7th Sem, Mechatronics

MR3701: Machine Vision Systems syllabus for Mechatronics 2021 regulation

Machine Vision Systems detailed syllabus for Mechatronics Engineering (Mechatronics) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the Mechatronics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Mechatronics Engineering 7th Sem scheme and its subjects, do visit Mechatronics 7th Sem 2021 regulation scheme. The detailed syllabus of machine vision systems is as follows.

Course Objectives:

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Unit I

INTRODUCTION 9
Human vision – Machine vision and Computer vision – Benefits of machine vision – Block diagram and function of machine vision system implementation of industrial machine vision system – Physics of Light – Interactions of light – Refraction at a spherical surface – Thin Lens Equation

Unit II

IMAGE ACQUISITION 9
Scene constraints – Lighting parameters – Lighting sources, Selection – Lighting Techniques -Types and Selection – Machine Vision Lenses and Optical Filters, Specifications and Selection – Imaging Sensors – CCD and CMOS, Specifications – Interface Architectures – Analog and Digital Cameras – Digital Camera Interfaces – Camera Computer Interfaces, Specifications and Selection – Geometrical Image formation models – Camera Calibration

Unit III

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Unit IV

FEATURE EXTRACTION 9
Feature extraction – Region Features, Shape and Size features – Texture Analysis – Template Matching and Classification – 3D Machine Vision Techniques – Decision Making.

Unit V

MACHINE VISION APPLICATIONS 9
Machine vision applications in manufacturing, electronics, printing, pharmaceutical, textile, applications in non-visible spectrum, metrology and gauging, OCR and OCV, vision guided robotics – Field and Service Applications – Agricultural, and Bio medical field, augmented reality, surveillance, bio-metrics.

Course Outcomes:

Upon successful completion of the course, students should be able to:

  1. Know the various types of sensors, lightings, hardware and concept of machine vision
  2. Acquire the image by the appropriate use of sensors, lightings and hardware
  3. Apply the various techniques of image processing in real time applications
  4. Select the suitable sensors, lightings and hardware for machine vision system
  5. Apply the machine vision techniques in machine vision system

Text Books:

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Reference Books:

  1. Emanuele Trucco, Alessandro Verri, “Introductory Techniques For 3D Computer Vision”, First Edition, 1998
  2. Rafael C. Gonzales, Richard. E. Woods, “Digital Image Processing Publishers”, Fourth Edition, 1992

For detailed syllabus of all other subjects of Mechatronics Engineering, 2021 regulation curriculum do visit Mechatronics 7th Sem subject syllabuses for 2021 regulation.

For all Mechatronics Engineering results, visit Anna University Mechatronics all semester results direct link.

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