Bus load monitoring system with image analysis using myRIO

This thesis aims to create a bus load monitoring system that will perform image analytics. It mainly proposes a solution in the current unsystematic operation of PUBs in the Philippines. Moreover, this thesis serves as a stepping stone to develop a better and more organize bus system where management of passenger flow is well-handled and passengers are assured of security and convenience. Assured security and convenience come from the cameras installation in the bus and an HTML page where the bus status/image analytics (e.g. number of seats available and occupied, number of people standing, and total number of passengers inside the bus) done is shown, which was transmitted to the headquarters by using a myRIO. Three cameras, one (1) for the computation of the number of passengers entered and exit the bus and two (2) for the computation of the total number of passengers seated, were used. There are also three people-counting algorithms created. Optical flow SubVI, FAST SubVI, and Blob Analysis SubVi. The integration of the three algorithms were chosen to perform the complete image analytics in which, it has an accuracy of 97.93%