Artificial Intelligence Kit
- 5 CORE VISION ALGORITHMS: Color, shape, AR-code, feature-point and YOLOv5 recognition built in
- FITS 6 ELEPHANT ROBOTICS ARMS: Compatible across M5Stack and Raspberry Pi myCobot/myPalletizer/mechArm variants
- VISUAL POSITIONING & AUTO-SORT: Full pick, place and automatic sorting pipeline via Python-controlled software
- 2MP DISTORTION-FREE CAMERA: 110° FOV USB camera with fill light, 1080p @ 30fps, standard UVC protocol
- ROS SUPPORT (myCobot 280): Native ROS integration for arms that support it, alongside full Python control
- 8-TOPIC LEARNING CURRICULUM: OpenCV, Python, ROS, inverse kinematics, hand-eye calibration and robot vision
- COMPLETE HARDWARE SET: Acrylic base, universal arm mount, aluminum camera stand, suction pump V2.0, sorting bins
- Trusted dealerDirect manufacturer partnership
- Pan-India deliveryInsured shipping, all states
- Post-sale supportTraining + service included
What makes it work
Artificial Intelligence Kit
Vision, Positioning, Grabbing & Sorting — In One Platform
Newly upgraded with 5 major visual recognition algorithms and 7 hardware updates, supporting 6 Elephant Robotics arms. Python-based control lets you learn robotics from 8 perspectives — vision, positioning, grabbing and automatic sorting — with an open-source, education-first design.
AI Kit in Action
Color, Shape, AR-Code, Feature-Point & YOLOv5
Color and shape recognition on wooden blocks and cards, 4 types of QR-code recognition, and feature-point recognition that teaches image segmentation and the YOLOv5 algorithm.
M5Stack & Raspberry Pi Ready
What You'll Learn
OpenCV, Python, ROS and inverse kinematics — plus hand-eye calibration, robot vision, robot control principles and end-effector use.


Note: robot arm shown for reference — the arm itself is not included in the kit.
Full Specifications
| Total Measurement | 500 × 400 × 405 mm |
| Recognition Speed | Color/Shape/QR: 300ms · Feature points: 600ms |
| Recognition Accuracy | 3 mm |
| Camera | USB distortion-free, 2MP, 1080p @30fps, 110° FOV, 2.8mm focal length |
| Supported Formats | MJPG / YUY2, standard UVC protocol |
| Power Supply | DC5V 90mA |
| Compatible OS | Windows XP/7/8/10/VISTA · Mac · Linux (UVC) · Raspberry Pi · Android 4.2+ |
| Hardware Included | Acrylic base, universal arm mount, USB camera, aluminum camera stand, suction pump V2.0, sorting bins, packing sponge |
| Software | Color/shape/AR-code/feature-point/YOLOv5 recognition, visual positioning capture, auto-sorting, ROS (myCobot 280 only), Python |




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