Artificial Intelligence-Assisted Driver Alert System

Artificial intelligence-supported systems can play a key role in preventing accidents by minimizing human errors in critical areas such as traffic safety. This study aims to develop an artificial intelligence-supported driver monitoring and alert system to prevent distraction while driving and reduce traffic accidents. The developed system has a structure that works on the Nvidia Jetson Nano platform and uses object detection technology with the YOLOv4-tiny model. Through visual and aural alerts, the system helps the driver refocus his attention on the road by identifying distracting behaviors like using mobile devices. The accuracy rate obtained in the tests performed is at an acceptable level. The developed system can appeal to both fleet managers and individual drivers due to its low cost. Road safety, as well as the safety of drivers and passengers, can be improved by lowering the likelihood of accidents.