Open-Source Robotic Hand Ai Hand Powered by micro:bit V2 Programming Educational

Ai Hand is an open-source robotic hand powered by micro :bit. With 6 joints and the micro :bit V2 as its core controller, it incorporates the Wonder Cam vision module and emits ultrasonic sensoAdditionally, it offers multiple expansion interfaces for you to conveniently customize and enhance your robotic hand.
 
🤖 1. What It Is
Open-source robotic hand kit built for education and hands-on learning in robotics, AI, vision, and programming.
Designed to be used with micro:bit V2 as the primary controller (often included in some versions, otherwise you must provide it).
Combines mechanical robotics, sensors, and AI vision to create an interactive robotic hand platform.
 
🧠 2. Core Controller — micro:bit V2
Uses the BBC micro:bit V2 microcontroller as its brain. micro:bit V2 includes:
Bluetooth, accelerometer, compass, three buttons, and 5×5 LED matrix
Built-in speaker, microphone, and capacitive touch sensor
micro:bit V2 enables wireless control, sensor reading, and programming for robotics projects.
 
📷 3. Vision & Sensors
Wonder Cam AI Vision Module — a built-in vision system that supports:
Colour recognition
Tag detection
Face recognition
Other fun AI vision activities
Glowy Ultrasonic Sensor — measures distance and can be used to trigger actions (e.g., open hand when object is at a set range).
 
✋ 4. Physical & Mechanical Features
6 joints enable basic robotic hand articulation.
Anti-blocking servos with built-in protection algorithm — prevents motor burn-out if something blocks or collides during motion.
Acrylic + metal build with robust structure and expansion interfaces for adding sensors or extensions.
Physical size: ~177 × 105 × 295 mm.
 
💡 5. Programming & Control Methods
Make code Programming — drag-and-drop block coding ideal for beginners and educational use.
Android / iOS App Control — intuitive control via mobile phone app with sliders/buttons.
micro:bit Coding & Control — direct control via micro:bit with Bluetooth or USB communication.
Support for Extensions — can connect additional sensors or modules for customized projects and learning pathways.
 
🧪 6. Built-In Behaviors & AI Projects
Sonic Distance Response — ultrasonic sensor triggers behaviors based on distance.
Face & Color Recognition — the vision module detects and frames recognized faces or colors.
Tag Recognition and Interaction — vision module reads position of tags for interactive tasks.
Waste Sorting Demo — AI vision used to categorize and display information about objects (e.g., “waste sorting").
 
🔄 7. Expandability & Secondary Development
Expansion interfaces on the hand allow you to add more sensors or modules (e.g., additional ultrasonic, IR, touch sensors).
Open-source software support lets you modify or extend functionality using micro:bit programming languages or Makecode blocks.
 
📦 8. What’s Usually Included
Typical kit box items (may vary by seller/version):
AiHand main robotic hand unit
micro:bit V2 (in some versions)
Power adapter & USB cable
Glowy ultrasonic sensor
Tags, number cards, and additional props for vision projects
Sensor wires & accessory bag
 
🎯 9. Ideal For
STEM/STEAM education — classroom robotics and coding lessons.
Beginners in programming & robotics — thanks to Makecode and app control.
AI learning — hands-on fun with vision recognition and sensor interaction.
DIY robotics projects — extend and customize with sensors and code.
 
📌 Quick Summary
Open-source educational robotic hand powered by micro:bit V2.
Supports AI vision (face, color, tag recognition) via WonderCam.
Multiple controls: Makecode, micro:bit, iOS/Android app.
Expandable, programmable, and ideal for robotics learning.