MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541086962 A) filed by Nri Institute Of Technology; Dr. V. Teju; Dr. Krishna Prakash; Dr. B. Dasaradha Ram; Dr. S. Chandra Sekhar; Gudipati Sri Sai Sindhu; and A. Harshitha, Vijayawada, Andhra Pradesh, on Sept. 12, 2025, for 'system and method for real-time crime detection and prediction using machine learning.'
Inventor(s) include Dr. V. Teju; Dr. Krishna Prakash; Dr. B. Dasaradha Ram; Dr. S. Chandra Sekhar; Gudipati Sri Sai Sindhu; and A. Harshitha.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system and method for real-time detection and prediction of criminal activity using machine learning techniques applied to multimodal data. The system integrates inputs from CCTV video feeds, emergency call audio, police records, social media texts, and structured crime datasets through a data acquisition and preprocessing engine. A feature extraction module derives facial traits, gestures, voice stress patterns, textual sentiment, and spatiotemporal attributes. These features are analyzed by a machine learning engine employing supervised algorithms for classifying known crime types and unsupervised models for detecting anomalies and emerging threats. A real-time monitoring subsystem continuously compares live data with predictive models to trigger alerts, while a visualization interface generates heat maps, risk dashboards, and suspect trajectories. The invention enables proactive policing by forecasting crime-prone zones, reducing response times, and supporting resource allocation. Ethical safeguards ensure fairness, security, and compliance in law enforcement applications."
Disclaimer: Curated by HT Syndication.
