MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641124660 A) filed by Dr. Tamilarasan. S; Dr. Shrinivas Sirdeshpande; Dr. Ramani G; Ms. Bhavya K Bharathan; Sai Mridula Yvb; Sahaya Ajisha V S; Potakari Smart; and S Pawan on October 17, 2026, for Iot-Enabled Real-Time Detection And Classification Of Multiple Gases Using Multi-Mq Sensors And Machine Learning.
Inventors include Dr. Tamilarasan. S; Dr. Shrinivas Sirdeshpande; Dr. Ramani G; Ms. Bhavya K Bharathan; Sai Mridula Yvb; Sahaya Ajisha V S; Potakari Smart; and S Pawan.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: ABSTRACT OF THE INVENTION The present invention provides a machine learning-based system and method for real-time detection and classification of multiple gases using multi-sensor MQ data. The system acquires gas concentration data through a plurality of MQ-series gas sensors and processes the sensor data using an embedded processing unit. The processed data is transmitted to a backend server for machine learning-based classification using a Random Forest model. The system identifies gases including smoke, alcohol, ammonia, LPG, butane, and methane and generates corresponding real-time alerts through a user interface. The invention enables continuous monitoring, automated gas identification, and timely alert generation for improved safety in residential, industrial, and other monitored environments.
Disclaimer: Curated by HT Syndication.
