Fire Detection Using CCTV Images with 1-Dimensional Convolutional Neural Network Based on GUI

Fire is a phenomenon that causes physical and material losses to humans. Fires are difficult to predict based on causes and location. Therefore, early detection of fires is necessary to reduce the impact. With these issues, this research aims to detect fires based on CCTV images. So far, there has been no research on fire detection based on CCTV images using a 1D CNN. The detection of fires based on CCTV images will be carried out by creating an algorithm model with a 1D convolutional neural network. This research uses a dataset of fire images based on CCTV that is already pre-processed. An interface display is created for inputting data using the Tkinter library to show a graphical user interface (GUI). The result of the algorithm model process using the 1D convolutional neural network based on accuracy, precision, and recall is 88.43%. The understanding of the actual input data is still low in terms of detecting fires based on CCTV images and requires further processing of CCTV image data.