Fire Detection Using Image Processing Techniques with Convolutional Neural Networks
Raam Pujangga SadewaSchool of Electrical Engineering, Telkom University, Bandung, IndonesiaBudhi IrawanSchool of Electrical Engineering, Telkom University, Bandung, IndonesiaCasi SetianingsihSchool of Electrical Engineering, Telkom University, Bandung, Indonesia
2019en
ABI
Abstract
Fire is a flame, whether it is small or large, an undesirable place, situation and time. In general, every place has the potential to experience a fire. But at this time, the smoke sensors are the most widely used devices to detect fires. Where the smoke sensors can only detect fires if the fire is large. So that a system is needed to detect early fires. In this paper, an image-based fire alarm system is designed, using a laptop and webcam as the main equipment. The method for using Convolutional Neural Networks (CNN) to identify fire. The system created has an accuracy rate of 92%.
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