Researchers have shown, that the rate of traffic lights violations and thus related accidents can be significantly reduced by introducing autonomous red-light cameras to crossroads. The main topic of this work, is autonomous traffic control system for intersections, based on computer vision, that can detect change in traffic lights, without any signals from traffic lights controller and can identify a red light runner. That triggers the system to record and save the footage of the event for later inspection.
Emphases of the project is to create a compact, easy to install system, that upgrades on the now existing systems, that need modifications of road surfaces and traffic lights controllers. Solution is made with a common security camera AXIS P1357 and microcomputer Raspberry Pi 2, in Python whit the use of OpenCV library. As a part of this work I discuss challenges and solutions, to the problems I encountered and I give a few suggestions as to what could be done better. The main thread of this work was to create a solution for traffic control with the equipment found in the laboratory.