Hiwonder uHandPi Raspberry Pi 5 AI Robotic Hand, AI Vision Recognition and Tracking, Python Programming, Deep Learning

The Hiwonder uHandPi is an advanced AI-powered robotic hand driven by the Raspberry Pi 5, designed to bring machine learning and computer vision projects to life. Featuring five flexible fingers, a rotating wrist, and an integrated HD camera, it is the perfect platform for South African students, educators, and makers exploring Python programming and OpenCV. Learn gesture tracking, face detection, and intelligent sorting with this highly interactive kit.

AI vision and machine learning

Equipped with a built-in HD camera, the uHandPi performs advanced vision tasks including colour recognition, face detection, and gesture tracking. Leveraging MediaPipe and machine learning, users can implement interactive models such as playing rock, paper, scissors.

Raspberry Pi 5 controller power

Powered by the high-performance Raspberry Pi 5, this robotic hand provides the processing power needed for complex motion control and OpenCV machine vision projects. It serves as an ideal hardware platform for learning Python programming.

Durable anti-blocking servos

The servos feature a built-in stall protection algorithm that prevents burnout caused by blockages or physical collisions. This safety mechanism significantly extends the operational lifespan of the robotic hand.

High-definition wide-angle camera

The integrated 300,000-pixel camera uses a GC0308 sensor chip to deliver a 680x480 resolution with a wide 130-degree field of view. USB plug-and-play functionality ensures a quick, hassle-free setup.

Proprietary finger linkage structure

Designed with a custom linkage mechanism, the hand allows for precise control over the opening and closing of each individual finger. This unique structure ensures exceptionally smooth and lifelike movements.

Dual-controller collaborative design

The system utilizes a dual-controller architecture to distribute processing tasks efficiently. This setup enables seamless collaboration between the primary controller and the hand's hardware drivers.