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Computer vision and image analysis f...

Siddique, N. H.

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Computer vision and image analysis for industry 4.0

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision and image analysis for industry 4.0/ edited by Nazmul Siddique ... [et al.]
其他作者:	Siddique, N. H.
出版者:	Boca Raton, FL :Chapman & Hall/CRC Press, : 2023.,
面頁冊數:	1 online resource (1 v.)
標題:	Industry 4.0. -
電子資源:	https://www.taylorfrancis.com/books/9781003256106
ISBN:	9781003256106

Computer vision and image analysis for industry 4.0
Computer vision and image analysis for industry 4.0[electronic resource] /edited by Nazmul Siddique ... [et al.] - 1st ed. - Boca Raton, FL :Chapman & Hall/CRC Press,2023. - 1 online resource (1 v.)

Includes bibliographical references and index.

Computer 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, thegreater the efficiency of machines as well ashumans. 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.

ISBN: 9781003256106Subjects--Topical Terms:

3491401
Industry 4.0.

LC Class. No.: TA1634

Dewey Class. No.: 658.4038028563

Computer vision and image analysis for industry 4.0
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300 $a 1 online resource (1 v.)
504 $a Includes bibliographical references and index.
520 $a Computer 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, thegreater the efficiency of machines as well ashumans. 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.
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