Beyond Borders: Navigating Tomorrow with AI-Enhanced Face Acknowledgement in Tourism and Service industry

By: Phattanaviroj Thanaporn, Business Administration Department, Asia University, Taichung, Taiwan, E-mail:


This article explores the effect of AI-driven face acknowledgement on enhancing rate in the tourism and service industry. Based on structured discussions with 26 replies, by classifies four core themes: personality, information driven facility offerings, protection and safety, and unified expenses. The article concludes that AI-based Face Acknowledgement can suggestively contribute to understanding travelers’ requirements, enhancing facility offerings, and providing rate-based facilities. The findings suggest probable applications such as personalized travel planner, message and datebook combination, and rapid bill summarization. This article provides to travel works by applying the administrative info processing concept to strengthen the understanding of the role of AI in the business.


Face acknowledgement technology, a subset of biometrics, is crucial for businesses in the digital landscape for data safety and compliance. It involves face detection, capture, and matching to verify individuality, benefiting various sectors like healthcare, law enforcement, and government. Companies like Facebook and Apple have integrated facial recognition into their systems [1]. Facial recognition technology is vital in the travel and tourism business for quick information processing, enhancing customer experiences and preventing scheme. It facilitates identification, verification, and access control, and is used to verify biometric passports. AI-driven facial recognition can improve environmental sustainability by reducing paper-based boarding passes and enabling strong organizational processing capabilities [2]. However, studies on travel and tourism often focus on electronic mail created message or isolated check-in arrangements, lacking in security aspects. Hence, this article emphases on probable and existing app of AI-driven face acknowledgement Information Systems knowledge in the tourism and service industry.

AI with the in Tourism and Service industry

The travel business is leveraging face acknowledgement technology to increase facility involvements and safety. This technology allows for quick information processing, correctness, and minimal security risks. It also assistances in crime prevention and suspect recognition. AI driven face acknowledgement is crucial in the involvement economy, allowing hotel staff to recognize repeat customers and automate room likings [3]. Moreover, supports in seamless payment authorization, enabling check-outs and automatic payments in restaurants. It also helps hotels business to identify descriptions, sounds, and services appealing to tourist profiles, allowing the travel industry to tailor offerings and enhance customer experience by constructing psychological profiles [4]. In addition, exists explain the facility providing in terms of physical self-checking machine, paper scanning, and checkout in the tourism and service industry. However, these articles reduction brief of highlighting the crucial elements that have the potential to revolutionize in the travel fields.

Investigate process

The study, originally planned for face-to-face interviews, was conducted online due to the COVID pandemic but instead composed data over an available survey, ensuring careful data collection, follow-ups, and analysis. It targeted corporate the business travelers in India with at least three years of travel knowledge, stay in three- and five-star hotels. Semi-structured questions were developed based on existing and refined through consultations. Bias reduction was ensured by keeping questions generic and considering responses with an open mind during data analysis. The three-step approach involved initiating conversations, considerate the personality’s involvement in the tourism and service industry, and interviewing respondents with structured questions. [5].

Fig 1: Investigate plan framework

Fig 2: Draft Questionnaire

The actual role of AI face acknowledgement in the tourism and service industry

The article explores impact of AI driven face acknowledgement on the tourism and service industry, directing on personality, information driven facilities, security, and whole expenses. The article suggest that AI-based face acknowledgement technology can proposal community, conservational, and commercial supports to the industry, particularly in present dynamic situation. The article provides a theory basement considerate of different extents, enabling tourism consultants to create approaches for using AI as supported face acknowledgement for processes in tourism and service. The article also mixes tourism managing, info arrangements, and service processes managing, connecting the gap between these fields. And it also highlights unique contributions based on OIPT theory for academia and researchers [6].


This article offers strategies for tourism organization managers should considering AI-based facial recognition systems. It suggests evaluating customization, data-driven decision making, security points, and automation in payments before investment [7]. AI driven face acknowledgement can help meet conservation conditions by dropping unused and non-renewable resource use in travel agencies, airlines, agents, and hotels. It can also verify customer insurance claims and improve organizational information processing capabilities. Therefore, tourism business managers should consider several dimensions contributing to organizational competitive benefit [8-11]. For additional, observed study possibly will also be directed to recognize the AI-driven face acknowledgement from a extensive viewpoint.


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  11. Mourelle, L. M. (2022). Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities. N. Nedjah, A. A. Abd El-Latif, & B. B. Gupta (Eds.). Springer

Cite As

Thanaporn P. (2024) Beyond Borders: Navigating Tomorrow with AI-Enhanced Face Acknowledgement in Tourism and Service industry, Insights2Techinfo, pp.1

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