Facial Recognition Technology for Seamless Check-In and Personalized Guest Service
DOI:
https://doi.org/10.48047/CU/54/02/542-551Keywords:
Customer Satisfaction Index, Data Processing Time, Facial Recognition Usage Rate, Privacy Concerns, System Accuracy Rate, User Satisfaction, Benefits of Facial Recognition, Cost Efficiency, Hybrid System, Implementation TimeAbstract
Facial recognition technology (FRT) is fundamentally reshaping the hospitality landscape, offering streamlined check-in processes, and enhanced personalized guest services. This paper explores the implementation of biometric solutions, highlighting how FRT effectively reduces queues by allowing guests to check in without traditional identification methods, thereby minimizing wait times and improving overall guest satisfaction. Moreover, integrating FRT promotes security by ensuring that only authorized individuals
can access restricted areas within hotels. However, the adoption of this technology is not without challenges; important ethical and privacy concerns arise from its use. As FRT relies on sensitive biometric data, issues surrounding data collection, consent, and potential misuse must be addressed. This paper also examines the implications of regulatory frameworks, such as the General Data Protection Regulation (GDPR), which mandate strict adherence to data protection principles. By critically assessing both the benefits and challenges associated with facial recognition systems in hospitality, this research aims to provide a balanced view on creating innovative, secure, yet ethical guest experiences in the modern hotel industry. Ultimately, this study underscores the need for responsible practices in the deployment of biometric solutions.
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References
. Smith, J., et al., "Integration of Facial Recognition Technology in the Hospitality Industry for Seamless Check-In," Journal of Hospitality Technology, vol. 12, no. 4, pp. 221-230, 2021.
. Jensen, A., et al., "Facial Recognition Systems for Personalized Guest Services: A Technical Analysis," International Journal of AI and Systems, vol. 19, no. 2, pp. 45-59, 2020.
. Garcia, M., et al., "Biometric Solutions for Enhanced Security and Personalized Services in Hotels," Journal of Biometric Security and Privacy, vol. 13, no. 1, pp. 38-49, 2020.
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