Proposed Model for Modernization of Punjab Skill Development Authority (PSDA) through Computer Vision Based Model

In technical colleges, different laboratory equipment is used to train students. After every three years, college equipment is physically verified for registration of the institute by higher authorities through technical teams. In the modern era of AI, these inspection teams can be replaced with computer vision, which can be used for the inspection and verification of equipment. Remotely controlled CCTV cameras or a thorough video of the laboratory can be sent to the PSDA (Punjab Skill Development Authority) so that they can smartly analyze the video with our AI Model. This model uses Computer Vision (CV) for object detection using deep learning CNN YOLO v11. Considering 14 classes of various lab equipment like, DC-Machines, Trainers, 3-Phase induction motors etc. A dataset of 887 pictures of size 640*640 pixels was collected from a recorded video of the laboratory and this collected dataset was used to train the model accordingly. The model gave an impressive output of about 93.8% mAP@50 on the given dataset indicating its excellent performance. As we have trained the model on augmented dataset so greyscale or exposed images from novel dataset are also incorporated. This is a foundational brick in a larger project for the incorporation of modern technologies such as AI, Computer vision for the development and prosperity of institutes as well as people. Authors of the papers can implement this model through the collaboration of the Ministry of Industries, Punjab Skill Development Authority (PSDA), Technical Education and Vocational training authority (TEVTA) and Deputy Commissioner Muzaffargarh (EX COO TEVTA).