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• Description
• 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(320×240)
• Screen:0.96 inch LCD SPI Display(160×80, 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×21 mm