MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641086312 A) filed by Mrs. N. Revathi; Dr. K. Rajanandhini; Dr. V. Seethalakshmi; Mrs. Nithya. L; Mr. M. Pravin Kumar; Mr. V. Nixon Joel; Mr. N. Mohammed; and Mr. P. Santhosh on July 14, 2026, for Behaviour Analytics And Predictive Safety System Using Machine Learning.
Inventors include Mrs. N. Revathi; Dr. K. Rajanandhini; Dr. V. Seethalakshmi; Mrs. Nithya. L; Mr. M. Pravin Kumar; Mr. V. Nixon Joel; Mr. N. Mohammed; and Mr. P. Santhosh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: This invention presents a behavioral analytics and predictive safety system using machine learning for real-time monitoring and emergency response. The system continuously collects data from sensors such as heart rate and vibration to monitor user activity and condition. Machine learning techniques are used to analyze behavioral patterns and detect abnormal situations. When a potential risk or emergency is identified, the system automatically triggers an alert. It retrieves the user’s location using GPnS aotificndatio sennsd s through a GSM module. Additionally, the system captures audio and visual data to provide supporting evidence. The system operates with low latency and minimal dependency on internet connectivity. It is designed to be reliable, scalable, and suitable for future wearable safety applications.
Disclaimer: Curated by HT Syndication.
