In urban areas, traffic congestion and emergency vehicle delays are major challenges. This project proposes a dynamic traffic light control system using a Logitech C270 HD Webcam and Raspberry Pi 4B to optimize traffic flow and provide priority to ambulances. The system employs computer vision (OpenCV) to detect traffic levels and emergency vehicles. If traffic congestion surpasses a predefined threshold, the signal switches to green, ensuring smoother traffic movement. Additionally, if an ambulance is detected, the system immediately turns the traffic signal green to provide an uninterrupted path. The integration of real-time image processing enhances traffic management, reduces delays, and prioritizes emergency response, making the system highly effective in reducing urban traffic congestion. This low-cost, AI-driven solution can be deployed at intersections to improve traffic efficiency and emergency response times.