1 Nociones Fundamentales de Derecho Ambiental 18
1.3 Concepto 30
know how to integrate the ARSG in the production line, maintain, and replace them when they become outdated. This requires that ARSG follows standards that makes them compatible with the surrounding infrastructure. A challenge in the current ARSG market is the great di- versity in hardware specifications, with large variance of weight, FOV, and battery time it can be a challenge to handle the differences. If multiple types of ARSG are bought there could be a significant variance in their capabilities that needs to be considered.
This survey presents current research and market data regarding ARSG and relates the findings to industrial application. The contribution this can lead to is both a deep and broad understanding of the current state as well as future challenges for ARSG implementation into the industrial shop floor as an operator support tool.
This survey has focused on the technical and manufacturing engi- neering perspective of ARSG as support for operators in the industrial shop floor. The operators’ perspective with aspects such as ergonomics is an important perspective that is connected to the two perspectives explored in this survey, as described in [9] but have been left out due to the scope of this particular survey. A survey or literature review
Table 4
Summary of findings in technological maturity perspective.
Technological maturity perspective
Topic Current status Future challenges Technological
demands ••Larger FOV needed Stronger batteries or less battery consumption needed
•Reevaluating demands once ARSG becomes integrated in the manufacturing industry Enabling
Technology Technological level: •SG TRL 9 •AR displays TRL 7 •Tracking, interaction, and
UI TRL 5 •Improve individual components •Industrial adaptation FOV: •FOV of 52 degrees diagonally commercially available (100 experimentally)
•Further improving FOV in ARSG
Battery:
•Capacity varies greatly in available ARSG
•Further improve battery capacity and battery usage ARSG •Emerging market
•Few strong actors taking lead
•Improve battery life •Reduce price •Reduce weight •Increase FOV Tracking •Bluetooth and RFID
suitable and synergy is possible
•IMU MEMS sensors can improve visual tracking
•Implementing Bluetooth and RFID infrastructure •MEMS sensors accuracy is
lower
•Reduce magnetometer sensitivity to noise
Journal of Industrial Information Integration 20 (2020) 100175
Author’s contributions
All authors have contributed significantly to the planning, editing, writing, and information gathering for this article.
Funding
This article has been partially supported by the SYMBIO-TIC project (H2020 grant number 637107). The project had no direct involvement in the submission of this article.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
The authors would like to extend their gratitude to Professor Philip Moore for his invaluable feedback on the contents and format of this article.
References
[1] M. Holm, G. Adamson, P. Moore, L. Wang, Why I want to be a future Swedish shop- floor operator, Procedia CIRP 41 (2016) 1101–1106, https://doi.org/10.1016/j. procir.2015.12.057.
[2] M. Holm, The future shop-floor operators, demands, requirements and interpretations, J. Manuf. Syst. 47 (2018) 35–42, https://doi.org/10.1016/j. jmsy.2018.03.004.
[3] X. Ye, S.H. Hong, Toward industry 4.0 components: insights into and implementation of asset administration shells, IEEE Ind. Electron. Mag. 13 (1) (2019) 13–25, https://doi.org/10.1109/MIE.2019.2893397.
[4] J. Cheng, W. Chen, F. Tao, C.-.L. Lin, Industrial IoT in 5G environment towards smart manufacturing, J. Ind. Inf. Integ. 10 (2018) 10–19, https://doi.org/10.1016/ j.jii.2018.04.001.
[5] M. Billinghurst, A. Clark, G. Lee, A survey of augmented reality, Found. Trends Hum.-Comput. Interact. 8 (2–3) (2015) 73–272, https://doi.org/10.1561/ 1100000049.
[6] A. Syberfeldt, O. Danielsson, P. Gustavsson, Augmented reality smart glasses in the smart factory: product evaluation guidelines and review of available products, IEEE Access (2017), https://doi.org/10.1109/ACCESS.2017.2703952.
[7] J. Jetter, J. Eimecke, A. Rese, Augmented reality tools for industrial applications: what are potential key performance indicators and who benefits? Comput. Hum. Behav. 87 (2018) 18–33, https://doi.org/10.1016/j.chb.2018.04.054. [8] M. Quandt, B. Knoke, C. Gorldt, M. Freitag, K.-.D. Thoben, General requirements
for industrial augmented reality applications, Procedia CIRP 72 (2018) 1130–1135,
https://doi.org/10.1016/j.procir.2018.03.061.
