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3 pre-trained TensorFlow Lite Micro examples are provided, Person Detection, Magic Wand, and Wake-Word Detection. You can also build, train and deploy your models on it.
Packing List:
To make Raspberry Pi Pico more robust for TFLite Micro, the Arducam team took the Raspberry Silicon (also known as the RP2040 chip) and created Pico4ML, a microcontroller dev board made exclusively for running and training machine learning examples.
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0.96 inch LCDThe small TFT display at the back of Pico4ML is a 160×80 LCD, it’s connected to the board through the SPI interface, you can do a live preview of the camera, or display the results of any of the your ML models in real-time. |
QVGA Camera ModuleAn HM01B0 camera module with ultra-low power consumption, configurable 1-bit video data serial interface with video frame and line sync, and the monochrome sensor make image processing easy for most machine vision applications. |
Onboard MicrophoneThe audio chip on the Pico4ML is capable of directly outputting PDM (Pulse-density modulation) signals, which allows the RP2040 to receive audio input, and it’s great for all the speech/voice recognition models. |