Arducam Pico4ML TinyML Dev Kit

The Arducam Pico4ML TinyML Dev Kit is a compact, single-board system that is energized by the Raspberry Pi RP2040 microcontroller. It is capable of running all Tensorflow Lite Micro tiny machine learning examples and has a QVGA camera module with ultra-low power consumption. This kit also includes a configurable 1-bit video data serial interface and a monochrome sensor for easy image processing in machine vision applications.

The Pico4ML TinyML Dev Kit is equipped with an audio chip that can output PDM (Pulse-density modulation) signals directly. This feature allows the RP2040 to receive audio input. The kit also includes a motion tracking feature with a 2.5 mW low-power 9-axis IMU.

There's a small TFT display on the back of the Pico4ML, a 160×80 LCD, which is connected to the board via the SPI interface. This allows for a live preview of the camera or a real-time display of the results of your machine learning models.

Arducam's Pico4ML is completely open-source. This means that all its codes, design files, and schematics are available for anyone to use, modify, or rebuild.

Features:

• Raspberry Pi RP2040 Microcontroller
• ICM-20948 Inertial Measurement Unit (low power)
• Mono channel microphone with direct PCM output
• Reset and Boot Buttons
• Camera Module: HiMax HM01B0, Up to QVGA (320 x 240)
• Screen: 2.44 cm LCD SPI Display (160 x 80, ST7735)
• Operating Voltage: 3.3V
• Current Draw: 40mA (standby), 60mA (running ML models)
• Input Voltage: VBUS: 5V +/- 10%, VSYS Max :5.5V
• Dimensions: 51 mm x 21 mm

Documents:

• Pico4ML User Manual
• Pico & Pico4ML Arducam Examples
• Schematic
• SPI Camera Driver for Pico
• Board 3D Model
• Enclosure 3D Model