Computer Vision and Image Analysis for Industry 4.0

dc.contributor.authorSiddique, Nazmul
dc.contributor.authorArefin, Mohammad Shamsul
dc.contributor.authorAhad, Md Atiqur Rahman
dc.contributor.authorM. Ali Akber Dewan
dc.contributor.authorDewan, M. Ali Akber
dc.date.accessioned2024-05-08T09:07:47Z
dc.date.available2024-05-08T09:07:47Z
dc.date.issued2023-06-12
dc.description.abstractComputer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12289
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12289
dc.language.isoen_US
dc.publisherChapman & Hall
dc.sourceDIU Institutional Repository
dc.subjectComputer vision
dc.subjectAutomated environment
dc.subjectMachine learning
dc.titleComputer Vision and Image Analysis for Industry 4.0
dc.typeArticle

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