MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202621090883 A) filed by Symbiosis International Deemed University on July 25, 2026, for Integrated Ai-Based Computer Vision System For Real-Time Worker Safety And Productivity Monitoring.
Inventors include Mrunal Kale; Nandini Taneja; Mehuli Majumder; Ishita Yadav; Dr Sameer Sayyad; Dr. Javed Sayyad; and Dr. Arunkumar M Bongale.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: ABSTRACT INTEGRATED AI-BASED COMPUTER VISION SYSTEM FOR REAL-TIME WORKER SAFETY AND PRODUCTIVITY MONITORING An integrated AI-based computer vision system (100) for real-time worker safety and productivity monitoring in industrial environments is disclosed. The system (100) employs a two-stage object detection module (130) wherein workers are first detected using a pretrained model and PPE items are subsequently detected within localized worker regions using a custom-trained model with context-aware keypoint-based verification. A multi-object tracking module (140) and worker identification module (150) provide persistent worker identities through facial embedding matching. A pose estimation and activity analysis module (160) detects fall events through dual-keypoint verification and estimates productivity through workstation-specific activity monitoring. A vision-based geofencing module (170) monitors restricted zones using ankle keypoint-based foot position tracking. A rule-based decision engine (180) generates automated voice alerts and computes gamified safety and productivity scores displayed through a web-based analytics dashboard (190). [
Disclaimer: Curated by HT Syndication.
