Intelligent process monitoring system for manufacturing defect detection

This nugget is a comprehensive exploration of machine vision-based inspection systems equipped with intelligent decision-making capabilities, emphasizing their practical suitability for industrial applications. It covers three fundamental learning outcomes: First, it provides students with mastery of process monitoring principles applied to manufacturing processes. Students gain in-depth knowledge of the fundamental principles, tools, and techniques essential to effectively monitor and control various facets of manufacturing operations.Secondly, the nugget delves into the notions of image acquisition and processing. Participants develop a deep understanding of how to capture and manipulate images, with a focus on their application in critical areas such as quality control, inspection and automation.Lastly, the program equips graduates with an in-depth understanding of machine learning-based decision making. This includes the ability to explain the concepts and methodologies used to make data-driven decisions in the production domain, emphasizing the fundamental role of machine learning and artificial intelligence in improving processes and achieving superior results.Throughout the nugget, a case study is presented, offering practical insights into the real-world applications of machine vision-based inspection systems. By completing this comprehensive program, participants will be well-prepared to harness the power of machine vision and intelligent decision-making to improve manufacturing processes, enhance quality control, and drive efficiency in industrial environments.