Arducam Pico4ML TinyML Dev Kit: RP2040 Board w/ QVGA Camera, LCD Screen, Onboard Audio, Reset Button & More
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:
- 1 x Arducam Pico4ML Dev Board
- 1 x Micro USB Cable
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.
- Microcontroller: Raspberry Pi RP2040
- IMU: ICM-20948
- Camera Module: HiMax HM01B0, Up to QVGA (320 x 240 @60fps).
- Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735)
- Operating Voltage: 3.3V
- Input Voltage: 5V +/- 10% via VBUS, Max 5.5V via VSYS
- Board Size: 2” x 0.83” （51mm x 21mm）
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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. |
