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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM39152
Volume:
8 |
11 |
Nov 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The development of AI-powered home security systems represents a substantial advancement in improving convenience and safety in homes. These systems offer complete, intelligent security solutions by integrating cutting-edge technology like computer vision, machine learning, and natural language processing. Smart sensors that can distinguish between people, dogs, and other items, real-time automated alerts, and security cameras with facial recognition and object identification capabilities are some of the key features. Smooth control and monitoring are made possible via voice control integration with smart assistants like as Google Assistant, Apple HomeKit, and Amazon Alexa. AI- powered home security systems come with a host of advantages, including cost effectiveness through energy optimization and false alarm reduction, convenience through remote access and automation, and improved security through proactive threat identification and continuous monitoring. They also enhance emergency response by using prompt and precise alerts and offer customization choices to meet individual user requirements.AI-powered home security may be used to detect break-ins, stop package theft, identify fire and danger hazards, monitor senior family members, and ensure the safety of pets. A system like this must be implemented by determining security requirements, choosing an appropriate AI-powered system, hiring a professional installer, setting up alerts and integrations, and performing routine maintenance and monitoring. All things considered, AI- powered home security systems provide a comprehensive solution to contemporary household security, fusing state-of-the-art technology with intuitive features to build safer, more intelligent houses
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Publication Date
11/26/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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