Abstract: Fire is one of the dangerous events which can result in great losses if not controlled on time. It spreads quickly, hence detection of fire events in early phases and alerting the same is very essential. In this research paper we propose a cost-effective fire detection system which will detect fire using surveillance images and videos captured by a CCTV in industrial sites or places in general. Our fire detection system is based on convolutional neural networks (CNN’s). The model uses images and videos that contain both fire and non-fire elements as a dataset for training.

Keywords: CNN’s, Fire Detection, Surveillance, Alerting, CCTV.

| DOI: 10.17148/IJIREEICE.2020.8608