This product is no longer available
We no longer stock Arducam Pico4ML TinyML Dev Kit, but here are current alternatives in Raspberry Pi Pico Kits.
Arducam Pico4ML TinyML Dev Kit
Discontinued
The Pico4ML TinyML Dev Kit from Arducam is a compact, all-in-one development board powered by Raspberry Pi's RP2040 microcontroller. Designed to run TensorFlow Lite Micro machine learning models, it integrates a camera, microphone, IMU, and LCD display on a single 51×21mm board.
The onboard QVGA camera module uses an ultra-low-power monochrome sensor, making image processing straightforward for machine vision applications. Combined with PDM audio input and a 9-axis IMU for motion tracking, the Pico4ML provides a complete sensor suite for edge AI experimentation. The project is fully open-source with all code, schematics, and design files available.
Key Features
- RP2040 Microcontroller – Raspberry Pi's dual-core Arm Cortex-M0+ processor
- HiMax HM01B0 Camera – Monochrome QVGA (320×240) sensor with ultra-low power consumption
- ICM-20948 9-Axis IMU – Low-power (2.5mW) accelerometer, gyroscope, and magnetometer
- PDM Microphone – Mono channel with direct PCM output for audio ML models
- 0.96″ LCD Display – 160×80 SPI display (ST7735) for live preview and ML results
- TensorFlow Lite Micro – Ready to run TinyML inference models out of the box
- Open Source – Full schematics, code, and 3D models freely available
Specifications
- Operating Voltage: 3.3V
- Input Voltage: VBUS 5V ±10%, VSYS max 5.5V
- Current Draw: 40mA standby, 60mA running ML models
- Buttons: Reset, Boot
- Dimensions: 51×21mm
Ideal For
- TinyML and edge AI experimentation
- Person detection and image classification projects
- Audio keyword spotting and voice recognition
- Gesture and motion recognition applications
Package Contents
- 1× Arducam Pico4ML TinyML Dev Kit
