Fire Detection Using CCTV Surveillance

Fire detection is a critical component of safety and security systems, aimed at minimizing loss of life and property damage. Traditional fire detection systems rely on smoke or heat sensors, which often suffer from delayed response times and limited coverage. This paper presents a CCTV-based fire detection approach that utilizes video surveillance and image processing techniques to identify fire occurrences in real time. The system analyzes visual cues such as color, motion, and intensity variations to accurately detect fire and generate alerts. By integrating CCTV cameras with intelligent algorithms, the proposed method enhances detection accuracy, provides faster response, and reduces false alarms. This approach is cost-effective, scalable, and suitable for both indoor and outdoor environments, offering an efficient alternative to conventional sensor-based fire detection systems.