MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621048518 A) filed by Sage University on April 16, 2026, for System And Method For Iot-Based Adaptive School Zone Safety With Real-Time Detection And Predictive Collision Prevention.
Inventors include Dr Prashant Jain; Dr. Sumit Jain; Dr. Piyush Moghe; Manoj Yadav; and Md Asif.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT System and Method for IoT-Based Adaptive School Zone Safety with Real-Time Detection and Predictive Collision Prevention The present invention relates to a system and method for IoT-based adaptive school zone safety and real-time collision prevention. The system is deployed at a roadside infrastructure level and comprises sensing units configured to detect pedestrian presence, monitor vehicle speed, and acquire environmental parameters in real time. A processor in conjunction with an artificial intelligence and machine learning-based analytics unit performs sensor fusion and predictive risk assessment by correlating pedestrian activity, vehicle movement, and contextual conditions. Based on the assessed risk, a control and alert unit dynamically activates safety mechanisms and generates severity-based alerts. The system further enables multi-channel communication including visual, auditory, and digital notifications to drivers and monitoring authorities. Additionally, a cloud-based platform supports data logging, analytics, and adaptive model updates. By enabling real-time pedestrian detection–driven safety activation independent of individual vehicles, the invention provides a proactive, scalable, and energy-efficient solution for reducing accidents and improving safety in school zones. Fig.3
Disclaimer: Curated by HT Syndication.
