This course falls into the category of ’guided design’. The students will be guided through the design and implementation, in digital hardware, of a complex computer vision system. The course covers the application specific theory as well as the application specific implementation issues for a specific computer vision system. The specific computer vision system that is designed in this course will change from time to time as necessary to maintain relevancy. The current design problem is a parking lot license plate recognition system. The students will be guided through the design of the system, design of one or more circuits suitable for detection and segmentation of the license plate, design of one or more circuits suitable for license plate character extraction and normalization, and design of one or more circuits suitable for license plate character recognition. Weekly hours: 3 Lecture hours and 3 Practicum/Lab hoursPrerequisite(s): EE 467.
This course falls into the category of ’guided design’. The students will be guided through the design and implementation, in digital hardware, of a complex computer vision system. The course covers the application specific theory as well as the application specific implementation issues for a specific computer vision system. The specific computer vision system that is designed in this course will change from time to time as necessary to maintain relevancy. The current design problem is a parking lot license plate recognition system. The students will be guided through the design of the system, design of one or more circuits suitable for detection and segmentation of the license plate, design of one or more circuits suitable for license plate character extraction and normalization, and design of one or more circuits suitable for license plate character recognition. Weekly hours: 3 Lecture hours and 3 Practicum/Lab hoursPrerequisite(s): EE 467.
