AI Based Fire Detection and Control System for an Indoor Positioning System
Year: 2025
Type: article
Abstract: With the rapid advancement of the internet and the growth of the Internet of Things (IoT), buildings are becoming increasingly intelligent, utilizing advanced technological solutions for safety and efficiency. One significant application in this domain is emergency navigation through wireless sensor networks (WSNs), which can effectively respond to crises. In emergency situations, these networks play a crucial role by guiding occupants to the safest and quickest evacuation routes based on real-time threat detection. By continuously monitoring environmental conditions, sensors detect potential hazards and promptly relay evacuation instructions to prevent congestion and ensure a swift and organized response. This system is designed not only to direct people to safety but also to dynamically select the most efficient paths, mitigating the risk of crowding and enhancing the safety of occupants during emergencies. The growing improvements in intelligent building systems, driven by advancements in AI and IoT, have opened new possibilities to make safety measures better. By using these technologies, emergency systems can now include smart tools to predict fire risks and ensure more effective safety actions. Additionally, the system's flexibility allows it to fit into different types of buildings, such as homes, offices, or factories, making it a practical solution for handling fire emergencies.
Authors: Abhishek Andil, Pranav Bhalerao, Gaurav Raygade, Saurav Bhosale, Pradnya Kasture
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409591667