Density Based Smart Traffic Control System Using Canny Edge Detection Algorithm For Congregating Traffic Information

Abstract

Congestion in metropolitan areas is getting worse, therefore it's more important than ever to
use cutting-edge technology and equipment as soon as possible to improve traffic
management. Time-based or human-driven solutions have failed in the past. In this research,
a novel approach is provided for real-time traffic density measurement using cutting-edge
edge identification and digital picture processing. The reaction speed, vehicle management,
automation, dependability, and overall efficiency are all greatly improved by this cuttingedge traffic control system. Four example photos depicting different traffic circumstances are
used to illustrate the results of the hardware implementation, and the whole method is
illustrated with appropriate diagrams. This entails taking photos, finding edges, and giving
out the "go" indication.