MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202621026397 A) filed by Prof. Shraddha Mankar; Prof. Prajakta Dandavate; Omkar Sunil Katare; Utkarsh Gajanan Ghom; Mayank Mahesh Ghore; and Amey Vitthal Ghugarkar, Pune, Maharashtra, on March 6, for 'industrial safety violation detection through ai powered computer vision.'
Inventor(s) include Prof. Shraddha Mankar; Prof. Prajakta Dandavate; Omkar Sunil Katare; Utkarsh Gajanan Ghom; Mayank Mahesh Ghore; and Amey Vitthal Ghugarkar.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This invention discloses an intelligent IoT- and CCTV-based safety monitoring system for construction sites. BLE/UWB wearables enable real-time worker tracking, geo-fencing, and role-based access in a digital site blueprint. CCTV cameras with deep-learning analytics detect PPE non-compliance, risky area entries, and unsafe postures, fused with location data for violation assessment. An automatic violation detection unit triggers instant alerts (dashboard, alarms, SMS) for unauthorized access, proximity risks, PPE/posture issues. Adaptive risk zones dynamically adjust based on density, equipment, and events. Movement analytics generate heatmaps for near-misses and hotspots. Secure database stores profiles, logs, and analytics. The scalable system enhances accident prevention and compliance via proactive monitoring."
Disclaimer: Curated by HT Syndication.
