Maker.io main logo

CLUE Metal Detector in CircuitPython

2024-06-24 | By Adafruit Industries

License: See Original Project Displays LCD / TFT Circuit Playground

Courtesy of Adafruit

Guide by Kevin Walters

Overview

 

This project creates a metal detector using an Adafruit CLUE with a ‎few common components and an easy-to-make coil.‎

The program is written in CircuitPython for version 5.1.0 or later. The ‎code also runs on the Circuit Playground Bluefruit (CPB) with the TFT ‎Gizmo screen. The program can be used without a screen on the ‎CPB in audio/light mode only.‎

Alligator clips to male jumpers can be used with or without the ‎Adafruit Dragontail to connect the CLUE and the coil to the ‎breadboard. The pictures feature alternate products.‎

This project was inspired by an old Ray Marston book featuring a ‎metal detector project and the Detectorists BBC TV series.‎

project_1

An Adafruit CLUE with a simple circuit on a breadboard detecting a metallised sticker with a coil.‎

Parts

CLUE version

Circuit Playground Bluefruit with TFT Gizmo version

Circuit Playground Bluefruit only version

Common

Design

design_2

Michael Faraday's experiment to demonstrate inductance in 1831, engraving from Magnetism and ‎Electricity by Arthur Poyser (1892).

Primary coil (A) attached to battery (on right), secondary coil (B) ‎attached to galvanometer (C).‎

Inductance is a key part of many technologies in daily life, for ‎example:‎

  • charging - electric toothbrushes, the latest smartphones and ‎some wireless, in-ear headphones;
  • heating - induction cooking with metal cookware;
  • communication - contactless smartcards using NFC, RFID tags ‎and traditional tuning circuits for radios;
  • power supplies - transformers reduce the mains AC voltage to a ‎more practical level;
  • metal detection - airport security, automatic car park exit gates, ‎pipe/cable finders and hunting for treasure.

Leon Theremin's The Thing is an interesting, minimalist example of a ‎resonant cavity microphone, the equivalent of using an inductor ‎for LC tuning, an application of band-pass filtering.‎

Inductance and Permeability

A current flowing produces a magnetic field around it. Inductors are ‎electrical components designed to store energy in that magnetic ‎field. These are typically coils and often wrapped around a core. The ‎magnetic field can be affected by:‎

  • the material it passes through, this property is referred to ‎as magnetic permeability
  • the presence of a conductor nearby changing the effective ‎inductance of the coil from the induced eddy currents in that ‎conductor creating their own magnetic field
  • other magnetic fields

These first two properties make the inductor useful for detecting ‎conductive objects.‎

MAKE Presents: The Inductor is an excellent video introduction to ‎inductors by Collin Cunningham.‎

 

Metal Detection

The effect of nearby conductors on an inductor makes them a useful ‎component for detecting metal. A classic implementation of this in ‎electronics uses heterodyning where the beat frequency from ‎mixing an inductor-based search oscillator with a reference oscillator ‎is output to headphones.‎

Beat Frequency from An Oscillator Pair

The schematic on the left from R.M. Marston's 20 Solid State Projects ‎For The Home (1969) shows a transistor-based detector with ‎two colpitts oscillators. One oscillator uses the search coil and the ‎other a tunable reference coil which the users adjust to reduce the ‎beat frequency audio output to near 0Hz away from the target ‎material.‎

beat_3

beat_4

RLC Filters

Filters can easily be created with a resistor (R), an inductor (L) and a ‎capacitor (C). There are a variety of configurations of RLC filters and ‎many of them could be used to filter the square wave output from a ‎microcontroller which could then be sampled to check the ‎attenuation of the filter which would vary with the inductance.‎

An initial test of this approach with an Adafruit CLUE and a low-pass ‎filter didn't yield promising results. The plots below show theoretical ‎plots for a band-stop (notch) filter made with a resistor and a parallel ‎LC circuit which might be worth exploring.‎

sensors_frames-rlc-bandstop-filter-response-magnitude

Bode plot for a band-stop (notch) passive R-LC filter. The different lines are for various resistor values. ‎The animation varies the inductance to show the frequency shift.‎

The lower resistor values might not be practical as they put a higher ‎current demand on the GPIO port.‎

The annotated linear plot below is better for seeing how this ‎attenuation could potentially be used to detect small variations in ‎inductance.‎

sensors_frames-rlc-bandstop-filter-response

A linear plot with an example measurement of signal magnitude at a specific frequency as the ‎inductance varies.‎

This would require sampling the 989Hz signal to determine the ‎attenuation by the filter. A high inductance is attractive here as it will ‎lower the frequency making the determination of the attenuation ‎more accurate.‎

A frequency sweeping approach is an alternative for finding the ‎frequency of the filter. This is likely to be slower, but it would be less ‎ambiguous. A simple measurement approach at one frequency, say ‎‎2.741V, corresponds to two frequencies and therefore two different ‎inductance values.‎

Charging a Capacitor with RLD

An Arduino-based project on Instructibles uses an RL circuit with the ‎output rectified with a diode which then charges a capacitor. The ‎steps in the measurement of the inductance are:‎

  1. A few pulses are output through the circuit to charge the ‎capacitor. A higher inductance will result in a higher final ‎voltage across the capacitor.
  2. An analogue input then measures the capacitor's voltage with ‎over-sampling aiming to improve the accuracy
  3. The analogue input is changed momentarily to output mode to ‎empty (sink) the charge from the capacitor.‎

A C++ program (sketch) on the Arduino Uno offers precise timing. ‎This is essential for this approach to give accurate results for the ‎inductance.‎

In CircuitPython, the pulseio library can be used for creating PWM ‎signals and pulse trains with microsecond precision. In general, as an ‎interpreted language with garbage collection, it does not offer ‎precise timing. The unpredictable delay between step 1 and step 2 is ‎likely to affect the final accuracy of the measurement causing ‎sporadic, spurious indications.‎

Continuous Charge/Discharge with RLD

The previous approach can be used in a continuous fashion where a ‎constant series of pulses flow through the RLD. A circuit diagram ‎from the Falstad Circuit Simulator is shown below.‎

sensors_circuit-sim-running-high-speed-current-one

Circuit simulation of the continuous charging approach. The 200-milliohm resistor represents the ‎parasitic resistance of the coil. The 400k is an estimate of the input impedance of the GPIO in analogue ‎input mode. (This is a short, animated loop hence the incorrect current flow on the right side of the ‎diode.)‎

This design could be considered as an RL filter with an envelope ‎detector.‎

The value of the capacitor affects how quickly it discharges. A tiny ‎capacitance will cause a rapid discharge causing a ripple which may ‎reduce the accuracy or complicate the voltage measurement. A ‎large capacitor value will take time to charge and discharge and this ‎could make the sensing unresponsive.‎

A value of 0.1uF (which can be written as 100nF) was chosen from ‎experimental testing. For comparison, a simulation with 100pF (top ‎left) shows a very undesirable 197mV of ripple whereas 0.1uF only ‎has ~1mV ripple.‎

design_5

design_6

A small amount of steady voltage drops around 1mV is actually ‎useful here to ensure over-sampling is an effective technique to ‎improve the resolution. In the (unlikely) absence of noise or variation, ‎a theoretically perfect analogue to digital converter (ADC) would ‎output the same value repeatedly for a constant voltage. The ADC ‎Analysis page takes a closer look at this.‎

Two Coil Systems

Modern metal detectors using the induction balanced approach use ‎two, often partially overlapping search coils. One is used for ‎transmitting and one for receiving. A relatively small overlap will ‎create a section with increased sensitivity. These detectors can ‎discriminate to some extent between metals by reporting on ‎the phase difference between the transmitted and received signal. ‎This is typically presented to the user as a numerical value with ‎different ranges giving an approximate identification. Garrett's chart ‎for their AT Pro metal detector is shown below.‎

chart_7

Garrett AT Pro metal detector numeric target identifier chart.‎

CLUE Metal Detector

Some initial testing of the Continuous Charge/Discharge with ‎RLD approach worked well so this was selected for the project.‎

The CLUE has an onboard LIS3MDL, a triple-axis magnetometer. This ‎is a useful addition for finding magnets and magnetised items.‎

Microcontrollers vs Inductors

sensors_electroboom-inductor-3leds

Three LEDs with a combined forward voltage of approximately 9V lit by a 1.5V battery with an inductor in ‎series shown at 0.5x speed from Magic of Magnetism and Inductors by ElectroBOOM.‎

Microcontrollers vs Inductors

Inductors can generate high voltages which may exceed the desired ‎levels in a circuit. The video above shows a single-cell battery ‎connected to an inductor (top right) in series with three white LEDs. ‎The white LEDs require over 9V to illuminate but a mere 1.5V battery ‎is able to briefly illuminate them due to the inductor's effect.‎

In this case the red wire is being used to briefly short across the non-‎conducting LEDs to allow current to flow from the battery through ‎the inductor. The inductor is storing energy in its magnetic field and ‎this field products the momentary higher voltage as the red wire is ‎removed from the circuit. This demonstration of voltage spikes ‎suggests care is required when using inductors in circuits to keep ‎voltage levels at normal levels to avoid damaging sensitive ‎components.‎

TDK, a company founded on the invention of ferrite, offers an ‎explanation of this below with a parallel version of the circuit lighting ‎a 70V neon lamp from a 4.5V battery. This is from TDK's The ‎Wonders of Electromagnetism: Power Inductors in Mobile Phones.‎

explanation_8

Explanation of self-induction and generating voltage spikes with an inductor in parallel. Copyright TDK ‎Corporation.‎

GPIO Protection

The general-purpose input/output (GPIO) pins on microcontrollers ‎typically have some limited protection built-in for adverse voltages ‎often to deal with static electricity (ESD). The CLUE board uses ‎an nRF52 series chip and this has two internal diodes on each GPIO ‎pin. The partial schematic below shows an example of how these ‎two diodes are used for one pin.‎

partial_9

Partial schematic showing one example of a reverse-biased diode pair inside the nRF52840 ‎microcontroller protecting input and output against over/under voltage. The CLUE board's 1M resistor to ‎facilitate touch input is also shown.‎

The schematic shows the CLUE board's 1 Megaohm resistor. There's ‎one resistor per large pad used for the capacitive ‎touch implementation. The schematic also shows ‎an external resistor. This is another precaution that's typically used to ‎limit output current, but it will also reduce any current flowing ‎through these very small, protective diodes in the microcontroller.‎

The metal detector circuit on the next page uses a resistor primarily ‎to limit the current from the P1 output but it will also reduce any ‎adverse currents from under or over voltages caused by the inductor.‎

The square wave (3.3V pk-pk, 84% duty cycle) can be seen with and ‎without the inductor in the circuit here. The inductor does cause a ‎small negative voltage which briefly "peaks" at -0.6V on ‎the P1 pin/pad. The magnitude and brevity of this spike and the ‎current protection from the external 1k resistor mean the ‎microcontroller is not at risk.‎

circuit_9

circuit_10

Larger Coil Currents

If more current was being used through the coil, then an external ‎protection diode capable of handling this higher current would be a ‎wise precaution. The CLUE's nRF52840 can only supply low currents, ‎higher currents would need a separate power supply and switching ‎with a transistor. This could aid isolation of the GPIO from the ‎maleffects of the voltage spikes.‎

