Smart-Sensor Based Fire & Gas Avoider System
Keywords:
IoT, machine learning, intelligent sensors, fire and gas leak detection, and adaptive buzzers.Abstract
Now-a-days Fire and gas leakage incidents pose serious threats to life, environment, and property. Conventional detection systems often lack from precision, resulting in false alarms and delayed response. Our project proposes a Smart sensor based fire and gas avoider system, which utilizes the multiple environmental sensors that includes flame, gas, smoke, and temperature sensors. Proposed system use Machine Learning algorithms for advance detection and action, which are trained to differentiate between true threats and non-hazardous fluctuations by reducing false positives. This system sends real-time notifications to cloud platforms that are connected for remote monitoring and automatically sounds alerts using adaptive buzzer.
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