Smart Traffic Control System Using Canny Edge Detection Algorithm by Image Processing
Smart Traffic Control System Using Canny Edge Detection Algorithm by Image Processing
Ms. CH .Vasundhara1, M. Kobitha2
1 Assistant Professor
2 MCA Final Semester, Master of Computer Applications, Sanketika Vidya Parishad Engineering College, Vishakhapatnam,
Andhra Pradesh, India
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ABSTRACT
As the problem of urban traffic congestion intensifies, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the art of traffic control. The current methods used such as timers or human control are proved to be inferior to alleviate this crisis. In this paper, a system to control the traffic by measuring the real time vehicle density using canny edge detection with digital image processing is proposed. This imposing traffic control system offers significant improvement in response time, vehicle management, automation, reliability and overall efficiency over the existing systems. Besides that, the complete technique from image acquisition to edge detection and finally green signal allotment using four sample images of different traffic conditions is illustrated with proper schematics and the final results are verified by hardware implementation.
Keywords: Smart Traffic Control System, Image Processing, Canny Edge Detection Algorithm, Digital Image Processing, Vehicle Density Detection, Traffic Signal Control, Real-Time Traffic Monitoring, Intelligent Transportation System (ITS), Edge Detection, Traffic Automation.