MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511112672 A) filed by Kiet Group Of Institutions, Ghaziabad, Uttar Pradesh, on Nov. 17, 2025, for 'ai and machine learning-enabled railway surveillance system for automated security, crowd, and operational management.'
Inventor(s) include Aarohi Saxena; and Dr. Raj Kumar.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI and machine learning-enabled railway surveillance system designed to automate security monitoring, crowd management, and operational oversight within railway stations. The system continuously processes real-time CCTV video feeds using deep learning algorithms, such as ResNet50, and computer vision tools like OpenCV, to detect anomalous behaviors, unattended baggage, overcrowding, and deviations in staff performance. Upon detection, the system generates real-time alerts, extracts relevant video clips, and provides actionable insights via an interactive dashboard. The invention enables proactive security management, predictive crowd control, and automated operational compliance, thereby enhancing passenger safety, operational efficiency, and station management. The system is scalable, modular, and capable of integration across multiple railway stations and public transport hubs."
Disclaimer: Curated by HT Syndication.
