September 5, 2025International Journal for Research in Applied Science and Engineering TechnologyOpen Access

Visitor Authentication System Based on Face Recognition Technology

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The proposed system achieves high recognition accuracy and rapid response times in accessing security areas.
Using the YOLOv8 deep learning model facilitates fast and accurate face detection for enhanced security measures.
The visitor authentication system replaces traditional methods with an efficient, contactless approach, supporting modular deployment.
Testing demonstrates the system's reliability across different security environments like corporate offices, smart homes, and public infrastructures.

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Implication

Real-time face recognition improves security and efficiency in visitor authentication systems, indicating significant advancements in access control technologies.

Cite This Study

K. Subba Rao (2025) studied this question.

synapsesocial.com/papers/68c23965b210217d6477b1f9 https://doi.org/10.22214/ijraset.2025.73781

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Implication

Real-time face recognition improves security and efficiency in visitor authentication systems, indicating significant advancements in access control technologies.

Visitor Authentication System Based on Face Recognition Technology

Key Points

Discussion

Implication

Cite This Study

Visitor Authentication System Based on Face Recognition Technology

Key Points

Discussion

Implication

Cite This Study