AI 260 - Computer Vision in Control Systems

5 CR

Previously ROBAI 260.
Introduction to computer vision, including the fundamentals of sensing and perception, image formation and representation, image analysis, pattern recognition and representation, motion analysis, and object and scene recognition. Students use equipment to build simple vision systems and apply these systems to controlling robot behavior and motion.

Prerequisite(s): ROBAI 240 or AI 240 with a C or higher, or permission of the instructor.

Course Outcomes

Apply the basic concepts, technologies, and strategies for computer and robot vision
Research and analyze the challenges and limitations of various approaches to computer and machine vision
Apply the basic principles of Image formation, representation, analysis, and pattern recognition and classification
Apply the basic principles of object and scene reconstruction, and motion analysis
Design, develop and test control systems for robotics applications based on machine vision

Find out when this course is offered