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Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey

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Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey

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dc.contributor.author Vasudevan, Saigopal es_ES
dc.contributor.author Mekhalfi, Mohamed Lamine es_ES
dc.contributor.author Blanes Campos, Carlos es_ES
dc.contributor.author Lecca, Michela es_ES
dc.contributor.author Poiesi, Fabio es_ES
dc.contributor.author Chippendale, Paul Ian es_ES
dc.contributor.author Malvido Fresnillo, Pablo es_ES
dc.contributor.author Mohammed, Wael M. es_ES
dc.contributor.author Martinez Lastra, Jose L. es_ES
dc.date.accessioned 2024-11-07T19:03:47Z
dc.date.available 2024-11-07T19:03:47Z
dc.date.issued 2024 es_ES
dc.identifier.uri http://hdl.handle.net/10251/211499
dc.description.abstract [EN] Vision and Robotic technologies are progressively becoming ubiquitous for automating and digitizing quality control in the food industry. This paper examines the crucial role of advanced automation technologies, including versatile or dedicated robotic systems, specialized end-effectors, machine vision, and efficient material handling systems, which collectively enhance food processing efficiency. This paper aspires to provide a high-level technical review on the crucial role of advanced automation technologies, including versatile or dedicated robotic systems, specialized end-effectors, machine vision, and efficient material handling systems, which collectively enhance food processing efficiency. While the manuscript aims to document the various automation sub-systems utilized generally in food processing, it places a particular emphasis on the primary processing phase of food production. Most food products in the primary processing phase exhibit a plethora of complex physical properties and manipulation conditions, making it difficult to reliably automate the various processes. This research aims to outline the contemporary advances and requirements for integrating various automation technologies, to enhance the efficiency and precision of primary food processing. Furthermore, it aspires to serve as a valuable, up-to-date survey and analysis of the latest advances in automation and vision technologies and their capability to automate a food processing line. es_ES
dc.description.sponsorship This work was supported by European Union's Horizon Europe Research and Innovation Program through the Project AGILEHAND (Smart Grading, Handling, and Packaging Solutions for Soft and Deformable Products in Agile and Reconfigurable Lines) under Grant 101092043. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Access es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Artificial intelligence es_ES
dc.subject Conveyors es_ES
dc.subject End-effectors es_ES
dc.subject Machine vision es_ES
dc.subject Primary food processing es_ES
dc.subject Robotic systems es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/ACCESS.2024.3479781 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/HE/101092043/EU/Smart Grading, Handling and Packaging Solutions for Soft and Deformable Products in Agile and Reconfigurable Lines/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Vasudevan, S.; Mekhalfi, ML.; Blanes Campos, C.; Lecca, M.; Poiesi, F.; Chippendale, PI.; Malvido Fresnillo, P.... (2024). Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey. IEEE Access. 12:152579-152613. https://doi.org/10.1109/ACCESS.2024.3479781 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/ACCESS.2024.3479781 es_ES
dc.description.upvformatpinicio 152579 es_ES
dc.description.upvformatpfin 152613 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.identifier.eissn 2169-3536 es_ES
dc.relation.pasarela S\531796 es_ES
dc.contributor.funder European Commission es_ES


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