Diodes are commonly found across motors, relays and solenoids ‎protecting against back EMF and are sometimes referred to ‎as "flyback" diodes.‎

Circuit

version_11

Second version of coil, 28 turns around an 84mm (3.3in) diameter cylinder.‎

This page describes how the components are used on the ‎breadboard to make the circuit for the metal detector. It also ‎describes how to make and connect the coil.‎

Components

The components in the circuit are:‎

  • R1 - 1k resistor
  • D2 - 1N4148 signal diode (there is no D1)
  • C1 - 0.1uF (100nF) ceramic capacitor. These small capacitors are ‎often labelled "104"‎
  • L1 - home-made coil

The prototype was made with a 1N4004 rectifier diode and also ‎tested with a germanium diode from a crystal radio set, both worked ‎well and could be used as alternatives to the 1N4148 diode.‎

fritzing_12

Coil Construction

A coil with about 4-8m (13-26ft) is a good starting point to avoid ‎using too much wire. Insulated wire will work but "enamelled" ‎copper wire allows a more compact coil. The enamel is a misnomer, ‎the coating will be something like polyurethane varnish. This ‎insulation must be scraped or burnt off with a soldering iron at the ‎ends to expose the copper to connect it to the circuit.‎

The coil shown at the top of the page is enamelled 0.56mm wire ‎wrapped around an 84mm tube (3.3in). It has 12 coils then 9 more ‎coils over those then 7 coil more coils over those totalling 28. Placing ‎the coils close to the edge improves the effective search range but ‎care needs to be taken to ensure the coil does not fall off! A tiny ‎ridge has been made on end of the tube with masking tape to ‎reduce that risk.‎

The coil either needs to be very tight or held in place as movement ‎of the wire in the coil will subtly affect the inductance and parasitic ‎capacitance of the coil.‎

A prototype coil was also made (not shown) with 20 turns around a ‎core of a roll of masking tape with diameter 116mm (4.6in). This ‎worked well too.‎

Circuit Construction

The diagrams and pictures below show how the circuit can be ‎implemented on a breadboard for the three different configurations.‎

CLUE board

board_14

The breadboard showing the use of the Dragontail breakout board to connect CLUE's #0 (P0) and #1 (P1) ‎pads to circuit. The small inductor coil represents the large coil.‎

The coil needs to be connected to the breadboard. The options are:‎

  • Thick solid core wire may be directly inserted into the ‎breadboard. Tinning the end with solder will increase the ‎diameter of a wire and tame multi-strand wire.
  • A connector cable with male pins to alligator (crocodile) clips or ‎hooks (shown below). These will be needed for the Adafruit ‎enamelled wire.‎ 

breadboard_15

Breadboard for metal detector circuit. The CLUE is connected via a KItronik Edge Connector Breakout ‎Board out of shot. The blue and black leads at the bottom go to the coil. The diode is a 1N4148 signal ‎diode.‎

The CLUE board can be connected using the Dragontail or alligator ‎clips.‎

  • ‎#0 (P0) yellow wire - this is the square wave output.
  • #1 (P1) green wire - this is an analogue input measuring the ‎voltage across the capacitor.‎
  • GND black wire - this is only required if not using ‎the Dragontail. The Dragontail directly connects to the power ‎rails on one side of the breadboard.‎

It's best to insert or remove a CLUE board from an edge connector ‎with the power off to prevent inadvertent, transient short circuits.‎

Everything can be seen connected together in the picture below. ‎A Kitronik Edge Connector Breakout Board for BBC micro:bit (over ‎the top half of the breadboard) and Pimoroni IC hooks with ‎pigtails (to connect the coil) have been used for this implementation.‎

metal_16

Metal detector fully assembled. The blue and black wires/hooks to the inductor have been accidentally ‎swapped around for this photo - the electrons will not be concerned about this.‎

The circuit can only be tested once the CLUE has the CircuitPython ‎program on it. This is described on the next page.‎

If alligator clips are used, they need to be carefully placed in the ‎centre of the pad and protected from accidental nudges which ‎could cause the alligator clip to connect across the small pads either ‎side of #0, #1 or GND.‎

Circuit Playground Bluefruit with TFT Gizmo

The CPB board pads are not really accessible when the TFT Gizmo is ‎attached and most of them are used for the Gizmo. The Gizmo has 3-‎pin STEMMA connectors for accessing A1 and A2. A pair of STEMMA ‎‎3-Pin to male cables are required to connect this to the breadboard.‎

giz_17

The breadboard showing the Gizmo's STEMMA connections to the circuit. The small inductor coil ‎represents the large coil. Note: 1k resistor is not needed here.‎

The connections are:‎

  • A1 STEMMA (square wave output):
    • red - breadboard red (+) rail (not used).
    • white (yellow sleeves) - breadboard b22.‎
    • black - breadboard black (-) rail.‎
  • A2 STEMMA (analogue input):
    • red - breadboard red (+) rail (not used).‎
    • white (green sleeves) - breadboard e26.
    • black - breadboard black (-) rail.‎

assembled_18

Metal Detector fully assembled. The TFT Gizmo is mounted on a Circuit Playground Bluefruit. The ‎STEMMA cables have small sleeves on white signal cable to help distinguish them.‎

The TFT Gizmo has its own 1k resistors on the A1/A2 GPIO making the ‎resistor on the breadboard superfluous.‎

The red power lines are not used but plugging the pins into the ‎breadboard prevents them from accidentally contacting other ‎components or shorting to ground.‎

The red power lines from the STEMMA connector on the TFT Gizmo ‎are at VOUT level, i.e. 5V for USB power or the battery voltage.‎

Circuit Playground Bluefruit board only

The program still runs without a screen on a CPB board in ‎audio/light mode.‎

The connections are:‎

  • A1 (square wave output) - yellow wire - breadboard a18.‎
  • A2 (analogue input) - green wire - breadboard e26.‎
  • GND - black wire - breadboard black (-) rail.‎

connections_19

The breadboard showing the Circuit Playground Bluefruit connections to the circuit. The small inductor ‎coil represents the large coil. Note: 1k resistor is needed here.‎

CircuitPython on CLUE

CircuitPython is a derivative of MicroPython designed to simplify ‎experimentation and education on low-cost microcontrollers. It ‎makes it easier than ever to get prototyping by requiring no upfront ‎desktop software downloads. Simply copy and edit files on ‎the CIRCUITPY flash drive to iterate.‎

The following instructions will show you how to install CircuitPython. ‎If you've already installed CircuitPython but are looking to update it ‎or reinstall it, the same steps work for that as well!‎

Set up CircuitPython Quick Start!‎

Follow this quick step-by-step for super-fast Python power :)‎

Download the latest version of CircuitPython for CLUE from ‎circuitpython.org

Click the link above to download the latest version of ‎CircuitPython for the CLUE.‎

Download and save it to your desktop (or wherever is handy).‎

click_20

Plug your CLUE into your computer using a known-good USB cable.‎

A lot of people end up using charge-only USB cables and it is very ‎frustrating! So, make sure you have a USB cable you know is good ‎for data sync.‎

Double-click the Reset button on the top (magenta arrow) on your ‎board, and you will see the NeoPixel RGB LED (green arrow) turn ‎green. If it turns red, check the USB cable, try another USB port, ‎etc. Note: The little red LED next to the USB connector will pulse red. ‎That's ok!‎

If double-clicking doesn't work the first time, try again. Sometimes it ‎can take a few tries to get the rhythm right!‎

board_21

You will see a new disk drive appear called CLUEBOOT.‎

Drag the adafruit-circuitpython-clue-etc.uf2 file to CLUEBOOT.‎

drag_22

drag_23

The LED will flash. Then, the CLUEBOOT drive will disappear, and a ‎new disk drive called CIRCUITPY will appear.‎

If this is the first time, you're installing CircuitPython or you're doing ‎a completely fresh install after erasing the filesystem, you will have ‎two files - boot_out.txt, and code.py, and one folder - lib on ‎your CIRCUITPY drive.‎

If CircuitPython was already installed, the files present before ‎reloading CircuitPython should still be present on ‎your CIRCUITPY drive. Loading CircuitPython will not create new ‎files if there was already a CircuitPython filesystem present.‎

That's it, you're done! :)

flash_24

CircuitPython on Circuit Playground ‎Bluefruit

Install or Update CircuitPython

Follow this quick step-by-step to install or update CircuitPython on ‎your Circuit Playground Bluefruit.‎

Download the latest version of CircuitPython for this board via ‎circuitpython.org

Click the link above and download the latest UF2 file.

Download and save it to your Desktop (or wherever is handy).‎

download_25

Plug your Circuit Playground Bluefruit into your computer using a ‎known-good data-capable USB cable.‎

A lot of people end up using charge-only USB cables and it is very ‎frustrating! So, make sure you have a USB cable you know is good ‎for data sync.‎

Double-click the small Reset button in the middle of the CPB ‎‎(indicated by the red arrow in the image). The ten NeoPixel LEDs will ‎all turn red, and then will all turn green. If they turn all red and stay ‎red, check the USB cable, try another USB port, etc. The little red LED ‎next to the USB connector will pulse red - this is ok!‎

If double-clicking doesn't work the first time, try again. Sometimes it ‎can take a few tries to get the rhythm right!‎

‎(If double-clicking doesn't do it, try a single-click!)‎

plug_26

You will see a new disk drive appear called CPLAYBTBOOT.‎‎ ‎

‎Drag the adafruit_circuitpython_etc.uf2 file to CPLAYBTBOOT.‎

drive_27

drag_28

The LEDs will turn red. Then, the CPLAYBTBOOT drive will disappear, ‎and a new disk drive called CIRCUITPY will appear.‎

That's it, you're done! :)

appear_29

Metal Detector

screen_30

Metal detector start-up screen presenting the button guide shown on a TFT Gizmo attached to a Circuit ‎Playground Bluefruit (CPB).

