MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049922 A) filed by Arulanantham D; and Kangeyam Institute Of Technology, Kangeyam, Tamil Nadu, on April 20, for 'aiot-powered traffic monitoring system.'

Inventor(s) include Dr. D. Arulanantham; Mr. Prakash M; Ms. Jayabratha S; Mr. Balasaravana G S; Mr. Jeevanandhan R; Mr. Santhosh N; and Mr. Venkataraman K J.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "AIoT-based adaptive traffic signal control system for efficient multi-lane traffic management. Conventional fixed-time signals do not consider real-time traffic conditions, leading to congestion and delays. The proposed system uses the YOLOv8 model for vehicle detection and ByteTrack for tracking across video frames. A centroid-based method classifies vehicles as moving or stationary to estimate traffic density. An adaptive algorithm dynamically assigns green signal time based on the number of moving vehicles within defined limits. Control commands are sent to an Arduino Uno via serial communication to operate traffic lights. The system architecture includes sensing, processing, decision, and control layers for real-time performance. Experimental results show a 50-67% reduction in waiting time, demonstrating improved efficiency over traditional systems. The solution is scalable, cost-effective, and suitable for smart traffic applications."

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