The WLKATA AI Vision Set is an entry-level machine vision platform designed for AI and robotics education. It is based on the OpenMV camera module and is fully compatible with WLKATA robotic arms like the Mirobot and MT4. It allows students to learn Python programming while performing real-world tasks like object recognition and automated sorting.

Main Features

AI Recognition: Capable of recognizing colors, shapes, barcodes, QR codes, human faces, and digits.

Python-Based: Built on MicroPython, making it easy to learn and modify for custom vision algorithms.

High Stability: The frame is made of high-quality CNC-machined aluminum alloy to ensure precision during robotic operations.

Educational Content: Comes with a comprehensive manual and source code for various experiments, such as intelligent sorting on a production line.

Real-time Feedback: Includes a 1.8-inch TFT LCD screen to monitor the camera's feed and processing results.

Technical Specifications

Vision Module: OpenMV Cam H7

Image Sensor: CMOS (resolution up to 640 x 480)

Processor: STM32H743VI ARM Cortex M7 (480 MHz)

RAM / Flash: 1 MB RAM / 2 MB Flash

Display: 1.8-inch TFT LCD

Light Source: Integrated LED Light Ring (8 LEDs)

Communication: USB, UART, I2C, SPI

Programming: Python (MicroPython)

Software: OpenMV IDE, WLKATA Studio, ROS, Matlab

Material: CNC Aluminum Alloy

Power Supply: 5V via USB

Weight: Approx. 3.1 kg (Total Kit)

Package Contents

Vision Stand: Durable aluminum frame for overhead mounting.

Camera Module: OpenMV H7 camera with lens.

LCD Screen: For real-time visual output.

Calibration Board: Used to sync the camera's coordinates with the robot's workspace.

Test Objects: Color blocks for sorting exercises.

Cables & Tools: USB cables and necessary hardware for assembly.

Compatible with: Haro380, Mirobot, MT4