This course offers an introductory exploration into Machine Vision, a critical field at the intersection of computer vision and artificial intelligence. Participants will delve into the foundations of machine vision, understanding its key components, including image acquisition, pre-processing, feature extraction, and pattern recognition. The course covers machine vision algorithms, including 3D vision and depth perception, and examines its applications in various sectors such as manufacturing and healthcare. Additionally, ethical considerations in machine vision and emerging challenges and future trends in the field are discussed.

Who This Course Is For:

This course is designed for students, researchers, engineers, and professionals interested in gaining foundational knowledge in machine vision. It is suitable for individuals seeking to understand the principles, techniques, and applications of machine vision in diverse industries. Whether you are new to the field or looking to expand your expertise in computer vision and artificial intelligence, this course provides an essential introduction to machine vision concepts and practices.