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

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.