MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641094733 A) filed by Dhanalakshmi Srinivasan College Of Engineering And Technology on August 05, 2026, for Ai-Powered Crime Patterns Forecasting And Suspect Prediction Framework.
Inventors include P. R. Ajitha; Vimalbalaji; Sathyajith; and S. Praveen.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: AI-Powered Crime Pattern Forecasting and Suspect Prediction Framework The present invention provides an Al-Powered Crime Pattern Forecasting and Suspect Prediction Framework for assisting law enforcement agencies in crime prevention, criminal investigation, and public safety management. The proposed system leverages advanced artificial intelligence, machine learning, deep learning, predictive analytics, natural language processing, and geospatial intelligence to analyze historical and real-time crime data collected from multiple sources, including First Information Reports (FIRs), criminal history databases, surveillance systems, forensic records, and geographic information systems. By continuously processing crime-related information, the framework identifies hidden crime patterns, detects crime hotspots, forecasts the likelihood of future criminal activities, and generates probabilitybased suspect predictions to support investigative decision-making. The method includes automated data preprocessing, crime pattern analysis, real-time crime monitoring, hotspot detection, suspect ranking, and intelligent decision support through an interactive analytical dashboard. Additionally, the framework continuously improves prediction accuracy using adaptive learning techniques and feedback from completed investigations, enabling proactive policing, optimized law enforcement resource deployment, reduced investigation time, and enhanced public safety. The invention provides an intelligent, scalable, and data-driven solution for modern crime analysis and predictive policing, thereby improving investigation efficiency, crime prevention strategies, and overall operational effectiveness of law enforcement agencies.
Disclaimer: Curated by HT Syndication.