[9] O. Danielsson, M. Holm, A. Syberfeldt, Augmented reality smart glasses for industrial assembly operators: a meta-analysis and categorization, in: Proceedings of the 17th International Conference on Manufacturing Research, Advances in Manufacturing Technology XXXIII: incorporating the 34th National Conference on Manufacturing Research, 10-12 September 2019, Queen’s University, Belfast, 2019, pp. 173–179, https://doi.org/10.3233/ATDE190031. IOS Press. [10] J. Shook, C. Marchwinski, Lean Lexicon: a Graphical Glossary For Lean Thinkers,
Lean Enterprise Institute, 2014.
[11] E. Bottani, G. Vignali, Augmented reality technology in the manufacturing industry: a review of the last decade, IISE Trans. 51 (3) (2019) 284–310, https://
doi.org/10.1080/24725854.2018.1493244.
[12] O. Bimber, R. Raskar, Modern approaches to augmented reality. ACM SIGGRAPH 2006 Courses, ACM, 2006, https://doi.org/10.1145/1185657.1185796, pp. 1. [13] J. Peddie, Technology Issues, Springer, 2017, pp. 183–289.
[14] A.E. Uva, M. Gattullo, V.M. Manghisi, D. Spagnulo, G.L. Cascella, M. Fiorentino, Evaluating the effectiveness of spatial augmented reality in smart manufacturing: a solution for manual working stations, Int. J. Adv. Manuf. Technol. (2017) 1–13,
https://doi.org/10.1007/s00170-017-0846-4.
[15] P.A. Rauschnabel, A. Brem, Y. Ro, Augmented Reality Smart glasses: definition, Conceptual insights, and Managerial Importance, The University of Michigan- Dearborn, College of Business, 2015. Unpublished Working Paper.
[16] D. Hein, W. E., J. Jodoin, L. P.A, Rauschnabel, B. Ivens, Are Wearables Good Or Bad For Society?: An Exploration of Societal Benefits, Risks, and Consequences of Augmented Reality Smart Glasses, IGI Global, 2017, pp. 1–25, https://doi.org/ 10.4018/978-1-5225-2110-5.ch001.
[17] J. Lin, D. Cheng, C. Yao, Y. Wang, Retinal projection head-mounted display, Front. Optoelectron. 10 (1) (2017) 1–8, https://doi.org/10.1007/s12200-016-0662-8.
[18] D.M. Krum, E.A. Suma, M. Bolas, Augmented reality using personal projection and retroreflection, Pers. Ubiquitous Comput. 16 (1) (2012) 17–26, https://doi.org/ 10.1007/s00779-011-0374-4.
[19] G. Westerfield, A. Mitrovic, M. Billinghurst, Intelligent augmented reality training for motherboard assembly, Int. J. Artif. Intell. Educ. 25 (1) (2015) 157–172,
https://doi.org/10.1007/s40593-014-0032-x.
[20] J. Yuan, B. Mansouri, J. Pettey, S. Ahmed, S. Khaderi, The visual effects associated with head-mounted displays, Int. J. Ophthalmol. Clin. Res. 5 (2018) 085, https://
doi.org/10.23937/2378-346X/141008.
[21] A. Bocevska, Z. Kotevski, Implementation of interactive augmented reality in 3D assembly design presentation, Int. J. Comput.Sci. Inf. Technol. 9 (2) (2017) 141–149, https://doi.org/10.5121/ijcsit.2017.9213.
[22] J.A. Erkoyuncu, I.F. del Amo, M. Dalle Mura, R. Roy, G. Dini, Improving efficiency of industrial maintenance with context aware adaptive authoring in augmented reality, CIRP Ann. 66 (1) (2017) 465–468, https://doi.org/10.1016/j. cirp.2017.04.006.
[23] T.-.A. Pham, Y. Xiao, Unsupervised Workflow Extraction from First-Person Video of Mechanical Assembly, in: Proceedings of the 19th International Workshop on Mobile Computing Systems & Applications, 2018, pp. 31–36, https://doi.org/
10.1145/3177102.3177112. ACM.
