Abstract
Accidental fire is one of the leading cause of unnatural deaths in India. While there are a wide variety of fire alarm systems available in the market, most Indian homes are still unequipped with them. In commercial space, fire alarm systems are installed due to regulatory requirement but they are expensive, inadequate or often fail due to the problem of the false alarm, no battery, or switch off conditions. An intelligent Smoke, CO Alarm system with CCTV input is developed keeping the above limitations in mind. The device works in the IoT platform and can connect wirelessly to a mobile phone to notify in case of fire, abnormal CO concentrations, smoke or bad battery health at any time and from anywhere. With an early heads-up warning with the location of fire, it is now possible to cross-check where and what the trouble is before the alarms start hooting and informing the outside people. And in-case it was a false alarm, it can silence it using a mobile phone. The detailed positional information of fire in the building is planned to be utilized for safeguarding. UAV will be navigated to the outdoor building location to capture images of fire and smoke and communicate it to mobile phone to enable firefighting and initiate immediate rescuing by local people. Potential access of real-time images on the background of google map with the demarcation of building’s entry and exit points in relation to the location of fire is demonstrated on RGIPT’s campus as a successful intelligent fire alarm system.
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Acknowledgements
Authors acknowledge the contributions of S&T club students of RGIPT (especially of first year) and other (e.g., A Pachauri) who have worked tirelessly towards developing and building the intelligent fire alarm system at RGIPT.
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Joshi, G., Pal, B., Zafar, I., Bharadwaj, S., Biswas, S. (2020). Developing Intelligent Fire Alarm System and Need of UAV. In: Jain, K., Khoshelham, K., Zhu, X., Tiwari, A. (eds) Proceedings of UASG 2019. UASG 2019. Lecture Notes in Civil Engineering, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-030-37393-1_33
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DOI: https://doi.org/10.1007/978-3-030-37393-1_33
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