Development of Program for Red Light Running Violation and Helmet Wearing Using Cctv Camera
The objective of this research is to develop a computer program for detecting traffic red light violation and helmet wearing of motorcyclists using CCTV camera in order to improve law enforcement. The developed program uses video recorded by wide-angle CCTV camera and monitor red light signal. Any vehicles found beyond stop line when red light is detected will activate image capturing process to take images from zoomed CCTV camera. The program is developed using C++ language with OpenCV library for image processing and MySQL for managing the database of captured images. In addition to red light violation detection, the program also helps enforcing helmet wearing on motorcyclists. This is done by using the program to manually review and take snapshot images of recorded video from wide-angle CCTV when motorcyclists without helmet are found. The results show that the program can detect 85% of red light violation cases from various vehicle types during daytime and nighttime. The validation results reveal that the program has 96.3% accuracy. Detection of motorcyclist without helmet is also validated and yields accuracy of 96.3%.
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