MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611022744 A) filed by Abes Engineering College, Ghaziabad, Uttar Pradesh, on Feb. 26, for 'system for machine learning-based home safety assurance and confidence generation.'
Inventor(s) include Monica; Dr. Shweta Kaushik; and Ms. Shalini Singh.
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 relates to a machine learning-based home safety assurance and confidence generation system. The system integrates sensor data from household safety devices with contextual user information to learn individualized safety routines. By analyzing deviations from learned behavior, the system predicts forgotten safety actions before hazardous conditions arise. A confidence generation engine produces human-readable confirmation or advisory messages to reassure users or prompt corrective action. Unlike conventional rule-based monitoring systems, the invention provides predictive, personalized, and context-aware safety assurance, thereby reducing anxiety, cognitive fatigue, and repetitive checking behavior. The invention is applicable to residential and institutional environments requiring intelligent safety verification and user confidence enhancement."
Disclaimer: Curated by HT Syndication.
