Computer Vision and Image Analysis for Industry 4.0

dc.contributor.author	Siddique, Nazmul
dc.contributor.author	Arefin, Mohammad Shamsul
dc.contributor.author	Ahad, Md Atiqur Rahman
dc.contributor.author	M. Ali Akber Dewan
dc.contributor.author	Dewan, M. Ali Akber
dc.date.accessioned	2024-05-08T09:07:47Z
dc.date.available	2024-05-08T09:07:47Z
dc.date.issued	2023-06-12
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12289
dc.description.abstract	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, 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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Chapman & Hall	en_US
dc.subject	Computer vision	en_US
dc.subject	Automated environment	en_US
dc.subject	Machine learning	en_US
dc.title	Computer Vision and Image Analysis for Industry 4.0	en_US
dc.type	Article	en_US