WLKATA AI Vision Set for Mirobot MT4

WLKATA AI Vision Set

The WLKATA AI Vision Set is an OpenMV-based machine vision add-on for WLKATA robotic arms, designed to help learners explore colour recognition, object handling, calibration, image processing, and camera-guided automation. It is compatible with WLKATA Mirobot, MT4, Haro380, and MiroMax systems, making it a useful upgrade for schools, universities, STEM labs, robotics training centres, and engineering departments that want to add practical AI vision experiments to existing robotic arm setups.

OpenMV Machine Vision for Robotics Learning

The AI Vision Set uses an OpenMV 3 vision camera module to introduce learners to practical machine vision tasks such as colour recognition, object recognition, calibration, image processing, QR code recognition, and camera-guided robotic handling. When connected to a compatible WLKATA robotic arm, it allows users to build experiments where the robot responds to visual information instead of only following fixed movement commands.

• OpenMV-based machine vision learning set
• Designed for camera-guided robotic arm experiments
• Supports colour recognition, calibration, and image processing
• Useful for AI, robotics, STEM, and automation education

Built for WLKATA Robotic Arm Integration

The AI Vision Set is designed to work with WLKATA robotic arms including Mirobot, MT4, Haro380, and MiroMax. Its vision stand, light ring, display screen, calibration board, and wooden block set give learners the physical tools needed to set up repeatable classroom experiments, from simple colour sorting to more advanced vision-guided pick-and-place workflows.

• Compatible with Mirobot, MT4, Haro380, and MiroMax
• Includes vision stand, camera, light ring, and display screen
• Supports robotic object handling and sorting experiments
• Includes digital textbook and source code for structured learning

The WLKATA AI Vision Set is a practical add-on for turning a standard robotic arm lesson into a camera-guided automation project. It helps learners understand how visual recognition, programming, calibration, and robotic motion work together in modern AI robotics and smart manufacturing applications.