Installing Project Code

To use with CircuitPython, you need to first install a few libraries, into ‎the lib folder on your CIRCUITPY drive. Then you need to ‎update code.py with the example script.‎

Thankfully, we can do this in one go. In the example below, click ‎the Download Project Bundle button below to download the ‎necessary libraries and the code.py file in a zip file. Extract the ‎contents of the zip file, open the ‎directory CLUE_Metal_Detector/ and then click on the directory that ‎matches the version of CircuitPython you're using and copy the ‎contents of that directory to your CIRCUITPY drive.‎

Your CIRCUITPY drive should now look similar to the following ‎image:‎

drive_31

Download Project Bundle

Copy Code
# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# clue-metal-detector v1.6
# A simple metal detector using a minimum number of external components

# Tested with an Adafruit CLUE (Alpha) and CircuitPython 5.2.0
# Tested with an Adafruit Circuit Playground Bluefruit with TFT Gizmo
# and CircuitPython 5.2.0

# CLUE: Pad P0 is an output and pad P1 is an input
# CPB: Pad/STEMMA A1 is an output and Pad/STEMMA A2 is an input

# copy this file to CLUE/CPB board as code.py

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

# pylint: disable=global-statement

import time
import math
import array
import os
import gc

import board
import pwmio
import analogio
import ulab

from displayio import Group, CIRCUITPYTHON_TERMINAL
import terminalio

# These imports works on CLUE, CPB (and CPX on 5.x)
from audiocore import RawSample
try:
from audioio import AudioOut
except ImportError:
from audiopwmio import PWMAudioOut as AudioOut

# displayio graphical objects
from adafruit_display_text.label import Label
from adafruit_display_shapes.rect import Rect
from adafruit_display_shapes.circle import Circle


# Assuming CLUE if it's not a Circuit Playround (Bluefruit)
clue_less = "Circuit Playground" in os.uname().machine

if clue_less:
# CPB with TFT Gizmo (240x240)
from adafruit_circuitplayground import cp
from adafruit_gizmo import tft_gizmo

# Outputs
display = tft_gizmo.TFT_Gizmo()
audio_out = AudioOut(board.SPEAKER)
min_audio_frequency = 100
max_audio_frequency = 4000
pixels = cp.pixels
board_pin_output = board.A1

# Enable the onboard amplifier for speaker
cp._speaker_enable.value = True # pylint: disable=protected-access

# Inputs
board_pin_input = board.A2
magnetometer = None # This indicates device is not present
button_left = lambda: cp.button_b
button_right = lambda: cp.button_a

else:
# CLUE with builtin screen (240x240)
from adafruit_clue import clue

# Outputs
display = board.DISPLAY
audio_out = AudioOut(board.SPEAKER)
min_audio_frequency = 100
max_audio_frequency = 5000
pixels = clue.pixel
board_pin_output = board.P0

# Inputs (buttons reversed as it is used upside-down with Gizmo)
board_pin_input = board.P1
magnetometer = lambda: clue.magnetic
button_left = lambda: clue.button_a
button_right = lambda: clue.button_b


# Globals variables used r/w in functions
last_frequency = 0
last_negbar_len = None
last_posbar_len = None
last_mag_radius = None
text_overlay_gob = None
voltage_barneg_dob = None
voltage_sep_dob = None
voltage_barpos_dob = None
magnet_circ_dob = None

# Globals
debug = 1
screen_height = display.height
screen_width = display.width
samples = []

# Other globals
quantize_tones = True
audio_on = True
screen_on = True
mu_output = False
neopixel_on = True

# Used to alternate/flash the NeoPixel
neopixel_alternate = True

# Some constants used in start_beep()
BASE_NOTE = 261.6256 # C4 (middle C)
QUANTIZE = 4 # determines the "scale"
POSTLOG_FACTOR = QUANTIZE / math.log(2)

AUDIO_MIDPOINT = 32768

# There's room for 80 pixels but 60 draws a bit quicker
VOLTAGE_BAR_WIDTH = 60
VOLTAGE_BAR_HEIGHT = 118
VOLTAGE_BAR_SEP_HEIGHT = 4
MAG_MAX_RADIUS = 50

VOLTAGE_FMT = "{:6.1f}"
MAG_FMT = "{:6.1f}"

INFO_FG_COLOR = 0x000080
INFO_BG_COLOR = 0xc0c000
BLACK_TUPLE = (0, 0, 0)

RED = 0xff0000
GREEN75 = 0x00c000
BLUE = 0x0000ff
WHITE75 = 0xc0c0c0

FONT_WIDTH, FONT_HEIGHT = terminalio.FONT.get_bounding_box()

# Thresholds below which audio is silent and NeoPixels are dark
threshold_voltage = 0.002
threshold_mag = 2.5


def d_print(level, *args, **kwargs):
"""A simple conditional print for debugging based on global debug level."""
if not isinstance(level, int):
print(level, *args, **kwargs)
elif debug >= level:
print(*args, **kwargs)


# Adapted and borrowed from clue-plotter v1.14
def wait_release(text_func, button_func, menu):
"""Calls button_func repeatedly waiting for it to return a false value
and goes through menu list as time passes.

The menu is a list of menu entries where each entry is a
two element list of time passed in seconds and text to display
for that period. Text is displayed by calling text_func(text).
The entries must be in ascending time order."""

start_t_ns = time.monotonic_ns()
menu_option = None
selected = False

for menu_option, menu_entry in enumerate(menu):
menu_time_ns = start_t_ns + int(menu_entry[0] * 1e9)
menu_text = menu_entry[1]
if menu_text:
text_func(menu_text)
while time.monotonic_ns() < menu_time_ns:
if not button_func():
selected = True
break
if menu_text:
text_func("")
if selected:
break

return (menu_option, (time.monotonic_ns() - start_t_ns) * 1e-9)


def popup_text(text_func, text, duration=1.0):
"""Place some text on the screen using info property of Plotter object
for duration seconds."""
text_func(text)
time.sleep(duration)
text_func(None)


def show_text(text):
"""Place text on the screen. Empty string or None clears it."""
global screen_group, text_overlay_gob

if text:
font_scale = 3
line_spacing = 1.25

text_lines = text.split("\n")
max_word_chars = max([len(word) for word in text_lines])
# If too large reduce the scale to 2 and hope!
if (max_word_chars * font_scale * FONT_WIDTH > screen_width
or (len(text_lines) * font_scale
* FONT_HEIGHT * line_spacing) > screen_height):
font_scale -= 1

text_overlay_gob = Label(terminalio.FONT,
text=text,
scale=font_scale,
background_color=INFO_FG_COLOR,
color=INFO_BG_COLOR)
# Centre the (left justified) text
text_overlay_gob.x = (screen_width
- font_scale * FONT_WIDTH * max_word_chars) // 2
text_overlay_gob.y = screen_height // 2
screen_group.append(text_overlay_gob)
else:
if text_overlay_gob is not None:
screen_group.remove(text_overlay_gob)
text_overlay_gob = None


def voltage_bar_set(volt_diff):
"""Draw a bar based on positive or negative values.
Width of 60 is performance compromise as more pixels take longer."""
global voltage_sep_dob, voltage_barpos_dob, voltage_barneg_dob
global last_negbar_len, last_posbar_len

if voltage_sep_dob is None:
voltage_sep_dob = Rect(160, VOLTAGE_BAR_HEIGHT,
VOLTAGE_BAR_WIDTH, VOLTAGE_BAR_SEP_HEIGHT,
fill=WHITE75)
screen_group.append(voltage_sep_dob)

if volt_diff < 0:
negbar_len = max(min(-round(volt_diff * 5e3),
VOLTAGE_BAR_HEIGHT), 1)
posbar_len = 1
else:
negbar_len = 1
posbar_len = max(min(round(volt_diff * 5e3),
VOLTAGE_BAR_HEIGHT), 1)

if posbar_len == last_posbar_len and negbar_len == last_negbar_len:
return

if voltage_barpos_dob is not None:
screen_group.remove(voltage_barpos_dob)
if posbar_len > 0:
voltage_barpos_dob = Rect(160, VOLTAGE_BAR_HEIGHT - posbar_len,
VOLTAGE_BAR_WIDTH, posbar_len,
fill=GREEN75)
screen_group.append(voltage_barpos_dob)
last_posbar_len = posbar_len

if voltage_barneg_dob is not None:
screen_group.remove(voltage_barneg_dob)
if negbar_len > 0:
voltage_barneg_dob = Rect(160,
VOLTAGE_BAR_HEIGHT + VOLTAGE_BAR_SEP_HEIGHT,
VOLTAGE_BAR_WIDTH, negbar_len,
fill=RED)
screen_group.append(voltage_barneg_dob)
last_negbar_len = negbar_len


def magnet_circ_set(mag_ut):
"""Display a filled circle to represent the magnetic value mag_ut in microteslas."""
global magnet_circ_dob
global last_mag_radius

# map microteslas to a radius with minimum of 1 and
# maximum of MAG_MAX_RADIUS
radius = min(max(round(math.sqrt(mag_ut) * 4), 1), MAG_MAX_RADIUS)

if radius == last_mag_radius:
return

if magnet_circ_dob is not None:
screen_group.remove(magnet_circ_dob)
magnet_circ_dob = Circle(60, 180, radius, fill=BLUE)
screen_group.append(magnet_circ_dob)


def manual_screen_refresh(disp):
"""Refresh the screen as immediately as is currently possibly with refresh method."""
refreshed = False
while True:
try:
# 1000fps is fastest library allows - this high value
# minimises any delays this refresh() method introduces
refreshed = disp.refresh(minimum_frames_per_second=0,
target_frames_per_second=1000)
except RuntimeError:
pass
if refreshed:
break


def neopixel_set(pix, d_volt, mag_ut):
"""Set all the NeoPixels to an alternating colour
based on voltage difference and
magnitude of magnetic flux density difference."""
global neopixel_alternate

np_r, np_g, np_b = BLACK_TUPLE
if neopixel_alternate:
# RGB values are 8bit, hence the cap of 255 using min()
if abs(d_volt) > threshold_voltage:
if d_volt < 0.0:
np_r = min(round(-d_volt * 8e3), 255)
else:
np_g = min(round(d_volt * 8e3), 255)
else:
if mag_ut > threshold_mag:
np_b = min(round(mag_ut * 6), 255)

pix.fill((np_r, np_g, np_b)) # Note: double brackets to pass tuple
neopixel_alternate = not neopixel_alternate


def start_beep(freq, wave, wave_idx):
"""Start playing a continous beep based on freq and waveform specified by wave_idx.
A frequency of 0 will stop the note playing.
This quantizes the notes into a scale to make beeping sound more pleasant.
This modifies the sample_rate property of the RawSample objects.
"""
global last_frequency
if freq == 0:
if last_frequency != 0:
audio_out.stop()
last_frequency = 0
return

if quantize_tones:
note_freq = BASE_NOTE * 2**((round(math.log(freq / BASE_NOTE)
* POSTLOG_FACTOR)) / QUANTIZE)
d_print(3, "Quantize", freq, note_freq)
else:
note_freq = freq

(waveform, wave_samples_n) = wave[wave_idx]
new_freq = round(note_freq * wave_samples_n)
# Only set the new frequency if it's not the same as last one
if new_freq != last_frequency:
waveform.sample_rate = new_freq
audio_out.play(waveform, loop=True)
last_frequency = new_freq


def make_sample_list(levels=10,
volume=32767,
range_l=24,
start_l=8):
"""Make a list of tuples of (RawSample, sample_length)
with a sine wave of varying resolution from high to low.
The lower resolutions sound crunchier and louder on the CLUE."""

