Hardware Design and Implementation of a Low-Cost IoT-Based Fire Detection System Prototype Using Fuzzy Application Methods

The lack of reliable, low-cost fire detection systems within the central local market communities of East Africa (EA) has resulted in serious catastrophic fire accidents that have resulted in loss of life and property. Proposed satellite systems are expensive to acquire and maintain. Also, unit sensor smoke detectors are highly susceptible to false alarm rates. The proposed low-cost fire detection system prototype was implemented using the Arduino UNO, Arduino IDE platforms integrated with the fuzzy logic technique to determine an informed fire status decision. Hence, the proposed solution ensures appropriate public fire safety protection for the nearby market community by providing early warning alarm notification in case of a fire outbreak. Obtained results show that the proposed fire detection system prototype using fuzzy logic exhibited an accuracy rate of 91% using a confusion matrix model (CMM) evaluation method.