[24] J. Gimeno, P. Tena, J.M. Orduna, M. Fern´andez, An Advanced Authoring Tool for Augmented Reality Applications in Industry, Actas de Las XXIII Jornadas de Paralelismo (JP 2012), Elche: Servicio de Publicaciones de la Universidad Miguel Hern´andez, 2012.
[25] D. Mourtzis, E. Vlachou, V. Zogopoulos, X. Fotini, Integrated production and maintenance scheduling through machine monitoring and augmented reality: an Industry 4.0 approach, in: IFIP International Conference on Advances in Production Management Systems, Springer, 2017, pp. 354–362, https://doi.org/ 10.1007/978-3-319-66923-6_42.
[26] K.N. Kaipa, C.W. Morato, J. Liu, S.K. Gupta, Toward Automated Generation of Multimodal Assembly Instructions for Human Operators, Springer, 2018, pp. 885–897, https://doi.org/10.1007/978-3-319-62217-0_62.
[27] G. Reisinger, T. Komenda, P. Hold, W. Sihn, A concept towards automated data- driven reconfiguration of digital assistance systems, Procedia Manuf. 23 (2018) 99–104, https://doi.org/10.1016/j.promfg.2018.03.168.
[28] PTC, Innovate With Industrial Augmented Reality, (2019), https://www.ptc.com/e n/technologies/augmented-reality (accessed 15 October 2019).
[29] M. Campbell, S. Kelly, J. Lang, D. Immerman, The State of Industrial Augmented Reality, PTC, White Paper, 2019.
[30] V. Paelke, Augmented reality in the smart factory: supporting workers in an industry 4.0. environment, in: Proceedings of the Emerging Technology and Factory Automation (ETFA), 2014 IEEE, IEEE, 2014, pp. 1–4.
[31] A. Yew, S. Ong, A. Nee, Towards a griddable distributed manufacturing system with augmented reality interfaces, Robot. Comput. Integr. Manuf. 39 (2016) 43–55, https://doi.org/10.1016/j.rcim.2015.12.002.
[32] S. Li, L. Da Xu, S. Zhao, 5G Internet of Things: a survey, J. Ind. Inf. Integr. 10 (2018) 1–9, https://doi.org/10.1016/j.jii.2018.01.005.
[33] R. Palmarini, J.A. Erkoyuncu, R. Roy, An innovative process to select Augmented Reality (AR) technology for maintenance, Procedia CIRP 59 (2017) 23–28, https:// doi.org/10.1016/j.procir.2016.10.001.
[34] V. Chimienti, S. Iliano, M. Dassisti, G. Dini, F. Failli, Guidelines for implementing augmented reality procedures in assisting assembly operations, in: Proceedings of the International Precision Assembly Seminar, Springer, 2010, pp. 174–179,
https://doi.org/10.1007/978-3-642-11598-1_20.
[35] V. Paelke, C. R¨ocker, J. Bulk, A test platform for the evaluation of augmented reality head mounted displays in industrial applications, in: Proceedings of the International Conference on Applied Human Factors and Ergonomics, Springer, 2018, pp. 25–35, https://doi.org/10.1007/978-3-319-94196-7_3.
[36] M. Juraschek, L. Büth, G. Posselt, C. Herrmann, Mixed reality in learning factories, Procedia Manuf. 23 (2018) 153–158, https://doi.org/10.1016/j.
promfg.2018.04.009.
[37] M. Hennig, G. Reisinger, T. Trautner, P. Hold, D. Gerhard, A. Mazak, TU Wien Pilot Factory Industry 4.0, Procedia Manufacturing 31 (2019) 200–205, https://doi.org/ 10.1016/j.promfg.2019.03.032.
[38] T. Ji, L. Wu, S. Liao, Research on technology and standards of augmented reality- based auxiliary maintenance, in: Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), IEEE, 2019, pp. 756–761.
[39] X. Wang, S. Ong, A. Nee, A comprehensive survey of augmented reality assembly research, Advances in Manufacturing 4 (1) (2016) 1–22, https://doi.org/10.1007/ s40436-015-0131-4.
[40] S. Werrlich, Augmented reality for engine assembly workstations: a human- centered design, Proceedings of the 16th International Conference on Knowledge Technologies and Data-driven Business (iKNOW), 2016.
[41] X. Wang, S. Ong, A. Nee, A comprehensive survey of ubiquitous manufacturing research, Int. J. Prod. Res. 56 (1–2) (2018) 604–628, https://doi.org/10.1080/
00207543.2017.1413259.
