Personal identification with artificial intelligence under COVID-19 crisis: a scoping review

Abstract

Background Artificial intelligence is useful for building objective and rapid personal identification systems. It is important to research and develop personal identification methods as social and institutional infrastructure. A critical consideration during the coronavirus disease 2019 pandemic is that there is no contact between the subjects and personal identification systems. The aim of this study was to organize the recent 5-year development of contactless personal identification methods that use artificial intelligence. Methods This study used a scoping review approach to map the progression of contactless personal identification systems using artificial intelligence over the past 5 years. An electronic systematic literature search was conducted using the PubMed, Web of Science, Cochrane Library, CINAHL, and IEEE Xplore databases. Studies published between January 2016 and December 2020 were included in the study. Results By performing an electronic literature search, 83 articles were extracted. Based on the PRISMA flow diagram, 8 eligible articles were included in this study. These eligible articles were divided based on the analysis targets as follows: (1) face and/or body, (2) eye, and (3) forearm and/or hand. Artificial intelligence, including convolutional neural networks, contributed to the progress of research on contactless personal identification methods. Conclusions This study clarified that contactless personal identification methods using artificial intelligence have progressed and that they have used information obtained from the face and/or body, eyes, and forearm and/or hand.

Possibilities and challenges in digital personal identification using teledentistry based on integration of telecommunication and dental information: a narrative review

“… 33 This has strained ties between relatives and also between residents of local communities. 34 , 35 This will lead to an increase in the number of unidentified bodies and missing individuals in the future. 35 In our opinion, it is important in this situation to construct a database of dental images and records obtained during routine dental check-ups as a social service to be used in digital PI method.…”

“… 34 , 35 This will lead to an increase in the number of unidentified bodies and missing individuals in the future. 35 In our opinion, it is important in this situation to construct a database of dental images and records obtained during routine dental check-ups as a social service to be used in digital PI method. 35 This might be one of the few ways without ethical issues to obtain valid data for PI.…”

“… 35 In our opinion, it is important in this situation to construct a database of dental images and records obtained during routine dental check-ups as a social service to be used in digital PI method. 35 This might be one of the few ways without ethical issues to obtain valid data for PI. Preliminarily, stake-holders including researchers and politicians should strive to improve the accuracy of PI systems that use dental evidence, reach consensus on how to handle dental records and determine the method of getting informed consent from individuals (from parents or caregivers in cases of minors) to be registered in the database based on dental records.…”

“…Preliminarily, stake-holders including researchers and politicians should strive to improve the accuracy of PI systems that use dental evidence, reach consensus on how to handle dental records and determine the method of getting informed consent from individuals (from parents or caregivers in cases of minors) to be registered in the database based on dental records. 35 …”

Artificial Intelligence in Forensic Medicine and Toxicology: The Future of Forensic Medicine

“…When a machine is provided with the input of various body parameters like facial features, retinal patterns, and fingerprints, the machine will store this data electronically. By using these parameters of individuals, which are already stored electronically in the machine, the machine can establish the identity of individuals by using AI [ 7 , 8 ]. Fingerprint data is already being used widely for this purpose for marking the attendance of students at education institutes and the attendance of employees at corporate offices.…”