Continued advances in machine learning (ML) and deep learning (DL) present new
opportunities for use in a wide range of applications. One prominent application of these …

This study aims to develop novel automated computer vision algorithms and systems for
component replacement inspection for printed circuit boards (PCBs). The proposed …

Machine vision enhances automation, quality control, and operational efficiency in industrial
applications by enabling machines to interpret and act on visual data. While traditional …

This study develops an automatic defect detection system for polyvinyl chloride (PVC) profile
manufacturing, addressing inefficiencies in manual inspection. It compares the proposed …