Key facts about Graduate Certificate in Computer Vision for Transportation
A Graduate Certificate in Computer Vision for Transportation is designed to equip students with the necessary skills and knowledge to develop computer vision solutions for transportation systems. Students will learn how to apply computer vision algorithms to analyze and interpret data from various sensors such as cameras and LiDAR.
The duration of the program typically ranges from 6 months to 1 year, depending on the institution offering the certificate. The curriculum may include courses on image processing, machine learning, deep learning, and computer vision applications in transportation.
Upon completion of the program, students can expect to have a solid understanding of computer vision techniques and their applications in transportation. Graduates will be prepared to work in industries such as autonomous vehicles, traffic management, and smart transportation systems.