MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611024892 A) filed by Iklavya India Tech Private Limited, Greater Noida, Uttar Pradesh, on March 2, for 'ai-based system and method for real-time classroom attentiveness and alertness scoring.'
Inventor(s) include Aditya Tripathi.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-based system and method for real-time classroom attentiveness and alertness scoring operating through an integrated hardware-software architecture. The system comprises at least one camera unit (110) configured to capture classroom video, a processing unit (120) executing an AI analytics engine (130) for extracting behavioral features including head pose, gaze characteristics, posture alignment, and micro-movement patterns, and an alertness scoring module (135) configured to compute a standardized alertness score. Extracted data are stored in a database (140) and presented through a dashboard interface (150). The system generates an attentiveness state vector and classifies subjects into predefined attentiveness categories followed by temporal score aggregation. The invention provides a technical solution for automated, objective, and scalable monitoring of classroom engagement through coordinated operation of imaging hardware, processing circuitry, and machine-learning models, thereby achieving reduced latency, improved behavioral analytics accuracy, and enhanced real-time performance suitable for educational environments."
Disclaimer: Curated by HT Syndication.
