Real-Time Detection and Alert System for Wrong-Side Driving: A Machine Learning Approach

Expressways and major highway routes are the most dangerous due to car accidents on the wrong side, which is common in India and other densely populated countries, leading to head-on crashes and fatalities. However, advances in computer vision, artificial intelligence, and machine learning are happening every day. With the help of this cutting-edge technology, it can efficiently manage, control, and save human life while punishing those who disobey the law or are negligent. In this research, we proposed a predefined machine learning approach in computer vision object detection using Ultralytics yolov8n.pt and license.pt model, a tracking using SORT algorithm, and SMS alert using SMTP. This approach can be monitor major highways and expressways 24/7 for instances of wrong-way driving and notify the monitoring committee and drivers involved.