MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122352 A) filed by New Horizon College Of Engineering, Bangalore, Karnataka, on Dec. 5, 2025, for 'accident-prone zone detection using machine learning algorithm and safest path suggestion.'
Inventor(s) include Dr. Monika Gupta; Dr. Ishani Mishra; Mr. Darshan M; and Ashok K.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The disclosed " Accident-Prone Zone Detection and Safe Route Recommendation System" (108) is a smart, data-driven platform that figures out the most dangerous areas on the road and, by using machine learning and geospatial analysis, suggests the safest routes to avoid them. A Machine Learning Module (101) utilizes DBSCAN and K-Means clustering on Intel Grey Spot accident data, while a Random Forest Classifier (102) identifies severity levels, thus, producing a three-level risk classification. The Backend Layer (103), implemented with Node.js and MongoDB, keeps risk scores and cluster coordinates for quick access. The Frontend Layer (104), combined with Google Maps API (105), presents visually understandable risk areas through colors and safe route recommendations. The system is also very user-friendly as it keeps updating the user's position, sends out an alert when they are close to a risky area, and shows the safest route if the user wants to take an alternate path."
Disclaimer: Curated by HT Syndication.
