Abstract—In the process of creating an Augmented Reality
(AR) system, there are various Augmented Reality Software
Development Kits (AR SDK) available for development. Each
AR SDK has different features. Therefore, a study has to be
performed about which AR SDK is appropriate for
implementation. This paper focuses on an AR system for
Forensic Medicine education in Thailand, where drowning is
one of the main causes of death. With the aim of a comparative
study and selection, the AR SDK type suitable for use in
creating an AR system for teaching Forensic Medicine is
selected. The traditional teaching and learning method was
studied. There were general requirements of SDKs which are
recognition of objects in both 2D and 3D, recognition stability of
immovable and movable markers, and supporting platforms
both Android and iOS. It was found that Vuforia is an AR SDK
suitable for use in Forensic Medicine education. Studying and
comparing the various Vuforia feature types resulted in the
image target and model target as appropriate methods for
Forensic Medicine education in the case of investigating
Index Terms—AR technology, SDK, drowning, forensic study, criminal procedural law, crime.
K. Tongprasom and W. Boongsood are with the School of Manufacturing Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand (e-mail: email@example.com, firstname.lastname@example.org).
W. Boongsood is with Thammasat University Hospital, Pathum Thani, 12120, Thailand (e-mail: email@example.com).
T. Pipatchotitham is with the Faculty of Medicine, Thammasat University, Pathum Thani, 12120, Thailand (e-mail: firstname.lastname@example.org).
Cite: Krittiyaporn Tongprasom, Wanwanut Boongsood, Woramon Boongsood, and Tossanai Pipatchotitham, "Comparative Study of an Augmented Reality Software Development Kit Suitable for Forensic Medicine Education," International Journal of Information and Education Technology vol. 11, no. 1, pp. 10-15, 2021.Copyright © 2021 by the authors. 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 (CC BY 4.0).