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Smart Inspection Systems - Techniques and Applications of Intelligent Vision will enable engineers to understand the various stages of automated visual inspection (AVI) and how artificial intelligence can be incorporated into each stage to create ""smart"" inspection systems. The book contains many examples that illustrate and explain the application of conventional and artificial intelligence techniques in AVI. The text covers the whole AVI process, from illumination, image enhancement, segmentation and feature extraction, through to classification, and includes case studies of implemented AV

Quality control --- Engineering inspection. --- Optical methods. --- Inspection, Engineering --- Optical inspection --- Optical quality control --- Engineering inspection --- Optical measurements

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Engineering inspection --- Quality control --- #TELE:d.d. Prof. A. J. J. Oosterlinck --- Optical inspection --- Optical quality control --- Optical measurements --- Inspection, Engineering --- Automation --- Optical methods

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This practical introduction focuses on how to design integrated solutions for industrial vision tasks from individual algorithms. The book is now available in a revised second edition that takes into account the current technological developments, including camera technology and color imaging processing. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck® standard software that has proven industrial strength integrated in thousands of applications in real-world production lines. Based on many years of experience in industry, the authors explain all the essential details encountered in the creation of vision system installations. With example material and a demo version of the software found on "extras.springer.com" readers can work their way through the described inspection tasks and carry out their own experiments.

Computer science. --- Computer vision. --- Image processing -- Digital techniques. --- Neural networks (Computer science). --- Optical pattern recognition. --- Quality control -- Optical methods. --- Engineering & Applied Sciences --- Mechanical Engineering --- Industrial & Management Engineering --- Applied Physics --- Quality control --- Image processing --- Neural networks (Computer science) --- Optical methods. --- Digital techniques. --- Digital image processing --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Optical inspection --- Optical quality control --- Image processing. --- Control engineering. --- Robotics. --- Mechatronics. --- Computer Science. --- Image Processing and Computer Vision. --- Control, Robotics, Mechatronics. --- Signal, Image and Speech Processing. --- Artificial intelligence --- Natural computation --- Soft computing --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Digital electronics --- Engineering inspection --- Optical measurements --- Machine vision --- Vision, Computer --- Pattern recognition systems --- Optical data processing. --- Signal processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment