Abstract: A surveillance camera is an essential security device used for monitoring and recording activities in a specific area. It is commonly used in various settings such as homes, businesses, public spaces, and industrial sites to deter crime, monitor behavior and ensure safety. Surveillance cameras are typically connected to a system for remote viewing and recording, allowing users to observe live footage or review past events. AI-powered surveillance cameras represent a significant advancement in security technology, integrating artificial intelligence and machine learning algorithms to provide more intelligent, automated, and accurate surveillance. Unlike traditional surveillance cameras   that simply capture and record footage, AI-powered cameras have the ability to analyze data in real-time, recognize patterns, and make decisions based on predefined criteria. This leads to enhanced security, greater efficiency, and faster response times. AI-powered cameras can    automatically identify and track objects or people within their field of view. Using machine learning and computer vision algorithms, these cameras can differentiate between humans, vehicles, animals, and other objects. They can also detect specific behaviors or events such as Intrusion detection, Loitering detection etc.

Keywords: Surveillance camera, Fire detection, scream detection, Arduino, Emergency services, smart security, IOT based , smart surveillance system.

| DOI: 10.17148/IARJSET.2024.111246