Track: IoT

Abstract

One of the supporting aspects of Electronic Traffic Law Enforcement (ETLE) is the detection of traffic light status. This detection is used to determine whether someone driving a vehicle violates a traffic light or not. There are several ways to find out the status of the traffic lights that can be done, including what is often done is to install a system embedded in the traffic light system and then send a message to the traffic light status ETLE system from time to time. In this study, the status of the traffic lights is obtained by analyzing a still image from closed-circuit television (CCTV) using OpenCV and then comparing the Average Pixels Values (APV’s) in some area to get a conclusion about whether the traffic lights are in a certain color condition. In experiments conducted this method can detect the status of traffic lights with an accuracy of more than 99%.