MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202631085006 A) filed by Brainware University on July 10, 2026, for A Vision-Based Machine Learning System For Monitoring Screen Viewing Distance And Digital Wellness.
Inventors include Mr. Gourab Dutta; Dr. Rahul Kumar Ghosh; Mr. Amitava Podder; Ms. Snigdha Chatterjee; and Mr. Surath Roy.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: [053] The present invention relates to a vision-based machine learning system for monitoring screen viewing distance and digital wellness. The system comprises a camera for capturing real-time image frames of a user, a face detection module for detecting and tracking the user’s face, a distance estimation module for estimating a viewing distance between the user and a display screen from facial information, a threshold comparison module for comparing the estimated viewing distance with predetermined safe viewing thresholds, and an alert generation module for producing corrective alerts when the user is positioned too close to or too far from the display screen. The system further includes a screen-time monitoring module for tracking continuous screen usage and generating break reminders to reduce eye strain and fatigue. In one embodiment, a parental control module monitors access to predefined restricted digital resources and notifies an authorised supervisory user. The invention provides a non-invasive and cost-effective system for promoting eye health, posture awareness, and responsible digital usage. Accompanied Drawing [FIGS. 1-2]
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