AN AI-DRIVEN CLOUD-BASED SMART SURVEILLANCE SYSTEM FOR FIRE AND SMOKE DETECTION

Abstract

Fire incidents in residential, commercial, and industrial environments pose a serious threat to human life and infrastructure. Conventional fire detection systems rely mainly on smoke or temperature sensors, which often result in delayed responses and increased damage. To overcome these limitations, this research presents a Smart Fire Surveillance System that integrates Artificial Intelligence (AI) with cloud technology for intelligent fire monitoring. The proposed system utilizes surveillance cameras to continuously capture video streams and applies AI-based computer vision techniques to identify fire and smoke patterns in real time. Once a fire event is detected, the system transmits the detection results to a cloud platform where the information is securely stored and analyzed. The cloud infrastructure enables remote monitoring, centralized data management, and instant notifications to users through web or mobile applications. By combining AI-based visual detection with scalable cloud services, the system provides faster detection, minimizes false alarms, and improves response time. This solution is suitable for deployment in smart cities, industries, commercial buildings, and residential areas, offering an efficient and cost-effective approach to fire safety management.