MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511126648 A) filed by Swami Rama Himalayan University, Dehradun, Uttarakhand, on Dec. 15, 2025, for 'ai-based intelligent crowd management system for temples and pilgrimage sites.'
Inventor(s) include Ankit Ramola; Mukesh Gupta; Shivani Nautiyal; Mukul Dimri; Megha; Aradhya Sharma; and Shiv Preet.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-based Intelligent Crowd Management System specifically designed for temples and pilgrimage sites, integrating AI-enabled computer vision, IoT sensor networks, and predictive analytics for real-time monitoring and control of large crowds. The system continuously acquires multi-modal data, including video streams, environmental parameters, and motion sensing, and processes it using deep learning and machine learning models to determine crowd density, flow direction, and potential congestion zones. A centralized command dashboard provides live heatmaps, color-coded alerts, and automated recommendations, enabling timely interventions such as rerouting visitors, opening alternate gates, and deploying additional staff. The invention ensures culturally sensitive operations, maintains sanctity, and facilitates proactive crowd management while improving safety, visitor experience, and operational efficiency, representing a significant advancement over conventional manual or CCTV-based monitoring systems."
Disclaimer: Curated by HT Syndication.
