Barriers to Adoption of AR-assisted Inspection for Quality and Compliance

Real world conditions must be compared with the agreed or defined compliance targets in many industries. In the future, any discrepancies detected through machine learning or artificial intelligence algorithms trained on compliant samples, could automatically show those discrepancies to the user in AR view.

Inspection use cases are not as widely implemented as step-by-step instruction delivery (task guidance) remote assistance and training. Companies with AR deployments in other use case categories could increase their ROI on AR investments if they were to expand their support for AR-assisted inspections. Providers of technologies need greater insights into inspection requirements and industries that perform inspections before work continues or, for compliance purposes, require inspections to be documented.

Stakeholders

Business and production managers in any industry where inspections are performed for review and confirmation of meeting any quality and/or safety policies, Safety managers, compliance managers, quality managers

Possible Methodologies

Interviews with business and production managers in any industry where inspections are performed for review and confirmation of meeting any quality and/or safety policies, safety managers, compliance managers, quality managers will need to be conducted and their KPIs documented. In parallel, existing ML or AI techniques will need to be extended or new data sets for training created for use with AR technologies for capture and vision-based objective analysis of real world conditions. When real world conditions diverge from the compliance goal, any discrepancies will automatically be presented to the user in AR view. Following development of test methodologies, results will be validated by compliance specialists. End user acceptance and user experience will also be studied through feedback from users in interviews and surveys following use of the inspection use case in controlled environments.

Research Program

This topic or theme of research overlaps with the topic of using AR for automatically detecting workplace safety compliance. Automatic assessments of the workplace could also provide alerts when supplies are needed or maintenance scheduled. The same research topic could be combined with study of user interfaces and interaction paradigms for emergency response use cases.

Miscellaneous Notes

This topic was submitted for 9th AREA research projects and received high support.

Keywords

Inspection, quality, safety, compliance, policy, use cases, quality control, quality management, inspection, defects, fault detection, measurement, nondestructive examination, nondestructive testing, process monitoring, product quality, quality assurance, testing

Research Agenda Categories

Industries, Use Cases

Expected Impact Timeframe

Medium

Related Publications

Using the words in this topic description and Natural Language Processing analysis of publications in the AREA FindAR database, the references below have the highest number of matches with this topic:

• Knierim, P., Wo?niak, P. W., Abdelrahman, Y., & Schmidt, A. (2019). Exploring the Potential of Augmented Reality in Domestic Environments. Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services.
• Alqahtani, H., & Kavakli, M. (2017). A theoretical model to measure user’s behavioural intention to use iMAP-CampUS app. 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).
• Babu, N. S. C. (2017). Keynote 1: Internet of Things(IoT) and augmented reality for e-learning. 2017 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH).
• Pringle, A., Hutka, S., Mom, J., van Esch, R., Heffernan, N., & Chen, P. (2019). Ethnographic study of a commercially available augmented reality HMD app for industry work instruction. Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments.
• Thomas, D., & Holmquist, L. E. (2020). WristAR: A Wrist-Mounted Augmented Reality Interface. 19th International Conference on Mobile and Ubiquitous Multimedia.

More publications can be explored using the AREA FindAR research tool.

Author

Christine Perey

Last Published (yyyy-mm-dd)

2021-08-31

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