MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621049796 A) filed by Acropolis Institute Of Technology And Research, Indore, Madhya Pradesh, on April 19, for 'ai-enabled automated vehicle entry and exit management system for educational institutions using anpr and intelligent analytics.'
Inventor(s) include Kamal Kumar Sethi; Narendra Pal Singh Rathore; and Ronak Jain.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an intelligent, automated access control system for managing vehicular and pedestrian entry and exit in campus environments. The system integrates Automatic Number Plate Recognition, computer vision, and machine learning to identify vehicles and associate them with user identities, roles, and institutional attributes through a centralized database. A policy enforcement engine dynamically regulates access and controls gate operations based on authentication results. The system further incorporates data fusion techniques to combine temporal, spatial, and identity data, enabling real time monitoring and analytics. Behavioural analysis models detect anomalies, predict unusual patterns, and generate alerts for security intervention. The invention records timestamped entry exit events, computes movement frequency, and produces actionable reports for administrative decision making. The architecture supports scalable deployment across multiple gates using edge, cloud, or hybrid configurations, thereby enhancing security, reducing manual intervention, and ensuring efficient traffic flow within controlled environments in large institutional settings effectively."
Disclaimer: Curated by HT Syndication.