# Make a range of sample lengths, default is between 32 and 8
sample_lens = [int((x*(range_l + .99)/(levels - 1)) + start_l)
for x in range(0, levels)]
sample_lens.reverse()

wavefs = []
for s_len in sample_lens:
raw_samples = array.array("H",
[round(volume * math.sin(2 * math.pi
* (idx / s_len)))
+ AUDIO_MIDPOINT
for idx in range(s_len)])
sound_samples = RawSample(raw_samples)
wavefs.append((sound_samples, s_len))

return wavefs


waveforms = make_sample_list()

# For testing the waveforms
if debug >= 4:
for idx in range(len(waveforms)):
start_beep(440, waveforms, idx)
time.sleep(0.1)
start_beep(0, waveforms, 0) # This silences it

# See https://forums.adafruit.com/viewtopic.php?f=60&t=164758 for
# a comparison and performance analysis of alternate techniques for this
def sample_sum(pin, num):
"""Sample the analogue value from pin num times and return the sum
of the values."""
global samples # Not strictly needed - indicative of r/w use
samples[:] = [pin.value for _ in range(num)]
return sum(samples)


# Initialise detector display
# The units are created as separate text objects as they are static
# and this reduces the amount of redrawing for the dynamic numbers
FONT_SCALE = 3

if magnetometer is not None:
magnet_value_dob = Label(font=terminalio.FONT,
text="----.-",
scale=FONT_SCALE,
color=0xc0c000)
magnet_value_dob.y = 90

magnet_units_dob = Label(font=terminalio.FONT,
text="uT",
scale=FONT_SCALE,
color=0xc0c000)
magnet_units_dob.x = len(magnet_value_dob.text) * FONT_WIDTH * FONT_SCALE
magnet_units_dob.y = magnet_value_dob.y

voltage_value_dob = Label(font=terminalio.FONT,
text="----.-",
scale=FONT_SCALE,
color=0x00c0c0)
voltage_value_dob.y = 30

voltage_units_dob = Label(font=terminalio.FONT,
text="mV",
scale=FONT_SCALE,
color=0x00c0c0)
voltage_units_dob.y = voltage_value_dob.y
voltage_units_dob.x = len(voltage_value_dob.text) * FONT_WIDTH * FONT_SCALE

screen_group = Group()
if magnetometer is not None:
screen_group.append(magnet_value_dob)
screen_group.append(magnet_units_dob)
screen_group.append(voltage_value_dob)
screen_group.append(voltage_units_dob)

# Initialise some displayio objects and append them
# The following four variables are set by these two functions
# voltage_barneg_dob, voltage_sep_dob, voltage_barpos_dob
# magnet_circ_dob
voltage_bar_set(0)
if magnetometer is not None:
magnet_circ_set(0)

# Start-up splash screen
display.root_group = screen_group

# Start-up splash screen
popup_text(show_text,
"\n".join(["Button Guide",
"Left: audio",
" 2secs: NeoPixel",
" 4s: screen",
" 6s: Mu output",
"Right: recalibrate"]), duration=10)

# P1 or A2 for analogue input
pin_input = analogio.AnalogIn(board_pin_input)
CONV_FACTOR = pin_input.reference_voltage / 65535

# Start pwm output on P0 or A1
# 400kHz and 55000 (84%) duty_cycle were chosen empirically to maximise
# the voltage and the voltage drop detecting a small pair of metal scissors
pwm = pwmio.PWMOut(board_pin_output, frequency=400 * 1000,
duty_cycle=0, variable_frequency=True)
pwm.duty_cycle = 55000


# Get a baseline value for magnetometer
totals = [0.0] * 3
mag_samples_n = 10
if magnetometer is not None:
for _ in range(mag_samples_n):
mx, my, mz = magnetometer()
totals[0] += mx
totals[1] += my
totals[2] += mz
time.sleep(0.05)

base_mx = totals[0] / mag_samples_n
base_my = totals[1] / mag_samples_n
base_mz = totals[2] / mag_samples_n

# Wait a bit for P1/A2 input to stabilise
_ = sample_sum(pin_input, 3000) / 3000 * CONV_FACTOR
base_voltage = sample_sum(pin_input, 1000) / 1000 * CONV_FACTOR
voltage_value_dob.text = "{:6.1f}".format(base_voltage * 1000.0)

# Auto refresh off
display.auto_refresh = False

# Store two previous values of voltage to make a simple
# filtered value
voltage_zm1 = None
voltage_zm2 = None
filt_voltage = None

# Initialise the magnitude of the
# magnetic flux density difference from its baseline
mag_mag = 0.0

# Keep some historical voltage data to calculate median for re-baselining
# aiming for about 10 reads per second so this gives
# 20 seconds
voltage_hist = ulab.numpy.zeros(20 * 10 + 1, dtype=ulab.numpy.float)
voltage_hist_idx = 0
voltage_hist_complete = False
voltage_hist_median = None

# Reduce the frequency of the more heavyweight graphical changes
update_basic_graphics_period = 2
update_complex_graphics_period = 4
update_median_period = 5

counter = 0
while True:
# Garbage collect now to reduce likelihood it occurs
# during sample reading
gc.collect()
if debug >=2:
d_print(2, "mem_free=" + str(gc.mem_free()))

screen_updates = 0 # Used to determine if the screen needs a refresh

# Take arithmetic mean of 500 samples but take a few more samples
# if the loop isn't doing other work
samples_to_read = 500 # About 23ms worth on CLUE
update_basic_graphics = (screen_on
and counter % update_basic_graphics_period == 0)
if not update_basic_graphics:
samples_to_read += 150
update_complex_graphics = (screen_on
and counter % update_complex_graphics_period == 0)
if not update_complex_graphics:
samples_to_read += 400
update_median = counter % update_median_period == 0
if not update_median:
samples_to_read += 50
# Read the analogue values from P1/A2
sample_start_time_ns = time.monotonic_ns()
voltage = (sample_sum(pin_input, samples_to_read)
/ samples_to_read * CONV_FACTOR)

# Store the previous two voltage values
voltage_zm2 = voltage_zm1
voltage_zm1 = voltage

if voltage_zm1 is None:
voltage_zm1 = voltage
if voltage_zm2 is None:
voltage_zm2 = voltage

filt_voltage = (voltage * 0.4
+ voltage_zm1 * 0.3
+ voltage_zm2 * 0.3)

update_basic_graphics = counter % update_basic_graphics_period == 0
update_complex_graphics = counter % update_complex_graphics_period == 0

# Update text
if update_basic_graphics:
voltage_value_dob.text = VOLTAGE_FMT.format(filt_voltage * 1000.0)
screen_updates += 1

# Read magnetometer
if magnetometer is not None:
mx, my, mz = magnetometer()
diff_x = mx - base_mx
diff_y = my - base_my
diff_z = mz - base_mz
# Use the z value as a crude measure as this is
# constant if the device is rotated and kept level
mag_mag = math.sqrt(diff_z * diff_z)
else:
mag_mag = 0.0

# Calculate a new audio frequency based on the absolute difference
# in voltage being read - turn small voltages into 0 for silence
# between 100Hz (won't be audible)
# and 5000 (loud on CLUE's miniscule speaker)
diff_v = filt_voltage - base_voltage
abs_diff_v = abs(diff_v)
if audio_on:
if abs_diff_v > threshold_voltage or mag_mag > threshold_mag:
frequency = min(min_audio_frequency + abs_diff_v * 5e5,
max_audio_frequency)
else:
frequency = 0 # silence
start_beep(frequency, waveforms,
min(int(mag_mag / 2), len(waveforms) - 1))

# Update the NeoPixel(s) if enabled
if neopixel_on:
neopixel_set(pixels, diff_v, mag_mag)

# Update voltage bargraph
if update_complex_graphics:
voltage_bar_set(diff_v)
screen_updates += 1

# Update the magnetometer text value and the filled circle representation
if magnetometer is not None:
if update_basic_graphics:
magnet_value_dob.text = MAG_FMT.format(mag_mag)
screen_updates += 1
if update_complex_graphics:
magnet_circ_set(mag_mag)
screen_updates += 1

# Update the screen with a refresh if needed
if screen_updates:
manual_screen_refresh(display)

# Send output to Mu in tuple format
if mu_output:
print((diff_v, mag_mag))

# Check for buttons and just for this section of code turn back on
# the screen auto-refresh so the menus actually appear!
display.auto_refresh = True
if button_left():
opt, _ = wait_release(show_text,
button_left,
[(2,
"Audio "
+ ("off" if audio_on else "on")),
(4,
"NeoPixel "
+ ("off" if neopixel_on else "on")),
(6,
"Screen "
+ ("off" if screen_on else "on")),
(8,
"Mu output "
+ ("off" if mu_output else "on"))
])
if not screen_on or opt == 2: # Screen toggle
screen_on = not screen_on
if screen_on:
display.root_group = screen_group
display.brightness = 1.0
else:
display.root_group = CIRCUITPYTHON_TERMINAL
display.brightness = 0.0
elif opt == 0: # Audio toggle
audio_on = not audio_on
if not audio_on:
start_beep(0, waveforms, 0) # Silence
elif opt == 1: # NeoPixel toggle
neopixel_on = not neopixel_on
if not neopixel_on:
neopixel_set(pixels, 0.0, 0.0)
else: # Mu toggle
mu_output = not mu_output

# Set new baseline voltage and magnetometer on right button press
if button_right():
wait_release(show_text,
button_right,
[(2, "Recalibrate")])
d_print(1, "Recalibrate")
base_voltage = voltage
voltage_hist_idx = 0
voltage_hist_complete = False
voltage_hist_median = None
if magnetometer is not None:
base_mx, base_my, base_mz = mx, my, mz

display.auto_refresh = False

# Add the current voltage to the historical list
voltage_hist[voltage_hist_idx] = voltage
if voltage_hist_idx >= len(voltage_hist) - 1:
voltage_hist_idx = 0
voltage_hist_complete = True
else:
voltage_hist_idx += 1

# Adjust the reference base_voltage to the median of historical values
if voltage_hist_complete and update_median:
voltage_hist_median = ulab.numpy.sort(voltage_hist)[len(voltage_hist) // 2]
base_voltage = voltage_hist_median

d_print(2, counter, sample_start_time_ns / 1e9,
voltage * 1000.0,
mag_mag,
filt_voltage * 1000.0, base_voltage, voltage_hist_median)

counter += 1

View on GitHub

Example Video

 

The video shows the CLUE version powered by a lithium polymer ‎battery similar to the Adafruit 1200mAh Lithium Ion Polymer battery. ‎Note: the CLUE and the CPB do not have an integrated charger.‎

In the video, when no object is being sensed, the voltage shown on ‎the screen is around 1474mV and magnitude of the magnetic flux ‎density difference is 0uT. The five hidden objects, in order, show the ‎following voltages:‎

  • Through a large hardback book
    • a large metallic sticker, 1467mV
  • Through a magazine
    • another Adafruit CLUE board, 1463mV
    • a ferrite core from an inductor, 1477mV (note the value ‎has increased);‎
    • a neodymium magnet, 1474mV and 28uT
    • a large silver coin 1469mV.‎

