Traffic Signal Violation Detection Through Computer Vision
Mohamed Yasir Mohamed Uvais, Vazeerudeen Abdul Hameed, Muhammad Ehsan Rana
Abstract
This research offers an advanced computer vision-based traffic signal violation detection. The suggested technology seeks to instantly detect and report traffic signal violations such as running red lights. The approach suggested in this research can precisely and effectively detect infractions by combining advanced computer vision algorithms with deep learning approaches. By improving overall traffic safety, the introduction of this approach is expected to have a substantial positive influence on people's ease. Law enforcement authorities are better able to respond quickly to risky driving practices, lowering the risk of accidents and enhancing traffic management, as a result of automated traffic infraction detection and reporting. The proposed solution’s real-time capabilities will make it less likely for drivers to disobey the law, encouraging better driving practices and reducing the likelihood of accidents.