Traffic congestion is a major problem. Signal timings in the current system are set and unaffected by traffic density. Traffic congestion is a result of significant red light delays. Signal timings in this proposed IoT-based traffic control system are changed in response to vehicle counts. The Sigsbee transceiver module in this system communicates the current system’s vehicle count to the subsequent traffic signal. It regulates the signals of the subsequent signal based on the traffic density of the preceding signal. Because they are given equal precedence over other vehicles, emergency vehicles including police cars, fire engines, and ambulances become trapped in this traffic jam. This research proposes a priority-based vehicle detection system based on image processing techniques. In the event that an emergency vehicle is spotted on the road, its lane will be prioritized over all others. In order to determine if a vehicle is an emergency or not, the study suggests Support Vector Machine (SVM) algorithm.