Smart Home-Based Smoke Detection with Image Surveillance System

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Modern Approaches in IoT and Machine Learning for Cyber Security

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Abstract

Smoke detection senses smoke, which is typically an indicator/upcoming indicator of fire to be aware in order to prevent the loss of life, infrastructure, etc. In real time, a certain owner may face some difficulties to know the exact current situation of their infrastructure, either they leave for a short or long period of time, especially in the incident of smoke. If the smoke occurs without any notice for longer durations which may result in the fire, then the owner might suffer a lot of losses, especially the destruction of property and human life. In order to avoid this problem, we designed a smoke detection system using ESP32 that detects the smoke or gas leakage and then, notifies the house owners by using a Telegram Bot through a mobile phone by sending the alerts, followed by real-time images. Hence, the presence of a smoke detection system is necessary for avoiding fire hazards and helps in kee** our family safe. In the house, we have air pollution through the form of dust, smoke, or any leakage of LPG gas from cylinder or leakage of fire extinguisher. Predominantly, here, the major hazardous situation is leakage of LPG gas from cylinders and causes heavy damage to us and our surrounding. So, we are focusing on the gas leakage and also smoke emitted by the fire accidents.

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Correspondence to K. Kiran Kumar .

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Kiran Kumar, K., Aruna Sri, P.S.G., Vijay Kumar, G., Murali, G. (2024). Smart Home-Based Smoke Detection with Image Surveillance System. In: Gunjan, V.K., Ansari, M.D., Usman, M., Nguyen, T. (eds) Modern Approaches in IoT and Machine Learning for Cyber Security. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-09955-7_23

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  • DOI: https://doi.org/10.1007/978-3-031-09955-7_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09954-0

  • Online ISBN: 978-3-031-09955-7

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