Density Based Traffic Controllers with Cameras

This paper presents a novel algorithm for density based traffic controllers with camera by considering the vehicles count of lanes we can control the traffic. The lanes traffic is detected by using the camera. Objects detection is a task in computer vision widely used in detecting the one or more objects. 

The extracted lane information could be used in several smart applications for lane keeping systems, lane departure warning and avoiding collisions with other vehicles. FRCNN is used to find out the areas that might be an object by combining similar pixels and textures into several rectangular boxes.

 In the next step, the bounding boxes are created for detected vehicles and counted. In order to pass the vehicles, the information is sent by using timer that provides the information about which lane is to be moved. To display the timer an LED display is given to hardware kit. This proposed implementation is helpful to control the traffic based on the density.

Keywords: Camera, bounding box, FRCNN, vehicle counter.