The voltage will vary based on the inductance of the coil created for ‎the metal detector. It will be about 300mV less if a rectifier diode like ‎a 1N1004 is used. The voltage is about 200mV less on the Circuit ‎Playground Bluefruit with TFT Gizmo for the same coil.‎

Troubleshooting

If the metal detector is not working, here's some tips based on ‎observing the voltage.‎

  • Around 2950mV: the coil is not connected, or the connection is ‎hampered by insulation left on the enamelled wire.‎
  • Around 0mV: diode may be the wrong way around or ‎something is not connected properly.‎
  • A few tens of mV: the yellow connection is probably from a high ‎‎(3.3V) pin.‎
  • Voltage jumps around: probably a loose connection and/or ‎ground is not attached. Wiggle and re-insert connections to ‎find problematic one. Using alternate holes/rows on the ‎breadboard can help sometimes.‎

Operation

The mV value across the capacitor is shown on screen. This value ‎represents the inductance value. The detection of metal is based on ‎a positive or negative change from the baseline value when no ‎object is being sensed. A difference is indicated by a beeping sound, ‎a bar graph with green for positive and red for negative and flashing ‎of the NeoPixel(s) with a matching colour. The baseline value is ‎assigned when the code first starts. It will also follow any changes ‎after about ten seconds.‎

The uT reading (CLUE board only) is the magnitude of the difference ‎between the magnetometer's z component only and the first value ‎measured at start-up. This value is also shown as a filled blue circle, a ‎slightly different beeping sound and flashing of the NeoPixel(s) in ‎blue alternating with any mV related colour.‎

The use of the z component only is a crude approach to make the ‎detector ignore the Earth's magnetic field. This allows the detector to ‎be rotated as this changes the x and y values but not the z value. ‎Tilting the device, as seen in the video when the metal detector is at ‎the top of the screen, will unfortunately increase the value slightly.‎

The right button can be used to immediately reset the baseline for ‎the voltage and the magnetic flux density. The left button toggles ‎the audio, NeoPixel(s), screen and Mu output on and off depending ‎on the duration of the button press.‎

Magnets at close proximity can permanently magnetise ‎components on the CLUE board affecting the magnetometer! Keep ‎them at least 10cm (4in) away from the CLUE.‎

Code

A code discussion follows the code.‎

Download Project Bundle‎

Copy Code
# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# clue-metal-detector v1.6
# A simple metal detector using a minimum number of external components

# Tested with an Adafruit CLUE (Alpha) and CircuitPython 5.2.0
# Tested with an Adafruit Circuit Playground Bluefruit with TFT Gizmo
# and CircuitPython 5.2.0

# CLUE: Pad P0 is an output and pad P1 is an input
# CPB: Pad/STEMMA A1 is an output and Pad/STEMMA A2 is an input

# copy this file to CLUE/CPB board as code.py

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

# pylint: disable=global-statement

import time
import math
import array
import os
import gc

import board
import pwmio
import analogio
import ulab

from displayio import Group, CIRCUITPYTHON_TERMINAL
import terminalio

# These imports works on CLUE, CPB (and CPX on 5.x)
from audiocore import RawSample
try:
from audioio import AudioOut
except ImportError:
from audiopwmio import PWMAudioOut as AudioOut

# displayio graphical objects
from adafruit_display_text.label import Label
from adafruit_display_shapes.rect import Rect
from adafruit_display_shapes.circle import Circle


# Assuming CLUE if it's not a Circuit Playround (Bluefruit)
clue_less = "Circuit Playground" in os.uname().machine

if clue_less:
# CPB with TFT Gizmo (240x240)
from adafruit_circuitplayground import cp
from adafruit_gizmo import tft_gizmo

# Outputs
display = tft_gizmo.TFT_Gizmo()
audio_out = AudioOut(board.SPEAKER)
min_audio_frequency = 100
max_audio_frequency = 4000
pixels = cp.pixels
board_pin_output = board.A1

# Enable the onboard amplifier for speaker
cp._speaker_enable.value = True # pylint: disable=protected-access

# Inputs
board_pin_input = board.A2
magnetometer = None # This indicates device is not present
button_left = lambda: cp.button_b
button_right = lambda: cp.button_a

else:
# CLUE with builtin screen (240x240)
from adafruit_clue import clue

# Outputs
display = board.DISPLAY
audio_out = AudioOut(board.SPEAKER)
min_audio_frequency = 100
max_audio_frequency = 5000
pixels = clue.pixel
board_pin_output = board.P0

# Inputs (buttons reversed as it is used upside-down with Gizmo)
board_pin_input = board.P1
magnetometer = lambda: clue.magnetic
button_left = lambda: clue.button_a
button_right = lambda: clue.button_b


# Globals variables used r/w in functions
last_frequency = 0
last_negbar_len = None
last_posbar_len = None
last_mag_radius = None
text_overlay_gob = None
voltage_barneg_dob = None
voltage_sep_dob = None
voltage_barpos_dob = None
magnet_circ_dob = None

# Globals
debug = 1
screen_height = display.height
screen_width = display.width
samples = []

# Other globals
quantize_tones = True
audio_on = True
screen_on = True
mu_output = False
neopixel_on = True

# Used to alternate/flash the NeoPixel
neopixel_alternate = True

# Some constants used in start_beep()
BASE_NOTE = 261.6256 # C4 (middle C)
QUANTIZE = 4 # determines the "scale"
POSTLOG_FACTOR = QUANTIZE / math.log(2)

AUDIO_MIDPOINT = 32768

# There's room for 80 pixels but 60 draws a bit quicker
VOLTAGE_BAR_WIDTH = 60
VOLTAGE_BAR_HEIGHT = 118
VOLTAGE_BAR_SEP_HEIGHT = 4
MAG_MAX_RADIUS = 50

VOLTAGE_FMT = "{:6.1f}"
MAG_FMT = "{:6.1f}"

INFO_FG_COLOR = 0x000080
INFO_BG_COLOR = 0xc0c000
BLACK_TUPLE = (0, 0, 0)

RED = 0xff0000
GREEN75 = 0x00c000
BLUE = 0x0000ff
WHITE75 = 0xc0c0c0

FONT_WIDTH, FONT_HEIGHT = terminalio.FONT.get_bounding_box()

# Thresholds below which audio is silent and NeoPixels are dark
threshold_voltage = 0.002
threshold_mag = 2.5


def d_print(level, *args, **kwargs):
"""A simple conditional print for debugging based on global debug level."""
if not isinstance(level, int):
print(level, *args, **kwargs)
elif debug >= level:
print(*args, **kwargs)


# Adapted and borrowed from clue-plotter v1.14
def wait_release(text_func, button_func, menu):
"""Calls button_func repeatedly waiting for it to return a false value
and goes through menu list as time passes.

The menu is a list of menu entries where each entry is a
two element list of time passed in seconds and text to display
for that period. Text is displayed by calling text_func(text).
The entries must be in ascending time order."""

start_t_ns = time.monotonic_ns()
menu_option = None
selected = False

for menu_option, menu_entry in enumerate(menu):
menu_time_ns = start_t_ns + int(menu_entry[0] * 1e9)
menu_text = menu_entry[1]
if menu_text:
text_func(menu_text)
while time.monotonic_ns() < menu_time_ns:
if not button_func():
selected = True
break
if menu_text:
text_func("")
if selected:
break

return (menu_option, (time.monotonic_ns() - start_t_ns) * 1e-9)


def popup_text(text_func, text, duration=1.0):
"""Place some text on the screen using info property of Plotter object
for duration seconds."""
text_func(text)
time.sleep(duration)
text_func(None)


def show_text(text):
"""Place text on the screen. Empty string or None clears it."""
global screen_group, text_overlay_gob

if text:
font_scale = 3
line_spacing = 1.25

text_lines = text.split("\n")
max_word_chars = max([len(word) for word in text_lines])
# If too large reduce the scale to 2 and hope!
if (max_word_chars * font_scale * FONT_WIDTH > screen_width
or (len(text_lines) * font_scale
* FONT_HEIGHT * line_spacing) > screen_height):
font_scale -= 1

text_overlay_gob = Label(terminalio.FONT,
text=text,
scale=font_scale,
background_color=INFO_FG_COLOR,
color=INFO_BG_COLOR)
# Centre the (left justified) text
text_overlay_gob.x = (screen_width
- font_scale * FONT_WIDTH * max_word_chars) // 2
text_overlay_gob.y = screen_height // 2
screen_group.append(text_overlay_gob)
else:
if text_overlay_gob is not None:
screen_group.remove(text_overlay_gob)
text_overlay_gob = None


def voltage_bar_set(volt_diff):
"""Draw a bar based on positive or negative values.
Width of 60 is performance compromise as more pixels take longer."""
global voltage_sep_dob, voltage_barpos_dob, voltage_barneg_dob
global last_negbar_len, last_posbar_len

if voltage_sep_dob is None:
voltage_sep_dob = Rect(160, VOLTAGE_BAR_HEIGHT,
VOLTAGE_BAR_WIDTH, VOLTAGE_BAR_SEP_HEIGHT,
fill=WHITE75)
screen_group.append(voltage_sep_dob)

if volt_diff < 0:
negbar_len = max(min(-round(volt_diff * 5e3),
VOLTAGE_BAR_HEIGHT), 1)
posbar_len = 1
else:
negbar_len = 1
posbar_len = max(min(round(volt_diff * 5e3),
VOLTAGE_BAR_HEIGHT), 1)

if posbar_len == last_posbar_len and negbar_len == last_negbar_len:
return

if voltage_barpos_dob is not None:
screen_group.remove(voltage_barpos_dob)
if posbar_len > 0:
voltage_barpos_dob = Rect(160, VOLTAGE_BAR_HEIGHT - posbar_len,
VOLTAGE_BAR_WIDTH, posbar_len,
fill=GREEN75)
screen_group.append(voltage_barpos_dob)
last_posbar_len = posbar_len

if voltage_barneg_dob is not None:
screen_group.remove(voltage_barneg_dob)
if negbar_len > 0:
voltage_barneg_dob = Rect(160,
VOLTAGE_BAR_HEIGHT + VOLTAGE_BAR_SEP_HEIGHT,
VOLTAGE_BAR_WIDTH, negbar_len,
fill=RED)
screen_group.append(voltage_barneg_dob)
last_negbar_len = negbar_len


def magnet_circ_set(mag_ut):
"""Display a filled circle to represent the magnetic value mag_ut in microteslas."""
global magnet_circ_dob
global last_mag_radius

