A Fire Alarm Detection System with Speech Output Using Thresholding RGB and YCbCr Colour Space

Abstract

Fire branches in Malaysia constantly face the problem of reaching a fire site locality in a short time for rescue operations owing to complications like of lacking data pertaining to crowding on roads leading to the site. In addition to their existing complexities, identification of fake calls from unidentified callers is making it even more difficult. The framework proposed in the current work is based on increasing the visualization grounded fire detection scheme which observes for a substitute result to overcome the complexities. Nevertheless, these revision choice remains restricted for fire detection only. The presentation of the structure is conformed by means of hundred images. To ensure, the scheme remains tough towards dissimilar neighboring illumination, the images are put in use from morning through evening. However, the images shall experience numerous stages of pre-handling for minimizing sounds. “YCbCr” color space illustrates top presentation compared to RGB since the former technique can discriminate luminance from chrominance more efficiently compared to RGB color space.