Automatic Outdoor Fire detection using Deep learning Automatic Outdoor Fire detection using machine learning and deep learning

Abstract

Abstract

One of the unlucky phenomena that contribute to environmental disasters is fire, which also poses a serious threat to human safety and life, particularly when it is not recognized by sensor-based fire detection systems. Therefore, putting inexpensive and efficient sensors in certain locations will greatly speed up the detection of fires. Vision-based fire detection systems take advantage of the three fundamental features of fire: color, movement, and shape (fire shape). Work has been done to build smoke and fire detection systems based on images that use security cameras. In this study, fire photos are used to extract features before inputs are made. To one of the classification techniques that applies SVM-based machine learning. and CNN-based deep learning technique. We use the linear regression model so that the bounding box of the classified object determines the correct coordinates.