Intellectual Property India Publishes Patent Application for An Ai-Driven Safety Aware Navigation Web Application With Real-Time Risk Prediction And Intelligent

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641054425 A) filed by The Principal, Sns College Of Technology on April 29, 2026, for An Ai-Driven Safety Aware Navigation Web Application With Real-Time Risk Prediction And Intelligent.

Inventors include Dr. M. Sudha; Dr. K. Sangeetha; Dr. B. Vinodhini; Dr. A. Sumithra; Dr. M. Shobana; Dr. S. R. Janani; A. Indhuja; G. Ramesh Kalyan; M. Lavanya; S. Ragavi Priya; Anushree. R; Jai Santhosh R; Kanmani. V; and Hari Shankar. S.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: The present invention relates to an Al -Driven Safety-Aware Navigation Web Application comprising a user access interface (100), a user authentication system (110), a user profile manager (120), a location input interface (200), a GPS tracking engine (210), an artificial intelligence analysis layer (300), a high-risk zone identification engine (330), a routing layer (400), and a user interaction interface (500). Location data capturing user travel information is entered through the user interface and processed through a real-time tracking and geospatial analysis pipeline. A geospatial analysis module (310) identifies and analyses spatial regions based on historical crime data, while a risk prediction engine (320) evaluates location-based risk using machine learning techniques. A risk assessment module (322) determines safety levels across route segments, while a safety scoring module (324) generates numerical representations of route safety. Outputs from the safety analysis modules are synthesized by a high-risk zone identification engine (330) to identify unsafe areas along the route. A routing layer (400) comprising a safe route generator (410) and a path optimization engine (420) generates optimized safer navigation routes based on risk-weighted calculations. The generated routes and safety insights are presented through a user interaction interface (500), which provides real-time navigation guidance and safety alerts, and stored within a system history database (600) to support continuous monitoring and system improvement.

Disclaimer: Curated by HT Syndication.