International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Real-time Face Recognition Using FaceNet and Haar Cascade for Door Monitoring

Author(s) Sukash L, Sakthi P, Sudharsan K, Vignesh V, Tamil Selvan R
Country India
Abstract The demand for intelligent security systems has surged, leading to innovative solutions in access control and monitoring. This paper introduces a comprehensive Door Monitoring System integrating the Haar Cascade algorithm and the FaceNet model to enhance the accuracy and efficiency of door access control using camera. The Haar Cascade algorithm excels in real-time face detection, identifying faces within monitored areas with precision even under varying lighting conditions and diverse facial orientations. Complementing this, the FaceNet model employs deep learning techniques for accurate face recognition. The system offers a non-intrusive and efficient solution for access control by alerting users with images of unknown individuals, captured and stored securely. The integration of Haar Cascade and FaceNet yields a reliable and robust smart door monitoring system suitable for residential, commercial, and institutional areas.
Keywords Monitoring System, Face Recognition, FaceNet, Haar Cascade, door access control
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-06
Cite This Real-time Face Recognition Using FaceNet and Haar Cascade for Door Monitoring - Sukash L, Sakthi P, Sudharsan K, Vignesh V, Tamil Selvan R - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.16567
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.16567
Short DOI https://doi.org/gtp8hr
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E-ISSN 2582-2160
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