Raspberry Pi AI HAT 1 vs AI HAT 2: Which Should You Buy?
YOLO Object Detection on the Raspberry Pi AI Hat+ | How to Write Custom Python Code
YOLO Pose Estimation on the Raspberry Pi AI Hat+ | Writing Custom Python Code
Getting Started with the Grove Vision AI V2 | Power Efficient Object Detection
mBot2 & Rover Kit: A Hands-On Overview



A STEM robotics kit for makers and classrooms to teach AI and IoT via the CyberPi Controller - integrating WiFi, Bluetooth, precise encoder motors, sensors, and coding through block-based methods, to Python coding.




AI vision module with 9 built-in models, offline training and edge AI, easily add to the mBot2 and CyberPi via mBuild for face, colour, gesture tracking and many more.

HuskyLens is an easy-to-use AI vision sensor. It can learn to detect objects, faces, lines, colors and tags just by clicking.


With its freely available development resources, ESP32-S3-BOX-3 is the ultimate choice for prototyping new projects or building complex AIoT systems.

Train and run machine learning models on vision, sound and motion data - a complete tinyML lab that fits in your hand.













Pico4ML-Pro TinyML Dev Kit: Plug and Play RP2040 Board with 2.4-inch LCD Screen, Built-in Camera and Microphone, Multiple Mega SPI Camera Adapter...











Run Vision-Language-Action, LLM's or large Vision Models locally on untethered robots. Powered by the Blackwell architecture, this edge module delivers 2,070 FP4 TFLOPS and 128GB of onboard memory with an efficient power envelope.


A powerful and versatile machine learning HAT for the Pi 5 - run LLMs, VLMs and conventional vision models on low-power, edge hardware.


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YOLO Object Detection on the Raspberry Pi AI Hat+ | How to Write Custom Python Code
YOLO Pose Estimation on the Raspberry Pi AI HAT | Writing Python Scripts
Raspberry Pi AI HAT 1 vs AI HAT 2: Which Should You Buy?
Raspberry Pi AI Camera Quick-Start Guide
Getting Started with the Grove Vision AI V2 | Power Efficient Object Detection