MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123234 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 6, 2025, for 'ai-driven adaptive traffic signal management system.'
Inventor(s) include A Anny Leema; P Balakrishnan; Amlan Srivastava; and Wagh Girish Ashok.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides an AI-driven adaptive traffic signal management system for real-time congestion reduction at urban intersections. The system comprises traffic cameras positioned at intersections to capture real-time video feeds, a video processing unit configured to process video frames using a YOLO-based deep learning model to detect and classify vehicles into categories including cars, buses, trucks, motorcycles, and rickshaws, a traffic pattern analysis module configured to analyze detected vehicle data to determine traffic density and congestion levels, and a signal optimization engine configured to dynamically adjust traffic signal timing based on congestion levels. The system includes Deep SORT tracking algorithm integrated with the YOLO model, edge computing devices for local processing with reduced latency, cloud infrastructure for data storage and model training, and a user interface dashboard providing traffic authorities with real-time visualization and manual override capabilities."
Disclaimer: Curated by HT Syndication.
