MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641080401 A) filed by Gilbert A. R; Anuja Das P M; Kripaja K Yadav; Abhijit Mukhopadhyay; Dr. Rinu Jose; Aswathi V R; Deepa Antony; Roslin Varghese; and Chinchu Rani Vincent on June 30, 2026, for Artificial Intelligence-Based Privacy-Preserving Classroom Monitoring And Intelligent Teaching Assistance System With Autonomous Session Authentication.
Inventors include Gilbert A. R; Anuja Das P M; Kripaja K Yadav; Abhijit Mukhopadhyay; Dr. Rinu Jose; Aswathi V R; Deepa Antony; Roslin Varghese; and Chinchu Rani Vincent.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT: Artificial Intelligence-Based Privacy-Preserving Classroom Monitoring and Intelligent Teaching Assistance System with Autonomous Session Authentication This invention describes an artificial intelligence-based classroom monitoring and teaching assistance system configured to automatically activate only during authenticated instructional sessions while preserving student privacy. The system authenticates classroom operation through multi-condition verification including scheduled timetable validation, teacher authentication, continuous instructional speech detection, and classroom occupancy confirmation prior to initiating analytical processing. Following activation, computer vision anonymously estimates classroom attention, participation, engagement, confusion, fatigue, note-taking behavior, teacher interaction, and collective behavioral patterns without performing permanent facial identification. A natural language processing engine analyzes instructional speech and student interactions to identify lesson topics, difficult concepts, recurring questions, and conceptual misunderstandings. Statistical analytics generate aggregate classroom performance indicators, historical learning trends, and predictive engagement metrics, while a recommendation engine produces context-sensitive teaching suggestions. Differentiated reports are delivered to teachers and administrators according to authorization levels. Automatic suspension during breaks, holidays, examinations, vacant classrooms, or loss of teacher authentication enhances operational privacy, reduces computational resource utilization, minimizes unnecessary monitoring, and improves institutional teaching effectiveness through privacy-preserving classroom intelligence.
Disclaimer: Curated by HT Syndication.
