MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611054616 A) filed by Abes Engineering College, Ghaziabad, Uttar Pradesh, on April 29, for 'intelligent odour-based multi-sensor system for air pollution detection and classification.'
Inventor(s) include Shruti Gupta; Kadambri Agarwal; and Vikas Maurya.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an intelligent odour-based multi-sensor system and method for detection and classification of air pollution. The system comprises a multi-sensor array including gas sensors, particulate matter sensors, and temperature sensors configured to monitor ambient air conditions. An embedded processing unit acquires and preprocesses sensor data and applies sensor fusion techniques to generate a composite representation of air quality. A machine learning module analyzes the fused data to identify odour signatures corresponding to different pollution sources, including combustion of plastic, biomass, rubber, and mixed waste, and classifies the pollution type with associated confidence levels. The system further includes alert mechanisms for real-time notification of hazardous conditions and data logging for analysis and monitoring. The system is portable, energy-efficient, and capable of adaptive learning, making it suitable for deployment in residential, industrial, and public environments for continuous and intelligent air quality monitoring."
Disclaimer: Curated by HT Syndication.
