MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024842 A) filed by Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, on March 2, for 'a method, a wearable helmet device and a system for predictive risk modeling and autonomous emergency response to prevent accidental damage using internet of things (iot) and artificial intelligence.'
Inventor(s) include Reena Singh; Ujjwal Mishra; and Sunny Gaur.
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: "The present invention discloses a predictive Internet of Things (IoT) and Artificial Intelligence (AI) enabled smart helmet system configured to prevent accidental damage and enhance two-wheeler rider safety. The system comprises a wearable smart helmet integrated with multi-modal sensors including motion, impact, rotational acceleration, environmental, alcohol detection, and geo-location modules. Real-time riding data is processed using an AI-based predictive risk modeling unit configured to compute a Dynamic Risk Probability Index (DRPI) that differentiates safe riding behavior from hazardous instability conditions, imminent collision probability, and confirmed impact events. Based on severity classification, the system generates tiered alerts ranging from preventive advisory notifications to automatic emergency SOS escalation. The helmet communicates securely with mobile devices, cloud servers, and emergency services through encrypted IoT networks. Adaptive baseline calibration, federated learning, and multi-sensor fusion enhance predictive accuracy. The invention provides proactive accident prevention, intelligent emergency response, and continuous safety monitoring for improved road safety outcomes."
Disclaimer: Curated by HT Syndication.
