Research Article Artificial Intelligence-Powered Contactless Face Recognition Technique for Internet of Things Access for Smart Mobility Nirmala Hiremani, 1 Mohammad Kamrul Hasan , 2 T. G. Basavaraju, 3 Shayla Islam , 4 Dabiah Alboaneen, 5 Entisar Alkayal , 6 Nesreen M. Alharbi, 7 Zulkefli Mansor, 2 and Sanaz Amanlou 2 1 Department of Computer Science and Engineering, Visvesveraya Technological University, Karnataka, India 2 Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia 3 Department of Computer Science and Engineering, Government Engineering College, Karnataka, India 4 Institute of Computer Science and Digital Innovation, UCSI University, 56000 Kuala Lumpur, Malaysia 5 Computer Science Department, College of Sciences and Humanities, Imam Abdulrahman Bin Faisal University, P.O. Box 31961, Saudi Arabia 6 Department of Information Technology, Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Rabigh 21911, Saudi Arabia 7 Information System Department, Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Rabigh 21911, Saudi Arabia Correspondence should be addressed to Mohammad Kamrul Hasan; mkhasan@ukm.edu.my and Shayla Islam; shayla@ucsiuniversity.edu.my Received 4 April 2022; Revised 21 July 2022; Accepted 26 August 2022; Published 16 September 2022 Academic Editor: Kuruva Lakshmanna Copyright © 2022 Nirmala Hiremani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A contactless system became necessary for smart mobility during the COVID-19 pandemic. There are many touchpoints in private and public areas where contact is essential, such as intelligent transportation systems for vaccine carriers, patient ambulances, elevators, metros, buses, hospitals, and banks. A secured contactless device reduces the chances of COVID-19 infection spread. Several devices use smart cards, fingerprint identification, or code-based access. Most of these devices require some form of touch. The cost of such devices varies, depending on their capability and intended use. Sensors developed by using artificial intelligence (AI) to provide secured access are an emerging area. This paper presents an AI-powered contactless face recognition system. The solution has the Internet of Things (IoT) enabled access system. To identify a person, it uses AI assistance for face recognition with the help of Python Dlib’s facial recognition network. Dlib offers a wide range of functionality across several machine learning sectors and is open-source. The Arduino Uno (ATmega328P) and STK500 protocol has been used for communication to testify and validate the performance of the proposed technique. The objective is to detect and recognize faces by the proposed contactless approach. The obtained result shows 92% accuracy, 94% sensitivity, 96% precision and FRR 6% for face detection. There is a significant improvement in FRR in our work compared to the published 27.27%. The implemented solution in this paper provides accurate and secure contactless access to conventional, readily available techniques in public health safety. Hindawi Wireless Communications and Mobile Computing Volume 2022, Article ID 8750840, 11 pages https://doi.org/10.1155/2022/8750840