Sheila Anand, L. Priya

A Guide for Machine Vision in Quality Control (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book covers machine vision technology with respect to quality control alongwith basics of image processing and its related algorithms as applied to machine vision. Includes case studies as well as real-time usage scenarios for the application of machine vision technology in quality control.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 208
• Erscheinungstermin: 23. Dezember 2019
• Englisch
• ISBN-13: 9781000753813
• Artikelnr.: 58471445

Autorenporträt

Dr. Sheila Anand is a Professor in the Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She is an Engineer by qualification, having done her B.E in Electronics and Communication, M.E in Computer Science and Ph.D is in the area of Information Security. She has extensive experience in the design and development of software applications. She is currently a recognized supervisor of Anna University and guides several Ph.D aspirants. She has published many papers in national and international journal of repute. She was the Coordinator of the TIFAC project for Machine Vision at Rajalakshmi Engineering College. She is a senior member of IEEE and ACM and is a member in many other professional institutions that includes ISACA and CSI.

Ms.L.Priya is an Associate Professor of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has done her B.E. in Electronics and Communication and her M.Tech in Information Technology. She is presently pursing her Ph.D. in the area of Machine Vision in Anna University, Chennai. She has published many papers in national and international journal of repute. She has designed and developed many Machine Vision based applications. She has successfully completed many projects for Automobile, Pharmaceutical and Electronics Industry. She has conducted several training programmes in the area of Machine Vision.