Patents

Patent Granted: Intellectual Property Office, Government of India

Lead Inventor/Supervisor: Dr. Jerrin Thomas Panachakel

Collaborators: Dr. Anusha S P, Anoop K S, Adithya S Nair, and Ancy S A

Publication: Paper based on the patent entitled as, "Computer Vision based Adaptive Traffic Signalling for Improved Pedestrian Safety  at Zebra Crossings" has been accepted with publication in the World Conference on Transport Research (WCTR) to be held in France on July 2026 will be presented by Surya C K

Affiliation: Srinivasa Ramanujan Centre for Machine Intelligence (SRCMI), College of Engineering Trivandrum

Summary: This research addresses the critical challenge of pedestrian vulnerability at urban intersections through the development of an Intelligent Traffic Signaling System. Unlike conventional fixed-timer signals, this patented system utilizes AI-driven computer vision algorithms to monitor pedestrian presence and movement in real-time. By dynamically adapting signaling phases based on live visual data, the system ensures optimal crossing intervals, significantly reducing the risk of accidents for vulnerable road users.

Developed at the SRCMI Lab, the project integrates advanced image processing techniques with traffic control logic to create a responsive, safety-first infrastructure. This work underscores our commitment to leveraging machine intelligence for social good, transitioning theoretical computer vision research into a scalable, legally recognized solution for smart city safety.