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dc.contributor.authorSimonetto, Marco
dc.contributor.authorPeron, Mirco
dc.contributor.authorFragapane, Giuseppe
dc.contributor.authorSgarbossa, Fabio
dc.date.accessioned2021-02-23T11:50:19Z
dc.date.available2021-02-23T11:50:19Z
dc.date.created2021-02-01T11:09:45Z
dc.date.issued2021
dc.identifier.isbn9789813363175
dc.identifier.urihttps://hdl.handle.net/11250/2729767
dc.description.abstractAutomation has increased more and more in manufacturing companies over the last decades. However, manual labor is still used in a variety of complex tasks and is currently irreplaceable, especially in assembly operations. Assisting and supporting the human worker during potentially complex assembly tasks is very relevant. Clear and easy-to-read assembly instructions, error-proofing methods, and an intuitive user interface for the worker have the potential to not only reduce the cognitive workload of the operator but also increase the productivity, improve the quality, reduce defects, and consequently reduce costs. Industry 4.0 technologies, in particular Augmented Reality and motion recognition sensors, can help companies in reaching these goals. However, there are currently only a few works that show how to implement these technologies with real case studies, especially with the Projected Augmented Reality (PAR). This is the reason why, in this paper an example of prototype of a smart workstation equipped with a Kinect-projector assistance system for manual assembly is presented.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofAdvanced Manufacturing and Automation X
dc.titleDigital Assembly Assistance System in Industry 4.0 Era: A Case Study with Projected Augmented Realityen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doi10.1007/978-981-33-6318-2_80
dc.identifier.cristin1884868
dc.description.localcode"This is a post-peer-review, pre-copyedit version of an article. Locked until 23.1.2022 due to copyright restrictions. The final authenticated version is available online at:http://dx.doi.org/10.1007/978-981-33-6318-2_80en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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