A robotic model approach of an automated traffic violation detection system with apprehension

• Main Authors: Bedruz, Rhen Anjerome, Uy, Aaron Christian P., Quiros, Ana Riza, Billones, Robert Kerwin, Sybingco, Edwin, Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Traffic violations; Intelligent sensors; Robotics; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1843; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2842/type/native/viewcontent
• Institution: De La Salle University

This study suggests a robotic model approach to create a sample traffic violation detection system with apprehension scenario before such system can be implemented in a real road. The model used two robots, one for the moving object which will be detected by the camera and one for the robot that will follow the moving object if its speed reaches a certain limit. The captured images from the camera were fed to an algorithm which detects the centroid of the moving object to track its speed, thereby deciding if it is moving beyond the reference speed. The result of this algorithm was fed to the tracker robot, which then mobilizes and follows the moving object when the moving object exceeds the speed limit. © 2018 IEEE.