MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085850 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering Technology on July 13, 2026, for System And Method For Real-Time Crime Hotspot Prediction And Geographic Risk Visualization.
Inventors include G. Laxmi Deepthi; K. Hari Priya; and Dr. P. Bharath Kumar Chowdary.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention introduces Crime Insights, an intelligent web-based system that aggregates real-time crime data from diverse online sources through web scraping and applies advanced machine learning models, including Artificial Neural Networks and LSTM, to predict crime hotspots, types, and severity levels. By analyzing historical patterns alongside current trends, the system generates interactive, color-coded risk maps and provides location-specific safety recommendations for both tourists and local authorities. This proactive approach transforms static crime reporting into dynamic, actionable intelligence, enabling users to avoid high-risk areas and helping law enforcement optimize resource allocation. Built with a user-friendly interface and scalable architecture, the platform supports real-time alerts, geospatial visualization, and data-driven decision-making, significantly enhancing urban safety and community awareness in a cost-effective and accessible manner.
Disclaimer: Curated by HT Syndication.
