The document describes a proposed smart traffic monitoring system that uses image processing and a Raspberry Pi microcontroller to automatically adjust traffic light timing based on detected traffic density. Video is captured of intersections and processed to detect vehicles and determine traffic density on each road. The number of vehicles is then used to calculate the optimal traffic light timing, with longer green lights allocated to heavier traffic. This provides an adaptive system that is more efficient than fixed-time traffic lights that cannot adjust to changing traffic conditions.