AI - Driven Transformation in Fire Safety: A Comprehensive Study on AI - Integrated Fire Alarm and Detection Systems

Mohammad Kalim Mohammad Hanif

Abstract: This paper provides an in - depth exploration of the role of Artificial Intelligence AI in revolutionizing fire safety measures, specifically focusing on fire alarm and detection systems. It discusses the operational mechanisms of AI - integrated systems, their advantages over traditional systems, and their potential to redefine fire safety. The paper further delves into the aspects of enhanced accuracy, early detection, predictive analytics, smart building integration, and the continuous learning capabilities of these AI systems. The study underscores the potential of AI to mitigate fire - related hazards, thereby fostering safer environments.

Keywords: Artificial Intelligence, Fire Safety, Fire Alarm

How to Cite?: Mohammad Kalim Mohammad Hanif, "AI - Driven Transformation in Fire Safety: A Comprehensive Study on AI - Integrated Fire Alarm and Detection Systems", Volume 12 Issue 8, August 2023, International Journal of Science and Research (IJSR), Pages: 125-126, https://www.ijsr.net/getabstract.php?paperid=SR23727132310, DOI: https://dx.doi.org/10.21275/SR23727132310