Background:
The automation major at Zhuhai College of Science and Technology followed traditional industrial automation training, which struggled to meet the demands of modern smart manufacturing scenarios. A curriculum update was urgently needed.
Requirements:
1. Transition the machine vision course from LabVIEW to OpenCV and YOLO.
2. Cultivate students' robotics engineering skills for competitions.
3. Establish a comprehensive practice course for juniors and reform prerequisite courses around it.
Solutions:
1. Customized 15 sets of M-Series products tailored to their professional training needs.
2. Collaborated with faculty to develop courses on machine vision, machine learning, and mobile robot system design, effectively integrating AI technologies with traditional automation education.
