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 https://elecena.pl/product/27748726/sparkfun-arducam-pico4ml-tinyml-dev-kit 2025-01-23 https://elecena.pl/product/27748726/sparkfun-arducam-pico4ml-tinyml-dev-kit 2026-02-21