Traffic control system is one of the major problematic issues in the current situation. Such scenarios, every signal is getting 60 seconds of timing on the road at a regular interval, even when traffic on that particular road is not dense. An automated Pi based traffic control system using webcams and sensors that help in reducing traffic density in busy traffic junctions. The design of this traffic infrastructure can help in avoiding traffic congestions. This project describes a system where web cams are integrated with Raspberry Pi to operate the lanes of traffic junction based on the density of the traffic and RFID sensors for emergency vehicles to be prioritized for safety of passengers. In this model we are using image processing techniques like background subtraction and filtering by contours, Haar cascades. As a result, the improvement in traffic system can be exponentially improved, which can lead to progressive in the overall traffic system. The image processing techniques are very helpful in detecting vehicles rather than vintage techniques like sensor density calculation, so we approached to this method.