# map microteslas to a radius with minimum of 1 and
# maximum of MAG_MAX_RADIUS
radius = min(max(round(math.sqrt(mag_ut) * 4), 1), MAG_MAX_RADIUS)

if radius == last_mag_radius:
return

if magnet_circ_dob is not None:
screen_group.remove(magnet_circ_dob)
magnet_circ_dob = Circle(60, 180, radius, fill=BLUE)
screen_group.append(magnet_circ_dob)


def manual_screen_refresh(disp):
"""Refresh the screen as immediately as is currently possibly with refresh method."""
refreshed = False
while True:
try:
# 1000fps is fastest library allows - this high value
# minimises any delays this refresh() method introduces
refreshed = disp.refresh(minimum_frames_per_second=0,
target_frames_per_second=1000)
except RuntimeError:
pass
if refreshed:
break


def neopixel_set(pix, d_volt, mag_ut):
"""Set all the NeoPixels to an alternating colour
based on voltage difference and
magnitude of magnetic flux density difference."""
global neopixel_alternate

np_r, np_g, np_b = BLACK_TUPLE
if neopixel_alternate:
# RGB values are 8bit, hence the cap of 255 using min()
if abs(d_volt) > threshold_voltage:
if d_volt < 0.0:
np_r = min(round(-d_volt * 8e3), 255)
else:
np_g = min(round(d_volt * 8e3), 255)
else:
if mag_ut > threshold_mag:
np_b = min(round(mag_ut * 6), 255)

pix.fill((np_r, np_g, np_b)) # Note: double brackets to pass tuple
neopixel_alternate = not neopixel_alternate


def start_beep(freq, wave, wave_idx):
"""Start playing a continous beep based on freq and waveform specified by wave_idx.
A frequency of 0 will stop the note playing.
This quantizes the notes into a scale to make beeping sound more pleasant.
This modifies the sample_rate property of the RawSample objects.
"""
global last_frequency
if freq == 0:
if last_frequency != 0:
audio_out.stop()
last_frequency = 0
return

if quantize_tones:
note_freq = BASE_NOTE * 2**((round(math.log(freq / BASE_NOTE)
* POSTLOG_FACTOR)) / QUANTIZE)
d_print(3, "Quantize", freq, note_freq)
else:
note_freq = freq

(waveform, wave_samples_n) = wave[wave_idx]
new_freq = round(note_freq * wave_samples_n)
# Only set the new frequency if it's not the same as last one
if new_freq != last_frequency:
waveform.sample_rate = new_freq
audio_out.play(waveform, loop=True)
last_frequency = new_freq


def make_sample_list(levels=10,
volume=32767,
range_l=24,
start_l=8):
"""Make a list of tuples of (RawSample, sample_length)
with a sine wave of varying resolution from high to low.
The lower resolutions sound crunchier and louder on the CLUE."""

# Make a range of sample lengths, default is between 32 and 8
sample_lens = [int((x*(range_l + .99)/(levels - 1)) + start_l)
for x in range(0, levels)]
sample_lens.reverse()

wavefs = []
for s_len in sample_lens:
raw_samples = array.array("H",
[round(volume * math.sin(2 * math.pi
* (idx / s_len)))
+ AUDIO_MIDPOINT
for idx in range(s_len)])
sound_samples = RawSample(raw_samples)
wavefs.append((sound_samples, s_len))

return wavefs


waveforms = make_sample_list()

# For testing the waveforms
if debug >= 4:
for idx in range(len(waveforms)):
start_beep(440, waveforms, idx)
time.sleep(0.1)
start_beep(0, waveforms, 0) # This silences it

# See https://forums.adafruit.com/viewtopic.php?f=60&t=164758 for
# a comparison and performance analysis of alternate techniques for this
def sample_sum(pin, num):
"""Sample the analogue value from pin num times and return the sum
of the values."""
global samples # Not strictly needed - indicative of r/w use
samples[:] = [pin.value for _ in range(num)]
return sum(samples)


# Initialise detector display
# The units are created as separate text objects as they are static
# and this reduces the amount of redrawing for the dynamic numbers
FONT_SCALE = 3

if magnetometer is not None:
magnet_value_dob = Label(font=terminalio.FONT,
text="----.-",
scale=FONT_SCALE,
color=0xc0c000)
magnet_value_dob.y = 90

magnet_units_dob = Label(font=terminalio.FONT,
text="uT",
scale=FONT_SCALE,
color=0xc0c000)
magnet_units_dob.x = len(magnet_value_dob.text) * FONT_WIDTH * FONT_SCALE
magnet_units_dob.y = magnet_value_dob.y

voltage_value_dob = Label(font=terminalio.FONT,
text="----.-",
scale=FONT_SCALE,
color=0x00c0c0)
voltage_value_dob.y = 30

voltage_units_dob = Label(font=terminalio.FONT,
text="mV",
scale=FONT_SCALE,
color=0x00c0c0)
voltage_units_dob.y = voltage_value_dob.y
voltage_units_dob.x = len(voltage_value_dob.text) * FONT_WIDTH * FONT_SCALE

screen_group = Group()
if magnetometer is not None:
screen_group.append(magnet_value_dob)
screen_group.append(magnet_units_dob)
screen_group.append(voltage_value_dob)
screen_group.append(voltage_units_dob)

# Initialise some displayio objects and append them
# The following four variables are set by these two functions
# voltage_barneg_dob, voltage_sep_dob, voltage_barpos_dob
# magnet_circ_dob
voltage_bar_set(0)
if magnetometer is not None:
magnet_circ_set(0)

# Start-up splash screen
display.root_group = screen_group

# Start-up splash screen
popup_text(show_text,
"\n".join(["Button Guide",
"Left: audio",
" 2secs: NeoPixel",
" 4s: screen",
" 6s: Mu output",
"Right: recalibrate"]), duration=10)

# P1 or A2 for analogue input
pin_input = analogio.AnalogIn(board_pin_input)
CONV_FACTOR = pin_input.reference_voltage / 65535

# Start pwm output on P0 or A1
# 400kHz and 55000 (84%) duty_cycle were chosen empirically to maximise
# the voltage and the voltage drop detecting a small pair of metal scissors
pwm = pwmio.PWMOut(board_pin_output, frequency=400 * 1000,
duty_cycle=0, variable_frequency=True)
pwm.duty_cycle = 55000


# Get a baseline value for magnetometer
totals = [0.0] * 3
mag_samples_n = 10
if magnetometer is not None:
for _ in range(mag_samples_n):
mx, my, mz = magnetometer()
totals[0] += mx
totals[1] += my
totals[2] += mz
time.sleep(0.05)

base_mx = totals[0] / mag_samples_n
base_my = totals[1] / mag_samples_n
base_mz = totals[2] / mag_samples_n

# Wait a bit for P1/A2 input to stabilise
_ = sample_sum(pin_input, 3000) / 3000 * CONV_FACTOR
base_voltage = sample_sum(pin_input, 1000) / 1000 * CONV_FACTOR
voltage_value_dob.text = "{:6.1f}".format(base_voltage * 1000.0)

# Auto refresh off
display.auto_refresh = False

# Store two previous values of voltage to make a simple
# filtered value
voltage_zm1 = None
voltage_zm2 = None
filt_voltage = None

# Initialise the magnitude of the
# magnetic flux density difference from its baseline
mag_mag = 0.0

# Keep some historical voltage data to calculate median for re-baselining
# aiming for about 10 reads per second so this gives
# 20 seconds
voltage_hist = ulab.numpy.zeros(20 * 10 + 1, dtype=ulab.numpy.float)
voltage_hist_idx = 0
voltage_hist_complete = False
voltage_hist_median = None

# Reduce the frequency of the more heavyweight graphical changes
update_basic_graphics_period = 2
update_complex_graphics_period = 4
update_median_period = 5

counter = 0
while True:
# Garbage collect now to reduce likelihood it occurs
# during sample reading
gc.collect()
if debug >=2:
d_print(2, "mem_free=" + str(gc.mem_free()))

screen_updates = 0 # Used to determine if the screen needs a refresh

# Take arithmetic mean of 500 samples but take a few more samples
# if the loop isn't doing other work
samples_to_read = 500 # About 23ms worth on CLUE
update_basic_graphics = (screen_on
and counter % update_basic_graphics_period == 0)
if not update_basic_graphics:
samples_to_read += 150
update_complex_graphics = (screen_on
and counter % update_complex_graphics_period == 0)
if not update_complex_graphics:
samples_to_read += 400
update_median = counter % update_median_period == 0
if not update_median:
samples_to_read += 50
# Read the analogue values from P1/A2
sample_start_time_ns = time.monotonic_ns()
voltage = (sample_sum(pin_input, samples_to_read)
/ samples_to_read * CONV_FACTOR)

# Store the previous two voltage values
voltage_zm2 = voltage_zm1
voltage_zm1 = voltage

if voltage_zm1 is None:
voltage_zm1 = voltage
if voltage_zm2 is None:
voltage_zm2 = voltage

filt_voltage = (voltage * 0.4
+ voltage_zm1 * 0.3
+ voltage_zm2 * 0.3)

update_basic_graphics = counter % update_basic_graphics_period == 0
update_complex_graphics = counter % update_complex_graphics_period == 0

# Update text
if update_basic_graphics:
voltage_value_dob.text = VOLTAGE_FMT.format(filt_voltage * 1000.0)
screen_updates += 1

# Read magnetometer
if magnetometer is not None:
mx, my, mz = magnetometer()
diff_x = mx - base_mx
diff_y = my - base_my
diff_z = mz - base_mz
# Use the z value as a crude measure as this is
# constant if the device is rotated and kept level
mag_mag = math.sqrt(diff_z * diff_z)
else:
mag_mag = 0.0

# Calculate a new audio frequency based on the absolute difference
# in voltage being read - turn small voltages into 0 for silence
# between 100Hz (won't be audible)
# and 5000 (loud on CLUE's miniscule speaker)
diff_v = filt_voltage - base_voltage
abs_diff_v = abs(diff_v)
if audio_on:
if abs_diff_v > threshold_voltage or mag_mag > threshold_mag:
frequency = min(min_audio_frequency + abs_diff_v * 5e5,
max_audio_frequency)
else:
frequency = 0 # silence
start_beep(frequency, waveforms,
min(int(mag_mag / 2), len(waveforms) - 1))

# Update the NeoPixel(s) if enabled
if neopixel_on:
neopixel_set(pixels, diff_v, mag_mag)

# Update voltage bargraph
if update_complex_graphics:
voltage_bar_set(diff_v)
screen_updates += 1

# Update the magnetometer text value and the filled circle representation
if magnetometer is not None:
if update_basic_graphics:
magnet_value_dob.text = MAG_FMT.format(mag_mag)
screen_updates += 1
if update_complex_graphics:
magnet_circ_set(mag_mag)
screen_updates += 1

