• VAIBHAV A. SURYAWANSHI
• SARTHAK B. SHAH
• SAGAR B. POKHARKAR

In this project, a novel real-time traffic control system which can easily keep traffic in control using image processing techniques is presented. In this method, a webcam is used in each stage of the traffic light in order to take pictures of the roads where traffic is bound to occur. Count of vehicles in these images is calculated using image processing tools in “open cv” and different timings are allocated according to the count along with a green signal for vehicles to pass. The images capture by the camera is converted into the grey image and then it is given to the raspberry pie , where it analyze the image and decides whether the traffic density is high or not and according to this the timer of the signal is decided. In this project we have used the prototype like the green and red signals are represented using LEDs and the decrementing timer for the green sign.

"DENSITY BASED TRAFFIC CONTROL SYSTEM USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.f312-f317, September-2022, Available :http://www.jetir.org/papers/JETIR2209563.pdf

"DENSITY BASED TRAFFIC CONTROL SYSTEM USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppf312-f317, September-2022, Available at : http://www.jetir.org/papers/JETIR2209563.pdf