Creation of An Automated Video Surveillance System Using IOT And AI Systems
Year: 2025
Type: article
Abstract: Nowadays, people depend on security systems to safeguard their belongings, making safety and security top priorities. A smart CCTV surveillance system with intrusion detection is proposed in this proposal. It integrates face recognition to verify users and uses numerous USB cameras for live streaming and monitoring. The system notifies the owner via email, SMS, and a snapshot when it detects an unknown face. Computers and cellphones may both view live camera feeds. The system offers improved functionality for residences, shops, and shopping centers by utilizing IP technology and intelligent picture analysis. Face recognition technology enhances surveillance efficiency by reducing false alarms and improving real-time threat detection. Moreover, integrating multiple security layers, such as motion detection and behavior analysis, can further enhance security measures. The focus of this study is on creating a cutting-edge, effective security solution.
Authors: Manali Chahande, Prof. Lowlesh Yadav, Prof. Bramhadeo Wadhibhasme
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W6930920565
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