MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611058883 A) filed by Krishna Institute Of Engineering & Technology Kiet on May 08, 2026, for “-Rteaimle Traffic Congestion Control Using Computer Vision Techniq Ues”.
Inventors include Aditi Nim; Priyanka Behera; Priyanshu Upadhyay; Rajat Rai; and Vivek Kumar Sharma.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Abstract of the Invention The present invention relates to a real-time traffic congestion control system using computer vision techniques. The system integrates cameras, sensors, and IoT devices to capture live traffic data, which is processed using deep learning models such as YOLO for vehicle detection and tracking. Homography and metadata extraction techniques are used to determine vehicle position, speed, and density for congestion analysis. An AI-based decision engine dynamically generates traffic control actions including route optimization, traffic signal adjustment, and real-time alerts to vehicles and authorities. The system improves traffic flow, reduces congestion, fuel consumption, and emissions while enhancing road safety. It provides a scalable, intelligent solution for smart city traffic management and data-driven urban mobility planning.
Disclaimer: Curated by HT Syndication.
