On the afternoon of April 22, the 18th session of the Research Navigation Program was held in Classroom E105 of the teaching building at the East Coast Campus. Dong Chenyao, a postgraduate Party member from the Department of Mechanical Engineering, delivered a lecture on the applications of machine vision technology in intelligent manufacturing.

Dong Chenyao gave an in-depth analysis of the three core hardware components of a machine vision system — lighting sources, lenses, and industrial cameras, and elaborated on their selection logic and key performance indicators respectively.

She explained the core role of deep learning-based object detection algorithms in machine vision, introducing two-stage and one-stage algorithms. Combining real-world scenarios in intelligent manufacturing, she demonstrated the diverse applications of machine vision in areas such as unordered grasping of components, 3D vision-guided assembly, and precise industrial defect inspection.

This lecture not only enabled students to systematically grasp the core components and technical principles of machine vision, but also allowed them to intuitively appreciate its wide-ranging applications in intelligent manufacturing, broadening their horizons for future academic exploration and industrial practice.

Photos and text by Yao Yao