Improved Centroid-based Object Detection and Tracking System for Automated Manufacturing Line

IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings 2022
Rimants Jeļinsks, Mihails Gorobecs

In this paper a centroid-based object system has been developed and implemented in manufacturing process for the purpose of object fault recognition, tracking and counting manufactured products passing on conveyer belt. This kind of addition of a subsystem for the manufacturing operation gives a possibility to evaluate product quality, calculate efficiency of the process and time it has been done in.

Keywords
Computer Vision, Object detection, Object tracking, Automated Manufacture
DOI
10.1109/RTUCON56726.2022.9978844
Hyperlink
https://ieeexplore.ieee.org/document/9978844

Jeļinsks, R., Gorobecs, M. Improved Centroid-based Object Detection and Tracking System for Automated Manufacturing Line. In: IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings, Latvia, Riga, 10-12 October, 2022. Piscataway: IEEE, 2022, pp.357-361. ISBN 978-1-6654-6559-5. e-ISBN 978-1-6654-6558-8. Available from: doi:10.1109/RTUCON56726.2022.9978844

Publication language
English (en)