Artificial Intelligence Based Fire and Smoke Detection and Security Control System

Abstract

Significant threats to property, human life, and the environment arise from fire events. For fires to have as minimal of an impact as possible, quick discovery and effective action are essential. AI-based fire and smoke detection and security control systems use cutting-edge technology and algorithms to accomplish early and precise fire event detection. AI-proposed systems use computer vision techniques to analyze the sensor data in real time and find visual signs of fire and smoke. Based on hue, the Fire is located. For detection, contours and bounding boxes are utilized. The system can distinguish between two fires if they are visible in the frame using numbers because Google Text to Speech Recognition has been added to the system, it is now able to identify fires and inform the user. Compared to conventional methods, the suggested AI-based fire and smoke detection and security control system offers several advantages, including quicker reaction times, fewer false alarms, and improved overall safety.