IoT-Enabled Facial Recognition for Smart Hospitality for Contactless Guest Services and Identity Verification

• Published in: Proceedings (International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) pp. 1 - 6
• Main Authors: Srinivasan, S., Raja, R., Jehan, C., Murugan, S., Srinivasan, C., Muthulekshmi, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14.03.2024
• Subjects: Cameras; Face recognition; Facial recognition; Guest services; Industries; Internet of Things; IoT; Open CV; Real-time systems; Reliability; Smart hospitality; Technological innovation
• ISSN: 2769-2884
• DOI: 10.1109/ICRITO61523.2024.10522363

The proposed system integrates face recognition and Internet of Things (IoT) technology to revolutionize the hospitality industry. It uses OpenCV, a widely recognized computer vision library, to deliver smooth, contactless guest services and rigorous identification verification. This paper proposes a novel method to improve visitor experiences by removing check-in and allowing personalized services. The IoT -enabled face recognition system presented in this paper streamlines the visitor experiences. Facial biometrics eliminates the need for identity papers, making the check-in process simple. The proposed system, OpenCV, is used for face detection, identification, and verification. The system's design includes strategically positioned cameras for visitor identification and tracking. Health and safety are crucial, so this system's contactless nature is a major benefit. The solution also increases visitor safety by lowering the danger of fraud and illegal access. The IoT-enabled face recognition technology improves operational efficiency, guest satisfaction, and security in the hospital industry.