Page 120 - Kaleidoscope Academic Conference Proceedings 2022

2022 ITU Kaleidoscope Academic Conference

Apple and Google are the two mobile technology giants that 2. RELATED WORK
dominate the mobile operating system sector [10] as shown
in Figure 3. Apple provides iOS for its mobile smartphone This section discusses some of the previous research efforts
counterparts, and Google provides the Android OS for an that relate to the comparison between the ARKit and ARCore
entire range of different smartphone manufacturers. These frameworks for diverse computing applications.
giants each developed frameworks which cater for
augmented reality functionalities such as AR face tracking, P. Nowacki et al., [17] explored the potential of ARCore and
mapping, just to mention a few [11], [12]. Google offers ARKit platforms for AR/VR applications. The objective of
ARCore while Apple offers ARKit, both frameworks have their study was to evaluate the capabilities of ARKit and
the same goal but may not necessarily always achieve the ARCore and help in choosing the right framework to speed
same level of accuracy and reliability in certain applications. up prototyping and development of modern AR/VR
It is important to note that the impact of AR accuracy applications. General performance in terms of CPU/memory
measurements may be graver in certain domains than others. usage as well as mapping quality were the major criteria
For instance, in crime investigation and forensic science examined. Their work however did not describe trends of
where critical decisions and court verdicts are based on other AR/VR frameworks, but rather focused on two main
evidence gathered from a crime scene, as opposed to technologies, which are ARKit and ARCore. This paper also
advertisement, where the goal could just be to display the did not look at the accuracy derived from AR calculations
existence and desirable features of an object. conducted over ARKit and ARCore.

Z. Oufqir et al., [18] present a study which implements and
concretizes the different functionalities available in
augmented reality to enrich the real world with additional
information. The objective of their study was to evaluate the
capabilities of the two libraries ARKit and ARCore and their
capability in the development of augmented reality
applications.

R. Cervenak et al., [11] in their work, present the possibilities
of indoor space mapping and user movement tracking using
augmented reality technologies. The objective of their study
was to evaluate the possibility of the use of ARKit and
ARCore to analyze movement in space without using other
navigation technologies. Emphasis is placed on optimizing
the algorithms created to track device position in space.
Figure 3 – Mobile operating systems globally [10]
J. Borduas et al., [12] present a study which compares the
One of the roles played by a crime scene investigator is to reliability of four mobile 3D scanning technologies and
capture accurate and reliable crime data at a rapid pace, provides insight and recommendations as to which of these
without the risk of contaminating a scene [13]. Forensic data are sufficiently reliable for the customization of respiratory
collection encompasses a wide field such as post-mortem full face masks. The objective of the study is to compare the
body documentations [14], blood spatter analysis [15], reliability of ARCore: Augmented Faces SDK, ARKit: Face
footwear analysis [16], to mention a few. The use of a Global Tracking SDK, ScandyPro app using the raw information of
Positioning System (GPS) for accurate indoor mapping and the TrueDepth Structured Light sensor and the 3DSizeMe
traditional data capturing methods may not be sufficient for app using the Structure Sensor by Occipital.
the given tasks. In this paper, we compare the accuracy and
reliability between two frameworks which aim to provide H. Fabrício et al., [19] presents a comparative analysis of
accurate augmentation measurements which could be augmented reality frameworks aimed at the development of
beneficial for forensic investigators. There is limited educational applications. The objective of the study is to
research that has investigated the comparison between compare the characteristics of existing frameworks that may
ARKit and ARCore, in particular the accuracy of the AR allow the development of educational solutions using
measurements achieved by these frameworks. This has augmented reality resources, focusing on tools that enable
motivated the need for this paper. the conception, design, and implementation of mobile
applications.
The remainder of this paper is structured as follows: Section
2 presents related research and further justifies the novelty of While the aforementioned research efforts have done some
our research. Section 3 presents the research methodology. work on exploring and comparing ARCore and ARKit
Results are presented in Section 4, while Section 5 concludes frameworks, none of these efforts have been on the accuracy
the paper and provides future recommendations. of augmented reality measurements as presented in the
current research.

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