MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051613 A) filed by Rns Institute Of Technology; Heenakousar L M; Dr Vidya Y; Halima Aiman; Gaganashree B S; Jeevitha M; and Geetha B R, Bangalore, Karnataka, on April 22, for 'intelligent multi-sensor fire detection and adaptive risk classification system.'
Inventor(s) include Dr Vidya Y; Jeevitha M; Gaganashree B S; Halima Aiman; Geetha B R; and Heenakousar L M.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Fire accidents are one of the major causes of damage to life and property in homes, industries, and public places. Early detection of fire is very important to prevent severe loss and ensure safety. The proposed invention introduces an intelligent fire detection alarm system capable of identifying fire hazards at an early stage and providing accurate alerts using multi-sensor data fusion and adaptive decision-making. The system utilizes a combination of sensors such as smoke sensors, temperature sensors, and flame sensors to continuously monitor environmental conditions. Unlike conventional systems, the proposed invention incorporates a multi-parameter analysis mechanism, where sensor data is collectively evaluated rather than independently processed. A microcontroller-based decision unit applies adaptive thresholding and correlation logic to distinguish between actual fire conditions and false triggers such as dust, humidity, or temporary heat variations. The system further includes a risk-level classification mechanism, categorizing the detected condition into multiple levels such as low risk, moderate risk, and high risk. Based on the classified risk level, the system triggers graded responses, including warning alerts, emergency alarms, and optional activation of safety mechanisms such as sprinklers or communication modules. Additionally, the system is capable of learning normal environmental conditions over time and dynamically adjusting its detection thresholds, thereby improving accuracy and reducing false alarms. The invention provides a reliable, low-cost, and intelligent fire detection solution suitable for residential, commercial, and industrial applications. By integrating multi-sensor intelligence, adaptive analysis, and risk-based response, the proposed system significantly enhances fire detection accuracy and response efficiency, thereby minimizing damage and improving overall safety management."
Disclaimer: Curated by HT Syndication.
