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@article{188550,
        author = {Mohammed Ameer Hamza and Mohammed Furqan and Neeraj and Prof. Kaveri Kori},
        title = {SMART FIRE ALARM SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2578-2580},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188550},
        abstract = {Fire accidents pose a serious threat to human life and property, especially in residential, commercial, and industrial environments. Conventional fire alarm systems typically rely on a single sensor and are prone to frequent false alarms triggered by cooking smoke, steam, or dust. Additionally, traditional systems lack remote monitoring capabilities, making them ineffective when occupants are away from the premises.
This paper presents a Smart Fire Alarm System that integrates multiple sensors, Internet of Things (IoT) technology, and rule-based decision logic to provide reliable and early fire detection. The proposed system uses smoke, gas, temperature, and flame sensors connected to an ESP32 microcontroller for real-time data acquisition and processing. A multi-stage alert mechanism classifies conditions into Warning, Alert, and Fire states to reduce false positives. Sensor data and alerts are transmitted to a cloud platform for remote monitoring through a web dashboard. Experimental results demonstrate that the multi-sensor approach significantly enhances detection accuracy and minimizes false alarms compared to conventional systems. The system offers a low-cost, scalable, and reliable solution for modern fire safety applications.},
        keywords = {},
        month = {December},
        }