Traffic congestion remains a critical issue in urban environments, driven by the increasing number of vehicles and limited road expansion. This paper proposes a novel traffic control system that utilizes image processing to monitor and manage traffic flow, coupled with Bluetooth technology to prioritize emergency vehicles. Cameras deployed at critical points capture continuous traffic images, processed to identify and track vehicle movements. This data is used to dynamically adjust traffic signal timings, optimizing flow and reducing congestion. For emergency vehicles, the system uses Bluetooth signals to detect their presence, automatically clearing their path by adjusting traffic lights. This approach ensures that emergency services can navigate through traffic more efficiently, reducing response times. The proposed system is designed to integrate seamlessly with existing traffic infrastructure, offering a scalable and efficient solution to urban traffic management and emergency response.