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Quick Start

We’ve provided some pre-built binaries that you can just drag and drop onto your Pico4ML to make sure everything is working even before you start writing your code.

Pre-trained Models

Wake-word detection

A demo where Pico4ML provides always-on wake-word detection on whether someone is saying yes or no, using its onboard microphone and pre-trained speech detection model.

Magic Wand (Gesture Detection)

A demo where pico4ml casts several types of spells in one of the following three gestures: “Wing”, “Ring” and “Slope”, using its IMU and pre-trained gesture detection model.

image 3

Person Detection

A demo where pico4ML predicts the probabilities of the presence of a person with a Himax HM01B0 camera module.

First Use

Wake-word Detection

  1. Click on the link: https://raw.githubusercontent.com/ArduCAM/pico-tflmicro/main/bin/micro_speech.uf2 The “micro_speech.uf2” file will be downloaded.
  2. Go grab your Raspberry Pi or laptop, then press and hold the BOOTSEL button on your Pico4ML while you plug the other end of the micro USB cable into the board.
  3. Release the button after the board is plugged in. A disk volume called RPI-RP2 should pop up on your desktop.
  4. Double-click to open it, and then drag and drop the UF2 file into it. The volume will automatically unmount and the screen should light up.
  5. Hold your Pico4ML closer and say “yes” or “no”. The screen will display the corresponding word.

Magic Wand (Gesture Detection)

  1. Click on the link: https://raw.githubusercontent.com/ArduCAM/pico-tflmicro/main/bin/magic_wand.uf2 The “magic_wand.uf2” file will be downloaded.
  2. Repeat the 2nd-5th steps mentioned in “Wake-word Detection” to light up the screen.
  3. Wave your Pico4ML quickly in a W (wing), O (ring), or L (slope) shape. The screen will display the corresponding mark.

Person Detection

  1. Click on the link: https://raw.githubusercontent.com/ArduCAM/pico-tflmicro/main/bin/person_detection_int8.uf2 The “person_detection_int8.uf2” file will be downloaded.
  2. Repeat the 2nd-5th steps mentioned in “Wake-word Detection ” to light up the screen.
  3. Hold your Pico4ML to capture images. The screen will display the image and the probabilities of the presence of a person.
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