Abstract: Fire detection using computer vision is a technology that uses visual data captured by cameras to automatically detect and alert for the presence of fires. By analyzing changes in the video stream, computer vision algorithms can identify patterns and characteristics associated with flames, smoke, and other indicators of a fire. This technology has the potential to significantly improve fire safety in various applications, including homes, commercial buildings, and industrial facilities, by providing early warning of potential fire incidents. Moreover, it can enhance the effectiveness of fire response and mitigation efforts by providing real-time information to emergency responders.

Keywords: CNN, Yolo, Open CV, Fire Detection

| DOI: 10.17148/IARJSET.2024.11449