[42] T. Masood and J. Egger, Augmented reality in support of Industry
4.0—Implementation challenges and success factors, Robot. Comput.-Integ. Manuf. 58 (2019) 181–195.
[43] F.J. Lacueva-P´erez, J. Khakurel, P. Brandl, L. Hannola, M. ´A. Gracia-Bandr´es, M. Schafler, Assessing TRL of HCI technologies supporting shop floor workersProceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, ACM (2018) 311–318, https://doi.org/10.1145/ 3197768.3203175.
Journal of Industrial Information Integration 20 (2020) 100175
[44] M.R. Salvador, R.L. Nicol´as, R.M.R. Belver, A.R. Andara, Lessons Learned in Assessment of Technology Maturity, Springer, 2019, pp. 103–110.
[45] K. Harrison, J. White, P. Rivera, T. Giovinco, J. Jurado and V. Mittal, Aligning Needs, Technologies, and Resources for Special Operations, Proceedings of the Annual General Donald R. Keith Memorial Conference, West Point, New York, USA, May 2, 2019.
[46] M. Eckert, J.S. Volmerg, C.M. Friedrich, Augmented reality in medicine: systematic and bibliographic review, JMIR Mhealth Uhealth 7 (4) (2019) e10967. [47] Z. Chen, L. Jiang, W. Hu, K. Ha, B. Amos, P. Pillai, A. Hauptmann,
M. Satyanarayanan, Early implementation experience with wearable cognitive assistance applicationsProceedings of the 2015 workshop on Wearable Systems and Applications, ACM (2015) 33–38, https://doi.org/10.1145/2753509.2753517. [48] J. Um, J. Popper, M. Ruskowski, Modular augmented reality platform for smart
operator in production environment, in: Proceedings of the 2018 IEEE Industrial Cyber-Physical Systems (ICPS), IEEE, 2018, pp. 720–725, https://doi.org/
10.1109/ICPHYS.2018.8390796.
[49] A. Szajna, J. Szajna, R. Stryjski, J. Basl, J. Brodny, New way of monitoring of the production environment with application of augmented reality and artificial intelligence, Multidiscip. Aspects Prod. Eng. 1 (1) (2018) 307–313, https://doi.
org/10.2478/mape-2018-0039.
[50] J. Sardegna, S. Shelly, A.R. Rutzen, S.M. Steidl, The Encyclopedia of Blindness and Vision Impairment, Infobase Publishing, 2002.
[51] A. Guyton, J. Hall, Textbook of Medical Physiology, 11thEdn, Elsiever Saunders, 2006, pp. 1–1116.
[52] D. Dunn, C. Tippets, K. Torell, H. Fuchs, P. Kellnhofer, K. Myszkowski, P. Didyk, K. Aks¸it, D. Luebke, A.R. Membrane, varifocal, wide field of view augmented reality display from deformable membranes. ACM SIGGRAPH 2017 Emerging Technologies, ACM, 2017, p. 15, https://doi.org/10.1145/3084822.3084846. [53] N.M. Kumar, N.K. Singh, V. Peddiny, Wearable Smart Glass, Features, applications,
current progress and challenges, Meta 10 (2018) 12.
[54] D. Fang, H. Xu, X. Yang, M. Bian, An augmented reality-based method for remote collaborative real-time assistance: from a system perspective, Mob. Netw. Appl. (2019), https://doi.org/10.1007/s11036-019-01244-4.
[55] R.T. Azuma, A survey of augmented reality, presence, Teleoperators Virtual Environ. 6 (4) (1997) 355–385, https://doi.org/10.1162/pres.1997.6.4.355. [56] D. Chatzopoulos, C. Bermejo, Z. Huang, P. Hui, Mobile augmented reality survey:
from where we are to where we go, IEEE Access 5 (2017) 6917–6950, https://doi.
org/10.1109/ACCESS.2017.2698164.
[57] R. Joshi, A. Hiwale, S. Birajdar, R. Gound, Indoor Navigation with Augmented Reality, Springer, 2020, pp. 159–165, https://doi.org/10.1007/978-981-13-8715- 9_20.
