MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611002065 A) filed by Chandigarh University, Mohali, Punjab, on Jan. 8, for 'ai-driven multi-modal urban incident prediction and early warning system.'
Inventor(s) include Shubneet; Anushka Raj Yadav; Paras Mahajan; and Navjot Singh Talwandi.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-driven multi-modal urban incident prediction and early warning system that provides early warnings of urban incidents in smart cities. It integrates diverse, real-time data streams from IoT sensors, surveillance cameras, weather stations, social media platforms, and emergency services to deliver comprehensive situational awareness across urban environments. Using advanced machine learning techniques, the system fuses both structured and unstructured data to proactively forecast potential events such as traffic accidents, infrastructure breakdowns, and public safety risks before they occur. Through edge computing and privacy-focused methods, sensitive information is securely processed and anonymized, reinforcing citizen trust. Its modular and scalable design ensures seamless integration with existing city management systems, offering explainable alerts and dynamic recommendations via user-friendly dashboards, and APIs."
Disclaimer: Curated by HT Syndication.
