Development of a Traffic Speed Limit Sign Detection System Based on Yolov4 Network

Authors : Semih Selçuk, Sefa Beker, Ömer Faruk Boyraz

Pages : 66-75

Doi:10.54569/aair.1184569

View : 86 | Download : 113

Publication Date : 2023-10-29

Article Type : Research Paper

Abstract :Recent developments in artificial intelligence technologies have accelerated the transition to smart systems in the automotive industry. By anticipating driving conditions, these technologies enable the prevention of driver-related errors and accidents as well as the provision of crucial information to the driver. In this study, an artificial intelligence-based system is designed to provide information to drivers about speed signs on the road in order to support traffic safety. In this system, Yolov4 model is used to achieve high speed and accuracy levels. After the model training, the model was validated and the test results were found to be 98%.
Keywords : Speed Limit Sign, Object Detection, Deep Learning, YoloV4, Jetson Nano