MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641041627 A) filed by Rvs College Of Engineering And Technology, Coimbatore, Tamil Nadu, on April 1, for 'a system and method for traffic accident detection using edge ai and iot sensors.'
Inventor(s) include Venkateswaran V; Dr. Suganthi B; Shanmuga Priya K; Kalaivani R; Subitha S; Sumitha S; and Sneha R.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A system and method for monitoring and detecting traffic accidents using edge artificial intelligence and roadside IoT sensors is disclosed. The system includes distributed roadside sensor nodes configured to collect vibration, acoustic, and motion data associated with traffic activity. Sensor data is transmitted to an edge processing unit that analyzes the signals using machine learning algorithms trained to identify patterns indicative of accident events. Local edge processing enables rapid detection without reliance on remote cloud systems. When an accident is detected, an alert generation module automatically sends notifications to emergency response services and traffic management authorities. The system improves road safety by enabling faster incident detection and response, reducing delays in emergency assistance. The invention provides a scalable monitoring framework capable of continuously analyzing road conditions and identifying traffic accidents in real time."
Disclaimer: Curated by HT Syndication.
