MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062323 A) filed by Ms. M. Nalini; Ms. G. Archana; Ms. R. Pradeepa; Ms. J. Israelin Insulata; Ms. Arokia Staline Mary. M; Ms. J. Sivasangari; Mr. K. Rajkannan; and Mr. Karthikeyan M, Trichy, Tamil Nadu, on May 16, for 'intelligent iot-based urban noise pollution assessment system using machine learning.'
Inventor(s) include Ms. M. Nalini; Ms. G. Archana; Ms. R. Pradeepa; Ms. J. Israelin Insulata; Ms. Arokia Staline Mary. M; Ms. J. Sivasangari; Mr. K. Rajkannan; and Mr. Karthikeyan M.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present system discloses an intelligent IoT-based urban noise pollution assessment system using machine learning and distributed acoustic sensor networks for real-time environmental noise monitoring and predictive analysis. The system comprises multiple IoT-enabled acoustic sensor nodes configured to capture urban sound signals and environmental parameters across distributed locations. An Adaptive Distributed Acoustic Intelligence (ADAI) framework and a Hybrid Edge-Cloud Noise Analytics (HECNA) technique enable decentralized preprocessing, anomaly detection, and cloud-based machine learning analytics. The invention utilizes deep learning algorithms for urban sound classification, acoustic hotspot identification, predictive noise trend analysis, and automated alert generation. The proposed system improves urban environmental monitoring, smart city planning, public health management, and regulatory compliance through scalable, intelligent, and real-time acoustic assessment capabilities."
Disclaimer: Curated by HT Syndication.
