ROBAI 412 - Image Processing and Computer Vision

5.0 Credits
Students will learn the foundational theories and practical skills necessary to develop systems capable of interpreting visual data. Students will gain experience in image acquisition, preprocessing, feature extraction, object recognition, and advanced vision-based decision-making strategies. Students will explore real-world applications and understand the challenges and ethical considerations associated with deploying vision technologies. Completion of ROBAI 340 and ITAD 415 with a 2.0 or greater.
Prerequisite Admittance to the Robotics and Artificial Intelligence Program is required to take this course.
Course-level Learning Objectives (CLOs)
Upon successful completion of this course, students will be able to:

Apply essential image processing techniques.
Implement feature extraction methods to effectively identify and utilize image features in robotic systems.
Develop computer vision algorithms capable of processing and interpreting visual data for autonomous robotic tasks.
Integrate and test basic vision systems with robotic platforms, synchronizing visual data with sensor inputs to achieve precise robotic responses.
Research and analyze current technology trends in computer and robot vision systems.

Course Typically Offered
Winter