Exploring impact and features of machine vision for progressive industry 4.0 culture

Machine Vision (MV), like other digital technologies, is a critical component of Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect & flag faulty goods while recognising their defects, thereby allowing rapid and efficient intervention in industry 4.0...

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Autores principales:	Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Shanay Rab, Rajiv Suman
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2022
Materias:	Machine vision Industry 4.0 Computer vision Imaging Inspection Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7f3f23bce8b1403dab973d4c4f478948
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spelling	oai:doaj.org-article:7f3f23bce8b1403dab973d4c4f4789482021-11-14T04:35:42ZExploring impact and features of machine vision for progressive industry 4.0 culture2666-351110.1016/j.sintl.2021.100132https://doaj.org/article/7f3f23bce8b1403dab973d4c4f4789482022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S266635112100053Xhttps://doaj.org/toc/2666-3511Machine Vision (MV), like other digital technologies, is a critical component of Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect & flag faulty goods while recognising their defects, thereby allowing rapid and efficient intervention in industry 4.0. The versions of MV are essential for efficient production on a scale with applications in quality assurance, enforcement, and inventory management. The removal of human error simultaneously minimises the probability of a mistake. This paper briefly discusses MV and how it helps Industry 4.0. Various collaborative features and smart technologies of MV for Industry 4.0 are diagrammatically presented. Further, the authors have identified and discussed twenty significant applications of MV for Industry 4.0. In Industry 4.0 and associated digital industry transition, every step in the process, including manufacturing, inventory control of the supply chain, and more, involves a different and innovative approach. One of the aims is to develop MV capable of seeing, communicating, and working with more accuracy better than human beings. Enabling robots to perceive and help people in dynamic systems provides the way for many opportunities. In the smart plant of the future, MV plays a significant role, in which automated production lines will adapt themselves to optimise productivity, performance, and profitability.Mohd JavaidAbid HaleemRavi Pratap SinghShanay RabRajiv SumanKeAi Communications Co., Ltd.articleMachine visionIndustry 4.0Computer visionImagingInspectionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENSensors International, Vol 3, Iss , Pp 100132- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Machine vision Industry 4.0 Computer vision Imaging Inspection Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Machine vision Industry 4.0 Computer vision Imaging Inspection Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mohd Javaid Abid Haleem Ravi Pratap Singh Shanay Rab Rajiv Suman Exploring impact and features of machine vision for progressive industry 4.0 culture
description	Machine Vision (MV), like other digital technologies, is a critical component of Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect & flag faulty goods while recognising their defects, thereby allowing rapid and efficient intervention in industry 4.0. The versions of MV are essential for efficient production on a scale with applications in quality assurance, enforcement, and inventory management. The removal of human error simultaneously minimises the probability of a mistake. This paper briefly discusses MV and how it helps Industry 4.0. Various collaborative features and smart technologies of MV for Industry 4.0 are diagrammatically presented. Further, the authors have identified and discussed twenty significant applications of MV for Industry 4.0. In Industry 4.0 and associated digital industry transition, every step in the process, including manufacturing, inventory control of the supply chain, and more, involves a different and innovative approach. One of the aims is to develop MV capable of seeing, communicating, and working with more accuracy better than human beings. Enabling robots to perceive and help people in dynamic systems provides the way for many opportunities. In the smart plant of the future, MV plays a significant role, in which automated production lines will adapt themselves to optimise productivity, performance, and profitability.
format	article
author	Mohd Javaid Abid Haleem Ravi Pratap Singh Shanay Rab Rajiv Suman
author_facet	Mohd Javaid Abid Haleem Ravi Pratap Singh Shanay Rab Rajiv Suman
author_sort	Mohd Javaid
title	Exploring impact and features of machine vision for progressive industry 4.0 culture
title_short	Exploring impact and features of machine vision for progressive industry 4.0 culture
title_full	Exploring impact and features of machine vision for progressive industry 4.0 culture
title_fullStr	Exploring impact and features of machine vision for progressive industry 4.0 culture
title_full_unstemmed	Exploring impact and features of machine vision for progressive industry 4.0 culture
title_sort	exploring impact and features of machine vision for progressive industry 4.0 culture
publisher	KeAi Communications Co., Ltd.
publishDate	2022
url	https://doaj.org/article/7f3f23bce8b1403dab973d4c4f478948
work_keys_str_mv	AT mohdjavaid exploringimpactandfeaturesofmachinevisionforprogressiveindustry40culture AT abidhaleem exploringimpactandfeaturesofmachinevisionforprogressiveindustry40culture AT ravipratapsingh exploringimpactandfeaturesofmachinevisionforprogressiveindustry40culture AT shanayrab exploringimpactandfeaturesofmachinevisionforprogressiveindustry40culture AT rajivsuman exploringimpactandfeaturesofmachinevisionforprogressiveindustry40culture
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Exploring impact and features of machine vision for progressive industry 4.0 culture

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