The Pico4ML TinyML Dev Kit from Arducam is a single board system powered by Raspberry Pi's RP2040 microcontroller. It has the power to run all Tensorflow Lite Micro tiny machine learning examples. The board features a QVGA camera module with ultra-low power consumption, configurable 1-bit video data serial interface with video frame and line sync, and the monochrome sensor makes image processing an easy part for most machine vision applications.
The audio chip on the Pico4ML is capable of directly outputting PDM (Pulse-density modulation) signals, this integration allows the RP2040 to receive audio input. Motion tracking is also a built-in feature with a 2.5 mW low-power 9-axis IMU.
The 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.
The Arducam Pico4ML is completely open-source, all its codes, design files, and schematics will be made available for anyone to use, rebuild or modify.
Features:
- Raspberry Pi RP2040 Microcontroller
- ICM-20948 Inertial Measurement Unit (low power)
- Mono channel microphone w/ direct PCM output
- Buttons:
- Reset
- Boot
- Camera Module: HiMax HM01B0, Up to QVGA (320 x 240)
- Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735)
- Operating Voltage: 3.3V
- Current Draw
- (standby): 40mA
- (running ML models): 60mA
- Input Voltage:
- VBUS: 5V +/- 10%.
- VSYS Max :5.5V
- Dimensions: 51 mm x 21 mm
Documents:
