Intellectual Property India Publishes Patent Application for 'AI-Driven System For Real-Time Vehicular Horn Detection And Urban Noise Control' Filed by Gilbert A R; Chinchu Rani Vincent; Justin George; Martina A A; Rinu Jose; Sobi Thomas; Jins Sebastian; Mariat George; Dr. Sheik Mohamed S. H; and Alisha James

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134229 A) filed by Gilbert A R; Chinchu Rani Vincent; Justin George; Martina A A; Rinu Jose; Sobi Thomas; Jins Sebastian; Mariat George; Dr. Sheik Mohamed S. H; and Alisha James, Idukki, Kerala, on Dec. 31, 2025, for 'ai-driven system for real-time vehicular horn detection and urban noise control.'

Inventor(s) include Gilbert A R; Chinchu Rani Vincent; Justin George; Martina A A; Rinu Jose; Sobi Thomas; Jins Sebastian; Mariat George; Dr. Sheik Mohamed S. H; and Alisha James.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "AI-Driven System for Real-Time Vehicular Horn Detection and Urban Noise Control This invention describes an AI-enabled system for real-time monitoring, classification, and regulation of vehicular horn usage within urban environments. The system integrates directionally calibrated acoustic sensors, digital signal processing, and convolutional neural networks to detect and categorize horn events. A synchronized vehicular identification module comprising high-resolution imaging and optical character recognition establishes source attribution. A contextual analysis engine evaluates environmental and situational data-such as traffic signal status, pedestrian activity, and ambient noise levels-to determine the necessity of horn usage. Confirmed infractions are logged with supporting multimedia evidence and metadata, enabling administrative enforcement or driver notification. The system supports edge computing for low-latency processing and cloud-based analytics for scalable deployment. Further integration with vehicle-to-infrastructure (V2I) and smart city networks facilitates holistic urban noise management. The invention provides an intelligent, autonomous, and legally compliant framework to mitigate noise pollution and promote disciplined vehicular behavior in modern urban infrastructure."

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