[Book] Practical Applications of Visual Inspection and Cutting-Edge Use of AI, Published in December 2018!
BC181201
A definitive guide explaining the future of visual inspection, from tips for visual inspection to points for automation and the introduction of artificial intelligence, written by over 25 authors!
How far can visual inspection by humans be made more efficient? What are the advantages and considerations of introducing machines for automatic visual inspection? Can machines perform all inspections? What changes when AI (image recognition, machine learning, deep learning) is introduced? A definitive guide to explaining visual inspection from various perspectives! ★Aim for the efficiency of visual inspection!★ How should inspectors be selected? What are the training methods for inspectors? What about the surrounding environment? How should limit samples be created? What advantages does peripheral visual inspection have? ★What are the key points of automatic visual inspection? Can machines replace inspectors? Will conducting visual inspections with machines be more efficient? What is the cost-effectiveness perspective? ★Visual inspection will change with the use of AI! How capable is artificial intelligence?★ AI is not an omnipotent technology! What can be achieved with image recognition, machine learning, and deep learning? What algorithms are used? How is programming done? Let’s understand reality well and make the most of AI! ★Detailed case studies to learn practical visual inspection In-depth explanations of visual inspection examples for various products such as automotive parts, pharmaceuticals, films, and metal processed goods. A wealth of examples that provide hints for application in your own company!
Inquire About This Product
basic information
Publication, Format, Price Publication: December 14, 2018, List Price: 57,000 yen + tax Format: B5 size, 297 pages, ISBN 978-4-86502-164-6 ★ Selected Authors (in no particular order, honorifics omitted) All authors are listed on the Information Organization website! ● Niigata Prefectural Institute of Industrial Technology, Yoshito Abe ● SKG Management, Shinichi Sakata ● KPI Management, Takayoshi Nemoto ● Peripheral Vision Inspection Research Institute, Akio Sasaki ● Orbit, Hirokazu Yamada ● Kitahiro Technical Consultant Office, Kazuo Kitahiro ● Chukyo University, Kimiya Aoki ● Hitachi, Ltd., Hisae Shibuya ● Ricoh, Ryosuke Kasahara ● CEC, Shinya Kubota ● Mizuho Information Research Institute, Takeshi Nagata ● Fujitsu Laboratories, Takeshi Nagamoto ● Cybec Corporation, Hidenobu Fuchida ● Daido Steel, Naoki Fuse ● System Planning Institute, Tadaharu Inoue ● Osaka Institute of Industrial Technology, Katsuhisa Kitaguchi ● SCREEN Holdings, Tomohiro Yoshida ● C&J, Kazuhiko Arai ● Toshiba Digital Solutions, Katsumi Maenosono ● Opton, Hideyuki Tanaka ● Seiko Wave, Minoru Shinmura
Price information
Base price: 57,000 yen
Price range
P2
Delivery Time
※Please contact us.
Applications/Examples of results
★Table of Contents Detailed table of contents available on the Information Organization HP! Chapter 1: Visual Inspection and Quality Control, Recent Trends Chapter 2: Visual Inspection Section 1: How to Choose and Train Panel (Visual Inspectors) Section 2: Creating Inspection Standards / Limit Samples / Inspection Procedures Quantification of Samples / Limit Samples / Non-Conformance Samples and How to Create Inspection Standards Section 3: Environment Suitable for Visual Inspection Section 4: Advantages and Utilization of Peripheral Vision Visual Inspection Method Chapter 3: Automation of Visual Inspection Section 1: Key Points that Cannot Be Overlooked in Automation Section 2: Equipment Used in Visual Inspection and Their Performance Section 3: Optical 3D Measurement Methods for Visual Inspection Section 4: Combination of Automation and Visual Inspection Chapter 4: Utilization of AI Technology in Visual Inspection Section 1: What Can Be Achieved with Image Processing and Machine Learning - What AI Can and Cannot Do - Section 2: AI Technologies Used in Visual Inspection Pattern Recognition, Application of AI Technology in Image Recognition and Visual Inspection Deep Learning Applications, etc. Section 3: Practical Use of AI Technology and Data Processing in Visual Inspection Section 4: Automatic Generation of Image Processing Programs for Visual Inspection Devices Chapter 5: Application and Improvement Cases of Visual Inspection ⇒ Numerous case studies included!
catalog（1）
Download All Catalogs![[Book] Practical Work on Visual Inspection and Cutting-Edge Use of AI - From Tips for Visual Inspection to Points of Automation and Introduction of Artificial Intelligence - Published December 2018](https://image.mono.ipros.com/public/catalog/image_generated/01/6fa/440546/20181218094011_IPROS15227387069104071667_1.jpg?w=120&h=170)
Company information
The information organization aims to contribute to the development of the industry through technical seminars on chemistry, pharmaceuticals, electronics, machinery, environment, cosmetics, food, etc., as well as the publication of technical books, correspondence courses, and DVDs that record seminars.
![[Data] Classification of Non-Water-Soluble Cutting Oils as Hazardous Materials / Apiste](https://image.mono.ipros.com/public/product/image/f26/2000645264/IPROS02613700727502226673.jpeg?w=280&h=280)