# Update the screen with a refresh if needed
if screen_updates:
manual_screen_refresh(display)

# Send output to Mu in tuple format
if mu_output:
print((diff_v, mag_mag))

# Check for buttons and just for this section of code turn back on
# the screen auto-refresh so the menus actually appear!
display.auto_refresh = True
if button_left():
opt, _ = wait_release(show_text,
button_left,
[(2,
"Audio "
+ ("off" if audio_on else "on")),
(4,
"NeoPixel "
+ ("off" if neopixel_on else "on")),
(6,
"Screen "
+ ("off" if screen_on else "on")),
(8,
"Mu output "
+ ("off" if mu_output else "on"))
])
if not screen_on or opt == 2: # Screen toggle
screen_on = not screen_on
if screen_on:
display.root_group = screen_group
display.brightness = 1.0
else:
display.root_group = CIRCUITPYTHON_TERMINAL
display.brightness = 0.0
elif opt == 0: # Audio toggle
audio_on = not audio_on
if not audio_on:
start_beep(0, waveforms, 0) # Silence
elif opt == 1: # NeoPixel toggle
neopixel_on = not neopixel_on
if not neopixel_on:
neopixel_set(pixels, 0.0, 0.0)
else: # Mu toggle
mu_output = not mu_output

# Set new baseline voltage and magnetometer on right button press
if button_right():
wait_release(show_text,
button_right,
[(2, "Recalibrate")])
d_print(1, "Recalibrate")
base_voltage = voltage
voltage_hist_idx = 0
voltage_hist_complete = False
voltage_hist_median = None
if magnetometer is not None:
base_mx, base_my, base_mz = mx, my, mz

display.auto_refresh = False

# Add the current voltage to the historical list
voltage_hist[voltage_hist_idx] = voltage
if voltage_hist_idx >= len(voltage_hist) - 1:
voltage_hist_idx = 0
voltage_hist_complete = True
else:
voltage_hist_idx += 1

# Adjust the reference base_voltage to the median of historical values
if voltage_hist_complete and update_median:
voltage_hist_median = ulab.numpy.sort(voltage_hist)[len(voltage_hist) // 2]
base_voltage = voltage_hist_median

d_print(2, counter, sample_start_time_ns / 1e9,
voltage * 1000.0,
mag_mag,
filt_voltage * 1000.0, base_voltage, voltage_hist_median)

counter += 1

‎View on GitHub

Code Discussion

The high-level design is straightforward.‎

  1. Output a square wave on a pin.‎‎
  2. Store a baseline value from the other pin configured as an ‎analogue input which is measuring the voltage across the ‎capacitor.‎‎
  3. Store a baseline value for the z component of the ‎magnetometer (if present).
  4. Take the difference from the current analogue input and the ‎baseline and present this value to the user.‎‎
  5. Take the magnitude of the difference from the ‎current z component of the magnetometer and the baseline ‎and present this value to the user.‎‎
  6. Check the two buttons for user inputs.
  7. Go to step 4.‎

Only the buttons are used for the user interface on the CLUE. There ‎is one spare touch capable pad, but this isn't really accessible if an ‎edge connector is used.‎

Voltage from ADC Values

The ADC values are easily read in CircuitPython using ‎an AnalogIn object's value property. This value ranges from 0 to 65535 ‎‎(a 16bit value) regardless of the number of bits returned by the ADC. ‎The nRF52840 is configured in 12bit ADC mode by the CircuitPython ‎interpreter. This means values will always be multiples of 16.‎

One surprise is these values can vary even with a stable voltage ‎source like a battery. An extreme example from some real data for ‎consecutive values is:‎

  1. ‎25152 = 1266.5mV‎
  2. ‎28848 = 1452.6mV
  3. ‎28608 = 1440.5mV‎

In the case of this metal detector, a 3mV difference represents a ‎small metallic object, but the ADC is infrequently producing output ‎which hugely deviates from the actual value. Even the second and ‎third values have a 12.1mV difference.‎

A common approach is to take multiple samples and then take the ‎average (arithmetic mean) of those values with the aim of reducing ‎the effect of this variance. The sample_sum() function below does most of ‎this job, it leaves the division by num to the caller.‎

Download File

Copy Code
def sample_sum(pin, num):
"""Sample the analogue value from pin num times and return the sum
of the values."""
global samples
samples[:] = [pin.value for _ in range(num)]
return sum(samples)

This is one of the most efficient ways to read multiple samples with a ‎rate of around 21-22 thousand samples per second (ksps) on an ‎nRF52840. It also stores them in case further data analysis is ‎required. The use of global here isn't strictly required but arguably it's ‎useful to indicate the function changes the global list samples. The ‎values are intentionally processed here as int and not float to improve ‎the performance. The use of slice assignment is an attempt. ‎probably unsuccessful, to stop the interpreter generating a ‎temporary list to store all the sample values.‎

The performance of different approaches to reading many samples ‎is shown in Adafruit Forums: Analogue Sampling at high rates plus ‎ulab.‎

The validity of using the average of a number of consecutive ‎samples to accurately represent the real voltage is examined on the ‎next page.‎

Using Global Variables in Python

In Python, global must be used inside a function (or method) to ‎declare usage of a variable if assignment occurs. This prevents ‎Python from creating a new local variable. An example from the ‎program is shown below.‎

Download File

Copy Code
def magnet_circ_set(mag_ut):
"""Display a filled circle to represent the magnetic value mag_ut in microteslas."""
global magnet_circ_dob
global last_mag_radius

radius = min(max(round(math.sqrt(mag_ut) * 4),
1),
MAG_MAX_RADIUS)

if radius == last_mag_radius:
return

if magnet_circ_dob is not None:
screen_group.remove(magnet_circ_dob)
magnet_circ_dob = Circle(60, 180, radius, fill=BLUE)
screen_group.append(magnet_circ_dob)

Pylint picks up on use of global and issues a W0603: Using the global statement ‎‎(global-statement) warning. Variables with a large scope which are not ‎truly constant can make a program difficult to understand and lead ‎to bugs - global variables are the most extreme version of this. In a ‎small program they tend not to be problematic but small programs ‎can gradually become much larger ones. In the above case the ‎variables have:‎

  • a clear, specific, semi-documented purpose
  • and a very low probability of being used elsewhere in the code ‎in the future.‎

The current code does limit the display to a single circle/value. If the ‎program was likely to grow over time or there was a potential need ‎to display multiple circles/values then creating a new class would be ‎an attractive option to encapsulate this data replacing the use of ‎global variables.‎

In other languages, global variables can cause limitations or bugs ‎from ill-considered use due to multi-threading or re-entrancy issues. ‎The evolution of errno is one important example of a global variable ‎used by UNIX libraries which had to be enhanced to support true ‎multi-threading by conversion into a function.‎

Positional Arguments

The majority of programming languages use positional arguments ‎‎(parameters) to functions. An example from the code is show below ‎with the body of the procedure not shown for brevity.‎

Download File

Copy Code
def neopixel_set(pix, d_volt, mag_ut):
"""Set all the NeoPixels to an alternating colour
based on voltage difference and
magnitude of magnetic flux density difference."""

The three values are clearly very different:‎

  1. pix - an object for the NeoPixels, the fill() method is used on ‎it.‎‎
  2. d_volt - a difference value which may be positive or negative ‎in volts.‎‎
  3. mag_ut - a magnetic value in microteslas which happens to be a ‎magnitude of a difference value so is always non-negative.‎

A scientist would clearly see there are two quantities with very ‎different units. Python traditionally didn't have any typing that would ‎indicate if the procedure was used with the arguments in the wrong ‎order and during development the numerical arguments were ‎briefly reversed by accident. The use of keyword (named) arguments ‎can make this less likely to occur, particularly with functions which ‎take a huge number of arguments. Keyword arguments are only ‎mandatory in Python after * in the argument list.‎

CircuitPython supports type hints (PEP-484) which improves the ‎results from static analysis tools like pylint. This can reduce bugs in ‎this area but will not eliminate them.‎

Practical Issues with displayio Graphics

Drawing items on the TFT LCD screen on these boards is a slow ‎process compared to a modern desktop computer. This is ‎particularly noticeable when drawing large objects using ‎the adafruit_display_shapes library.‎

The program uses a variety of techniques to try and keep the main ‎loop executing at a reasonable and approximately constant rate ‎both especially when a significant object is detected.‎

  1. The default automatic screen refresh is replaced by a manual ‎refresh once per loop to CPU cycles are not spent on interim, ‎fruitless, partial screen updates.‎‎
  2. The MAG_MAX_RADIUS seen in the magnet_circ_set() procedure above ‎serves to ensure the filled circle fits on screen. It's set slightly ‎smaller than the screen area it occupies to reduce the ‎performance impact of drawing very large circles.
  3. Screen objects which are slow to update are reduced in ‎frequency with an "only every N time" approach in the main ‎loop.
  4. The number of samples read adapts to other balance other ‎activity in the loop to keep the execution rate more constant.
  5. Graphical objects are not updated if the screen has been ‎turned off in the program by the user.‎‎
  6. The numerical values on screen are split into two Label objects ‎to separate the dynamic value and the static units ‎‎("uT" and "mV").‎

The third, fourth and fifth optimisations are shown in an excerpt ‎below from the main loop.‎

Download File

Copy Code
# An excerpt from main loop
samples_to_read = 500 # About 23ms worth on CLUE
update_basic_graphics = (screen_on
and counter % update_basic_graphics_period == 0)
if not update_basic_graphics:
samples_to_read += 150
update_complex_graphics = (screen_on
and counter % update_complex_graphics_period == 0)
if not update_complex_graphics:
samples_to_read += 400
update_median = counter % update_median_period == 0
if not update_median:
samples_to_read += 50

This is setting ‎three boolean variables, update_basic_graphics, update_complex_graphics and update_median, which are used to selectively execute certain computationally ‎expensive parts of the loop and to increase the amount of sample ‎reading if those operations are not taking place to balance the loop ‎time and make practical use of this time. The first two values are ‎calculated using screen_on to ensure they are False if the screen is not ‎being used.‎

The displayio library has a builtin optimisation. Only areas of the ‎screen which have been changed are sent to the TFT LCD screen. ‎Internally these are processed as rectangular areas and marked as ‎‎"dirty" when they've been changed to indicate the need to send ‎them to the screen on the next refresh.‎

Filters with and without ulab Library

The main loop also has an extra level of filtering to try to further ‎reduce any brief, transient variations of voltage - these could give a ‎distracting, false indication. The simple code below shows how two ‎previous voltage values can be stored in simple variables. The _zm1 suffix ‎refers to z-1 which represents the unit delay in digital filter ‎implementations.‎‎ ‎

Download File

Copy Code
# Store the previous two voltage values
voltage_zm2 = voltage_zm1
voltage_zm1 = voltage

These are then used to make a "filtered" version of the voltage by a ‎multiplication by weights (coefficients) and summation.‎

Download File

Copy Code
# Make a filtered voltage from three values
filt_voltage = (voltage * 0.4
+ voltage_zm1 * 0.3
+ voltage_zm2 * 0.3)

This tiny low-pass, causal filter was improvised rather than designed ‎but appears to work reasonably well to reduce the effect of transient ‎spikes without introducing obvious delay.‎

