MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611060245 A) filed by Manipal University Jaipur on May 12, 2026, for An Edge-Based Industrial Worker Safety System Using Behavioral Machine Learning And Multi-Sensor Fusion For Predictive Accident Prevention.
Inventor includes Dr. Arpita Baronia.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a digital industrial safety system for predictive accident prevention. The system comprises a multi- sensor module including accelerometers, vibration sensors, ultrasonic sensors, gas sensors, temperature and humidity sensors, and sound sensors for acquiring real-time data; an edge processing unit comprising a microcontroller or edge AI processor executing embedded machine learning models including TinyML; a behavior learning module generating personalized behavioral profiles based on historical data; a sensor fusion engine integrating multi-modal inputs to generate unified feature vectors; an anomaly detection module identifying unsafe behavior including fatigue, prolonged inactivity, and hazardous proximity, and predicting accident likelihood; and an alert interface providing audio-visual alerts and wireless notifications, wherein the system operates with an edge inference latency of less than 100 milliseconds.
Disclaimer: Curated by HT Syndication.
