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This paper proposes the development of an affordable and efficient security management system designed to transform any device equipped with a camera into a functional surveillance tool. Utilizing advanced facial recognition technology, the system records video only when a face is detected. Key features include real-time facial recognition and motion detection, a user-friendly interface, and flexible storage options, including local and cloud solutions. Users will receive real-time alerts when faces are recognized, ensuring prompt responses to potential security threats. This paper outlines the comprehensive implementation plan, encompassing research, development, testing, deployment, and marketing strategies. Ultimately, this system aims to provide a practical security solution that enhances safety without the need for costly hardware.

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AI- and Computer Vision–Based Real-Time Motion Detection and Face Recognition for Smart Security Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Ishani Mishra

摘要

This paper proposes the development of an affordable and efficient security management system designed to transform any device equipped with a camera into a functional surveillance tool. Utilizing advanced facial recognition technology, the system records video only when a face is detected. Key features include real-time facial recognition and motion detection, a user-friendly interface, and flexible storage options, including local and cloud solutions. Users will receive real-time alerts when faces are recognized, ensuring prompt responses to potential security threats. This paper outlines the comprehensive implementation plan, encompassing research, development, testing, deployment, and marketing strategies. Ultimately, this system aims to provide a practical security solution that enhances safety without the need for costly hardware.