CircuitPython 5.1.0 introduced the ulab library for boards with larger ‎CPUs like the nRF52840 on the CLUE/CPB. This library is a cut-down ‎version of numpy, providing very fast vector operations and efficient, ‎flexible storage for arrays. The ulab approach for this can be seen ‎on Low pass filtering: Measuring barometric Pressure. This type of ‎filter is know as a Finite Impulse Response (FIR) filter. There is also ‎a convolve function in ulab which can be used to perform this type of ‎filtering across arrays.‎

The program does make some use of ulab. The unfiltered voltage values ‎are continually stored in a fixed size 201 element float-‎based ulab ndarray. This is used in the style of a circular buffer storing ‎the most recent 201 values. These values are then used to calculate ‎the median voltage with the code shown below.‎

Download File

Copy Code
# Adjust the reference base_voltage to the median of historical values
if voltage_hist_complete and update_median:
voltage_hist_median = ulab.numpy.sort(voltage_hist)[len(voltage_hist) // 2]
base_voltage = voltage_hist_median

The code is updating the baseline voltage used as the datum for ‎calculating the voltage difference used to indicate metal. This allows ‎the code to deal with gradual shifts in the voltage level. An inevitable ‎side-effect of this approach is the detector will incorrectly adjust the ‎baseline if held over a metal object constantly for about ten seconds.‎

Magnetometer Baseline and Code Reviews

An informal code review by Jeff Epler highlighted an inconsistency in ‎the program for setting the baseline value for the magnetometer. ‎The code which initialises the values is shown below.‎

Download File

Copy Code
# Get a baseline value for magnetometer
totals = [0.0] * 3
mag_samples_n = 10
if magnetometer is not None:
for _ in range(mag_samples_n):
mx, my, mz = magnetometer()
totals[0] += mx
totals[1] += my
totals[2] += mz
time.sleep(0.05)

base_mx = totals[0] / mag_samples_n
base_my = totals[1] / mag_samples_n
base_mz = totals[2] / mag_samples_n

The code used within the loop if the user pressed the right button to ‎‎"Recalibrate" is a much simpler affair, shown below.‎

Download File

Copy Code
# Excerpt from main loop inside if button_right():
if magnetometer is not None:
base_mx, base_my, base_mz = mx, my, mz

The issues here could be summarised as:‎

  • There's no explanation in comments or documentation for this ‎inconsistency
  • There's no explanation for the 0.05 (50ms) pause in the for loop
  • A developer working on this code in the future is left to guess ‎the reasons for this and possibly duplicate them without being ‎able to justify the difference

The actual reason for the difference is the calibration feature was ‎added very late in the development process and was not part of any ‎initial design. The metal detector automatically adjusts the baseline ‎for the voltage which represents the inductance and presence of ‎metal. It does not do this for the magnetometer as this is a more ‎stable value. In testing it turned out to be useful sometimes to set a ‎new baseline for the magnetometer, so this was added as a feature ‎initiated by pressing the right button.‎

The small delay in the first code sample was based on prior ‎observations whilst developing the code for CLUE Sensor Plotter in ‎CircuitPython. The magnetometer issues duplicate values if read as ‎fast as possible (~230Hz) in CircuitPython. This suggests it has a fixed ‎rate for producing new values and the library does not wait (block) ‎for a new value to be produced. The adafruit_lis3mdl library shows a ‎set of different rates but does not document the default (the code ‎shows it as 155Hz). The adafruit_clue library does not set an explicit rate ‎which explains the duplication of results.‎

There's no particular reason for the difference in the number of ‎samples. This is worth checking particularly on power-up to see if the ‎sensor takes time to stabilise. The use case for user-initiated ‎recalibration may specify it occurs within a certain amount of time - ‎that would limit how many samples could be taken. In practical use, ‎the magnetometer value is fairly stable for tenths of microteslas (uT).‎

This could be enhanced with:‎

  • A concise explanation in the comments and any ‎documentation
  • For both uses, call a single function which includes a parameter ‎for the number of samples. This also ensures any future ‎modifications (software maintenance) to the code are applied ‎to both

ADC Analysis

adc_32

The normal distribution, also known as a Bell Curve, is a favourite of statisticians. The image is an ‎engraving of second Big Ben Bell from The Illustrated News of the World (1858).‎

The CLUE and Circuit Playground Bluefruit boards both use the ‎nRF52840 System on a Chip (SoC). This includes an analogue-to-‎digital converter (ADC) using the successive approximation design. ‎This is used in this project to measure the voltage across a capacitor. ‎CircuitPython configures this ADC in 12bit mode making each bit ‎equivalent to 0.806mV.‎

This page explores the consistency of the ADC and the distribution of ‎noise to determine if an average value (arithmetic mean) over a ‎certain number of samples is a valid approach to calculate an ‎accurate voltage.‎

Voltage across Capacitor in the Metal ‎Detector

The graph below shows 1000 successive samples from the same ‎function used in the program.‎

graph_33

The samples are shown as dots which grow in size and are coloured ‎relative to their distance from a fitted (straight) line. This visualisation ‎appears useful in confirming:‎

  • most values are near the line,
  • the distribution looks fairly even above and below the line(s),
  • a few values are significantly above or below the line, but these ‎also look reasonably evenly distributed either side for this ‎number of samples.‎

A second weighted line is also shown - this is a refinement created ‎by weighting the points based on their distance from the first line on ‎a scale of 4 to 1. This reduces the large effect that outliers have using ‎the least squares approach to line fitting. There's only a 0.2mV ‎difference between this potentially more accurate line's arithmetic ‎mean value and the samples suggesting a basic, quick-to-calculate ‎mean value gives a voltage with good accuracy. If the sampling was ‎reduced to, say 50 samples (over 2.4ms), then this looks more risky ‎for an outlier having a pronounced, adverse effect on the calculated ‎mean voltage.‎

The curve fitting is an unnecessary leftover from when this graphing ‎analysis code was used previously on a capacitor discharging. In this ‎case the capacitor is charging and discharging at a 400kHz rate. The ‎samples here have been gathered over ~47ms which covers over 18 ‎thousand charge cycles. This means the voltage will be largely ‎constant with a miniscule amount of ripple.‎

In this case, it's possible these outliers are genuine, but it seems ‎unlikely that the voltage is really jumping around because the:‎

  1. difference is so great,‎‎
  2. there's not an obvious "trail" of dots joining the spikes and
  3. there's a capacitor involved.‎

The use of weighting for this analysis means they are not ignored, ‎just downplayed based on the previous justification. Statistics by ‎Jim has a useful guide on distinguishing outliers and deciding what ‎to do with them. Discarding inconvenient results is not a good ‎justification!‎

This is a zoomed-in look at the lines. The scale exaggerates the tiny ‎gradient. The discrete ADC levels from 12bit sampling can be see ‎with the clearly defined rows of samples.‎

The P-P plot and Q-Q plot are common plots for visually comparing ‎the data to another distribution, in this case the normal distribution. ‎A matching distribution will overlap the straight line.‎

The histogram here is more of a bar chart as it's carefully aligned ‎with the quantized sample values. Only the central portion of values ‎is shown on this bar chart. This could show any ADC peculiarities ‎particularly with more graphs of samples. There's nothing that jumps ‎out as concerning here.‎

bar_34

bar_35

bar_36

bar_37

The choice of bucket size (width) for a histogram can have a large ‎effect on the visual representation of the data. If the data is ‎quantised in some way, then this effect can be more pronounced. ‎Checking and presenting varying bucket sizes is one way to avoid ‎creating misleading charts. The animated graph below shows ‎different bucket sizes across the full range of sample values ‎‎(voltages) with the data presented with the mean subtracted ‎making the central voltage 0mV.‎

sensors_md100nFcap4-fitted-line-residuals-histogram

A steady voltage reference source like a battery is a better test to ‎look at the ADC. The results for two 1000 sample runs against an old ‎alkaline AAA battery are very similar to the graphs above.‎

These tests were all conducted with the CLUE board powered by ‎USB power from a desktop computer. Some further testing would be ‎useful, like:‎

  1.  Powering the CLUE from battery power with USB power ‎removed to examine any adverse effects on the ADC from noise ‎on the power supply.
  2. Comparing multiple CLUE boards and other boards based on ‎the nRF52840.‎‎
  3. Checking the distribution on the samples when ‎measuring GND and 3.3V.‎‎
  4. Checking different ADC acquisition times - this requires use of ‎C++/Arduino.‎‎
  5. Comparing software over-sampling with nRF52840 hardware ‎over-sampling - this requires use of C++/Arduino.‎‎
  6. Looking at the sample data in the frequency domain to look for ‎any periodic peculiarities. This will be imperfect as the code in ‎CircuitPython is not taking samples at a precise rate and ‎the jitter will muddy everything except the very low ‎frequencies.‎

Going Further

Ideas for Areas to Explore

  • Vary the coil size and windings to see how this affects the ‎sensitivity.
  • Improve the magnetometer value as it currently only makes ‎use of the z dimension.
  • Add a recent peak feature to the voltage bar graph and ‎magnetometer circle.
  • If you are using the CPB without a screen:‎
    • Add some audio cues as time passes when the left button ‎is depressed to give an indication of the current menu ‎option.
    • Conditionally disable the screen update code for a faster ‎main loop or for better voltage stability from increased ‎sampling. The TFT Gizmo screen is not designed to be ‎detectable but the approach outlined in Adafruit Forums: ‎Is it possible to detect presence of Gizmo? is likely to work.‎

Related Projects

Further Reading

制造商零件编号 4500
CLUE NRF52840 EXPRESS
Adafruit Industries LLC
制造商零件编号 3695
DRAGONTAIL FOR MICRO:BIT
Adafruit Industries LLC
制造商零件编号 4333
CIRCUIT PLAYGROUND BLUEFRUIT BLE
Adafruit Industries LLC
制造商零件编号 4367
CIRCUIT PLAYGROUND TFT GIZMO
Adafruit Industries LLC
制造商零件编号 3893
JST PH 3PIN TO MALE HEADER CABLE
Adafruit Industries LLC
制造商零件编号 592
CABLE A PLUG TO MCR B PLUG 3'
Adafruit Industries LLC
制造商零件编号 64
BREADBOARD TERM STRIP 3.40X2.20"
Adafruit Industries LLC
制造商零件编号 759
JUMPER WIRE M/M 2.950" 1PC
Adafruit Industries LLC
制造商零件编号 3522
ENAMELED COPPER MAGNET WIRE 11
Adafruit Industries LLC
制造商零件编号 727
BATTERY HOLDER AAA 3 CELL LEADS
Adafruit Industries LLC
制造商零件编号 5601B
EDGE CONNECTOR BREAKOUT BOARD FO
Kitronik Ltd.
制造商零件编号 CAB-09741
TEST LEAD HOOK TO TIP PLUG 2.5"
SparkFun Electronics
制造商零件编号 2241
ADDRESS LED STRIP SERIAL RGB 1M
Adafruit Industries LLC
Add all DigiKey Parts to Cart
TechForum

Have questions or comments? Continue the conversation on TechForum, DigiKey's online community and technical resource.

Visit TechForum