MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641100706 A) filed by Jeppiaar Institute Of Technology on August 20, 2026, for An Intelligent Real-Time Smart Fire Prediction And Risk Monitoring Device Using Machine Learning.
Inventors include Sam Bercy S; Pon Sandhya S; Dr. D. Paulraj; Subiksha T; Mirsha Jose J; Keerthana S; Harsh Itha S. A; Harini M; Akshetha P; and Vimala Reni F.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: 6.ABSTRACT OF THE INVENTION (to be given along with complete specification on separate page) Fire accidents can cause significant loss of life, property, and resources, especially when they are detected only after flames or heavy smoke have developed. The Smart Fire Prediction Device is proposed as an intelligent safety system designed to detect early signs of fire and provide timely warnings before the situation becomes severe. The system continuously monitors environmental parameters such as temperature, smoke, gas concentration, and humidity using appropriate sensors. The collected sensor data is processed by a microcontroller and analyzed to identify abnormal patterns that may indicate a potential fire hazard.When the monitored parameters cross predefined safety limits or the system identifies a suspicious combination of conditions, it generates an immediate alert through a buzzer, warning indicator, and remote notification system. The device can also record sensor readings and display the current environmental status through a monitoring interface. By combining multiple sensor inputs instead of depending on a single parameter, the proposed system aims to reduce false alarms and improve the reliability of early fire detection .The Smart Fire Prediction Device can be used in homes, laboratories, offices, industries, warehouses, and other fire-sensitive environments. The proposed system provides a low-cost and real-time approach to fire-risk monitoring and can contribute to faster emergency response and improved safety
Disclaimer: Curated by HT Syndication.
