Bus load monitoring system with image analytics using MyRIO

• Main Authors: Arante, Hero Rafael C., Lopez, Alyanna B., Santos, Michael Andre Jose P., Sybingco, Edwin, Dadios, Elmer P., MacAdaeg, Aurenilo
• Format: text
• Published: Animo Repository 2019
• Subjects: Bus occupants > Philippines; Transportation > Philippines; Image data mining; Electronics in transportation; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2412; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3411/type/native/viewcontent
• Institution: De La Salle University

This research aims to develop a bus load monitoring system that can perform image analytics. It proposes a solution in the current unsystematic operation of PUBs in the Philippines. Moreover, it serves as a stepping stone to develop a better and more organized bus system where management of passenger flow is well-handle and passengers are assured of security and convenience. Security system and passenger convenience are achieved with the use of cameras installed in the bus and web-based system is created to display information about the bus status. Bus status are updated using image analytics. Information such as number of seats available, seat occupied, number of people standing, total number of passengers inside the bus are displayed on the web-based monitoring system. The system is designed by using eleven cameras, one for the computation of the number of passengers entering/exiting the bus, ten cameras for the determination of the passenger seated and standing. The image analytics computations such as optical flow, FAST, and blob analysis were implemented using myRIO. The algorithm was able to achieve an accuracy of 97.3%. © 2018 IEEE.