[58] S. DiVerdi, T. Hollerer, Groundcam: a tracking modality for mobile mixed reality, in: Proceedings of the 2007 IEEE Virtual Reality Conference, IEEE, 2007, pp. 75–82, https://doi.org/10.1109/VR.2007.352466.
[59] L. Pei, R. Chen, J. Liu, H. Kuusniemi, T. Tenhunen, Y. Chen, Using inquiry-based Bluetooth RSSI probability distributions for indoor positioning, Journal of Global Positioning Systems 9 (2) (2010) 122–130, https://doi.org/10.5081/jgps.9.2.122. [60] C.-.Y. Tsai, K.-.H. Hsu, An application of using bluetooth indoor positioning, image
recognition and augmented reality, in: Proceedings of the 2016 IEEE 13th International Conference on e-Business Engineering (ICEBE), IEEE, 2016, pp. 276–281, https://doi.org/10.1109/ICEBE.2016.054.
[61] K.E. Jeon, J. She, P. Soonsawad, P.C. Ng, BLE beacons for Internet of Things applications: survey, challenges, and opportunities, IEEE Internet of Things J. 5 (2) (2018) 811–828, https://doi.org/10.1109/JIOT.2017.2788449.
[62] B. Weichelt, A. Yoder, C. Bendixsen, M. Pilz, G. Minor, M. Keifer, Augmented reality farm MAPPER development: lessons learned from an app designed to improve rural emergency response, J. Agromed. 23 (3) (2018) 284–296, https://
doi.org/10.1080/1059924X.2018.1470051.
[63] E. Urtans and A. Nikitenko, Active infrared markers for augmented and virtual reality, Markers 9 (2016) 10.
[64] P. Echt, Smart Infrared Cameras for Industry 4.0: a new technological approach for increased productivity and product quality, Photon.Views 16 (2) (2019) 50–55,
https://doi.org/10.1002/phvs.201900014.
[65] G. Gogolin, E. Gogolin, The use of embedded mobile, rfid, location based services, and augmented reality in mobile applications, International Journal of Handheld Computing Research (IJHCR) 8 (1) (2017) 42–52, https://doi.org/10.4018/ IJHCR.2017010104.
[66] J. Sun, L. Xie, Q. Cai, C. Wang, J. Wu, S. Lu, RF-ISee: identify and distinguish multiple RFID tagged objects in augmented reality systems, in: Proceedings of the 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS), IEEE, 2016, pp. 723–724, https://doi.org/10.1109/ICDCS.2016.29. [67] I. Mircheski, T. Rizov, Nondestructive disassembly process of technical device
supported with augmented reality and RFID technology, Acta Technica Corviniensis-Bull. Eng. 11 (2) (2018) 39–43.
[68] Y. Zhang, Y. Shen, W. Zhang, Z. Zhu, P. Ma, Design of an interactive spatial augmented reality system for stage performance based on UWB positioning and wireless triggering technology, Appl. Sci. 9 (7) (2019) 1318, https://doi.org/ 10.3390/app9071318.
[69] G. Lu, J. Song, 3D image-based indoor localization joint with WiFi positioning, in: Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, ACM, 2018, pp. 465–472, https://doi.org/10.1145/3206025.3206070. [70] R.H. Venkatnarayan, M. Shahzad, Enhancing indoor inertial odometry with WiFi,
in: Proceedings of the ACM Interactive Mobile Wearable Ubiquitous Technologies 3, 2019, pp. 1–27, https://doi.org/10.1145/3328918.
[71] M. del Rosario, S. Redmond, N. Lovell, Tracking the evolution of smartphone sensing for monitoring human movement, Sensors 15 (8) (2015) 18901–18933,
https://doi.org/10.3390/s150818901.
[72] Y. Sheng-lun, S. Ting-li, J. Xue-bo, Improved smartphone-based indoor localization via drift estimation for accelerometer, in: Proceedings of the 2017 IEEE International Conference on Unmanned Systems (ICUS), IEEE, 2017, pp. 379–383,
https://doi.org/10.1109/ICUS.2017.8278373.
[73] E. Artemciukas, L. Sakalauskas, E. Zulkas, Kalman filter for hybrid tracking technique in augmented reality, Elektronika ir Elektrotechnika 22 (6) (2016) 73–79, https://doi.org/10.5755/j01.eie.22.6.17228.
[74] P. Vaníˇcek, R. Kingdon, Gravimetry, Elsevier, 2015, https://doi.org/10.1016/ B978-0-12-409548-9.09145-4.
