MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641083367 A) filed by Rajalakshmi Engineering College on July 07, 2026, for An Intelligent Iot-Enabled Pressure-Sensitive Flooring System With Ai-Based Gait Recognition For Ant.
Inventor includes Dr. P, Kumar, Ms. Divyashree S And Ms, I Larini S.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to an loT-based Anti-Theft Flooring Mat with Al-driven ^gait recognition, designed to provide an intelligent, passive, and privacy- preserving security solution. The system comprises a flooring mat embedded with an array of pressure sensors for capturing dynamic footstep data, an embedded processing unit for signal conditioning and feature extraction, an artificial intelligence-based gait recognition module, and an loT communication interface for real-time monitoring and alerting. When an individual walks across the flooring mat, the pressure sensoFTirray "captures spafial“and temporal pressure patterns corresponding to the person’s gait. These signals are preprocessed to extract distinctive gait features such as stride length, step duration, cadence, and pressure distribution. During an enrollment phase, gait profiles of authorized individuals are learned using machine learning or deep learning models. In real-time operation, live gait data is continuously compared with stored profiles to distinguish authorized users from unauthorized or anomalous individuals. Upon detection of unauthorized access, the system automatically triggers security responses including alarm activation, access control enforcement, and alert notifications to authorized personnel through loT- enabled interfaces. The invention operates without requiring wearable devices, access cards, or visual surveillance, thereby ensuring user privacy. The proposed system is suitable for deployment in residential, commercial, industrial, and critical infrastructure environments, offering enhanced accuracy, reduced false alarms, and scalable anti-theft protection
Disclaimer: Curated by HT Syndication.
