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It combines an NVIDIA Jetson embedded AI platform, high-resolution camera, Linux-based vision control, OpenCV, Python, PyTorch, YOLOv5, textbook lessons, open-source code, and ready-to-run experiments.\u003c\/p\u003e\n\u003cp\u003eStudents can learn camera calibration, hand-eye calibration, QR code recognition, color detection, shape detection, feature-point detection, YOLOv5 object detection, sorting, inspection, defect detection, character recognition, and vision-guided robotic grasping.\u003c\/p\u003e\n\u003cp\u003eThe system is compatible with WLKATA robotic arms including Mirobot, MT4, Haro380, and MiroMAX. 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