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Adriana Cárdenas-Robledo L, Hernández-Uribe Ó, Reta C, Antonio Cantoral-Ceballos J. Extended reality applications in industry 4.0. – A systematic literature review. Telematics and Informatics 2022. [DOI: 10.1016/j.tele.2022.101863] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Chouchene A, Ventura Carvalho A, Charrua-santos F, Barhoumi W. Augmented Reality-Based Framework Supporting Visual Inspection for Automotive Industry. ASI 2022; 5:48. [DOI: 10.3390/asi5030048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Visual inspection, inside an industrial environment, has attracted considerable research attention, in terms of its relation to improving productivity and its impact on building the Industry 4.0. One of the pillars of Industry 4.0 is the Augmented Reality (AR) technology, given its beneficiary for several tasks such as maintenance, assembly, and inspection. Nevertheless, such a data presenter tool essentially relies on the data collected from other modules. A keynote technology for data collecting, storing, and exploitation is the Industrial Internet of Things (IIoT) platform. In this context, this paper proposes an innovative framework in a real case-study industry. The proposed solution supports visual inspection, relying on AR to present the data and IIoT to collect it from the production line. User acceptance tests and feedback reflect the accuracy and effectiveness of the proposed system, especially when using Hand-Held Devices (HHD).
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