[75] A. D’Alessandro, S. Scudero, G. Vitale, A Review of the Capacitive MEMS for Seismology, Sensors 19 (14) (2019) 3093, https://doi.org/10.3390/s19143093. [76] V. Passaro, A. Cuccovillo, L. Vaiani, M. De Carlo, C.E. Campanella, Gyroscope
technology and applications: a review in the industrial perspective, Sensors 17 (10) (2017) 2284, https://doi.org/10.3390/s17102284.
[77] Y. Bai, Q. Bai, 4 - Subsea Surveying, Positioning, and Foundation, Gulf Professional Publishing, 2019, pp. 81–121, https://doi.org/10.1016/B978-0-12-812622- 6.00004-X.
[78] Y. Cai, Y. Zhao, X. Ding, J. Fennelly, Magnetometer basics for mobile phone applications, Electron. Prod. 54 (2) (2012).
[79] M. Kahr, M. Stifter, H. Steiner, W. Hortschitz, G. Kov´acs, A. Kainz, J. Schalko, F. Keplinger, Dual resonator MEMS magnetic field gradiometer, Sensors 19 (3) (2019) 493, https://doi.org/10.3390/s19030493.
[80] E. Ramsden, Chapter 1 - Hall-Effect Physics, Newnes (2006) 1–10, https://doi.org/
10.1016/B978-075067934-3/50002-8.
[81] H. Wang, R. Madson, R. Rajamani, Electromagnetic Position Measurement System Immune to Ferromagnetic Disturbances, IEEE Sensors Journal, 2019, https://doi.
org/10.1109/JSEN.2019.2929229.
[82] H. Krause, G.I. Panaitov, N. Wolters, D. Lomparski, W. Zander, Z. Yi,
E. Oberdoerffer, D. Wollersheim, W. Wilke, Detection of magnetic contaminations in industrial products using HTS SQUIDs, IEEE Trans. Appl. Supercond. 15 (2) (2005) 729–732, https://doi.org/10.1109/TASC.2005.850027.
[83] A. Sheinker, B. Ginzburg, N. Salomonski, L. Frumkis, B.-.Z. Kaplan, M.B. Moldwin, A method for indoor navigation based on magnetic beacons using smartphones and tablets, Measurement 81 (2016) 197–209, https://doi.org/10.1016/j.
measurement.2015.12.023.
[84] M. Alahmadi, J. Yang, Towards efficient mobile augmented reality in indoor environments, in: Proceedings of the International Conference on AI and Mobile Services, Springer, 2018, pp. 106–122, https://doi.org/10.1007/978-3-319-94361- 9_9.
[85] Y. Wang, S. Zhang, S. Yang, W. He, X. Bai, Mechanical assembly assistance using marker-less augmented reality system, Assembly Autom. 38 (1) (2018) 77–87,
https://doi.org/10.1108/AA-11-2016-152.
[86] H. Belghit, A. Bellarbi, N. Zenati, S. Otmane, Vision-based pose estimation for augmented reality: a comparison study, arXiv preprint (2018). arXiv:1806.09316. [87] S. Siltanen, Theory and Applications of Marker-Based Augmented Reality, VTT,
2012, pp. 1–198.
[88] R. Palmarini, J.A. Erkoyuncu, R. Roy, H. Torabmostaedi, A systematic review of augmented reality applications in maintenance, Robot. Comput. Integr. Manuf. 49 (2018) 215–228, https://doi.org/10.1016/j.rcim.2017.06.002.
[89] N. Adam, D. Purnamasari, A. Ibrahim, Implementation of object tracking augmented reality markerless using FAST corner detection on user defined- extended target tracking in multivarious intensities, J. Phys. Conf. Ser. (2019), 012041, https://doi.org/10.1088/1742-6596/1201/1/012041. IOP Publishing. [90] R. Radkowski, J. Herrema, J. Oliver, Augmented reality-based manual assembly
support with visual features for different degrees of difficulty, Int. J. Hum. Comput. Interact. 31 (5) (2015) 337–349, https://doi.org/10.1080/
10447318.2014.994194.
[91] D. Plinta, M. Krajˇcoviˇc, Application of the augmented reality in production practice, Appl. Comput. Sci. 13 (2) (2017).