Vehicle traffic monitoring using single camera and embedded systems

Abstract

Traffic congestion is a problem that often occurs in the big cities in Indonesia. It is caused by very rapid increase of vehicle. The offered solution is to monitor the traffic situation automatically. We implemented the method of detecting vehicle during night in four single board computers (SBC) that are: Raspberry Pi B+, Beagleboard Xm, Raspberry Pi 2 and Odroid XU4. Perfomance of Odroid XU4 exceed other single board computers in which the maximum fps obtained 30 frame per second(fps) and the maximum accuracy of vehicle detection reached 98 percent.