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Author: Brian Thomas Schmidt
Publisher: Alberta Workers' Health, Safety and Compensation, Occupational Health and Safety Division, 1981, [1985 printing]
ISBN:
Category : Eye
Languages : en
Pages : 92
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Book Description
Author: Brian Thomas Schmidt
Publisher: Alberta Workers' Health, Safety and Compensation, Occupational Health and Safety Division, 1981, [1985 printing]
ISBN:
Category : Eye
Languages : en
Pages : 92
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Book Description
Author: Sheila Anand
Publisher: CRC Press
ISBN: 1000753816
Category : Computers
Languages : en
Pages : 193
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Book Description
Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.
Author: Herbert S. Fairall
Publisher:
ISBN:
Category : Iowa
Languages : en
Pages : 432
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Book Description
Presidential vote 1848-1880 ; state officers, aggregated, 1846-1880, by counties, 1881-1883; United States Senators, Legislative, 1848-1882; Congressional, aggregated, 1838-1847, by counties, 1847-1883; Judicial, by counties, 1882; General assembly, by counties, 1883; with a sketch of the fight for prohibition, a complete list of all executive, legislative, and judicial officers of territory and state, and other useful and non-partison information.
Author: Charles Alpheus Bennett
Publisher:
ISBN:
Category : Manual training
Languages : en
Pages : 1100
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Book Description
Author: Huajian Liu
Publisher: Frontiers Media SA
ISBN: 283254293X
Category : Science
Languages : en
Pages : 423
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Book Description
Plant phenotyping (PP) describes the physiological and biochemical properties of plants affected by both genotypes and environments. It is an emerging research field that is assisting the breeding and cultivation of new crop varieties to be more productive and resilient to challenging environments. Precision agriculture (PA) uses sensing technologies to observe crops and then manage them optimally to ensure that they grow in healthy conditions, have maximum productivity, and have minimal negative effects on the environment. Traditionally, the observation of plant traits heavily relies on human experts which is labor intensive, time-consuming, and subjective. Automatic crop traits measurement in PP and PA are two different fields, but they share the same sensing and data processing technologies in many respects. Recently, driven by computer and sensor technologies, machine vision (MV) and machine learning (ML) have contributed to accurate, high-throughput, and nondestructive plant phenotyping and precision agriculture. However, these technologies are still in their infant stage and there are many challenges and questions related to them that still need to be addressed. The goal of this Research Topic is to provide a platform to share the latest research results on the application of MV and ML for PP and PA. It aims to highlight cutting-edge technologies, bottle-necks, and future research directions for MV and ML in crop breeding, crop cultivation, disease management, weed control, and pest control.
Author:
Publisher:
ISBN:
Category : Forest nurseries
Languages : en
Pages : 176
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Book Description
Author: Library of Congress. Copyright Office
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1672
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Book Description
Includes Part 1, Number 1 & 2: Books and Pamphlets, Including Serials and Contributions to Periodicals (January - December)
Author: United States. Office of Education
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 420
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Book Description
Author:
Publisher:
ISBN:
Category : Machine-tools
Languages : en
Pages : 1002
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Book Description
Author:
Publisher:
ISBN:
Category : Aerial photogrammetry
Languages : en
Pages : 304
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Book Description
