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dc.contributor.authorMason, Alex
dc.contributor.authorRomanov, Dmytro
dc.contributor.authorCordova-Lopez, Luis Eduardo
dc.contributor.authorRoss, Steven
dc.contributor.authorKorostynska, Olga
dc.date.accessioned2023-04-03T12:12:34Z
dc.date.available2023-04-03T12:12:34Z
dc.date.created2022-01-14T14:31:13Z
dc.date.issued2022
dc.identifier.citationSensor Review. 2022, 42 (1), 155-163.
dc.identifier.issn0260-2288
dc.identifier.urihttps://hdl.handle.net/11250/3061837
dc.description.abstractPurpose Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined. Design/methodology/approach This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife. Findings Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability. Originality/value This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.
dc.description.abstractSmart knife: technological advances towards smart cutting tools in meat industry automation
dc.language.isoeng
dc.relation.urihttps://www.emerald.com/insight/content/doi/10.1108/SR-09-2021-0315/full/html
dc.titleSmart knife: technological advances towards smart cutting tools in meat industry automation
dc.title.alternativeSmart knife: technological advances towards smart cutting tools in meat industry automation
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber155-163
dc.source.volume42
dc.source.journalSensor Review
dc.source.issue1
dc.identifier.doi10.1108/SR-09-2021-0315
dc.identifier.cristin1981317
dc.relation.projectEU/871631
dc.relation.projectNorges forskningsråd: 281234
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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