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001			9781003122401
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008			220225s2022 flu ob 001 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781000518221 _q(electronic bk.)
020			_a1000518221 _q(electronic bk.)
020			_a9781003122401 _q(electronic bk.)
020			_a100312240X _q(electronic bk.)
020			_a9781000518238 _q(electronic bk. : EPUB)
020			_a100051823X _q(electronic bk. : EPUB)
020			_z9780367637125
020			_z036763712X
020			_z9780367641641
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024	7		_a10.1201/9781003122401 _2doi
035			_a(OCoLC)1299366923
035			_a(OCoLC-P)1299366923
050		4	_aTA1634
072		7	_aTEC _x015000 _2bisacsh
072		7	_aCOM _x012050 _2bisacsh
072		7	_aTEC _x037000 _2bisacsh
072		7	_aUYT _2bicssc
082	0	4	_a006.3/7 _223
245	0	0	_aMachine vision for industry 4.0 _h[electronic resource] : _bapplications and case studies / _cedited by Roshani Raut, Salahddine Krit, and Prasenjit Chatterjee.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, _c[2022]
300			_a1 online resource
520			_aThis book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.
588			_aOCLC-licensed vendor bibliographic record.
650		7	_aTECHNOLOGY / Imaging Systems _2bisacsh
650		7	_aCOMPUTERS / Computer Graphics / Image Processing (see also PHOTOGRAPHY / Techniques / Digital) _2bisacsh
650		7	_aTECHNOLOGY / Robotics _2bisacsh
650		0	_aComputer vision _xIndustrial applications.
650		0	_aIndustry 4.0.
700	1		_aRaut, Roshani, _d1981- _eeditor.
700	1		_aKrit, Salahddine, _d1976- _eeditor.
700	1		_aChatterjee, Prasenjit, _d1982- _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003122401
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c4818 _d4818