Machine VIsion Systems detail syllabus for Robotics And Automation Engineering (Robotics & Automation), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (RO8602), Category (PC), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other robotics & automation 6th sem syllabus for be 2017 regulation anna univ you can visit Robotics & Automation 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for machine vision systems is as follows.”
Course Objective:
- To know about the principles and applications of vision system in modern manufacturing environment
- To learn about the algorithms in vision
- To know about the recognition of object
- To be familiar about the applications regarding vision
- To know about the components used for vision
Unit I
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Unit II
Vision Algorithms
Fundamental Data Structures: Images, Regions, Sub-pixel Precise Contours – Image Enhancement : Gray value transformations, image smoothing, Fourier Transform – Geometric Transformation – Image segmentation – Segmentation of contours, lines, circles and ellipses – Camera calibration – Stereo Reconstruction.
Unit III
Object Recognition
Object recognition, Approaches to Object Recognition, Recognition by combination of views – objects with sharp edges, using two views only, using a single view, use of dept values.
Unit IV
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Unit V
Robot Vision
Basic introduction to Robotic operating System (ROS) – Real and Simulated Robots – Introduction to OpenCV, Open NI and PCL, installing and testing ROS camera Drivers, ROS to OpenCV – The cv_bridge Package.
Course Outcome:
- Knowledge or gadgets of vision systems
- Ability to understand the image capturing and processing techniques
- Ability to apply the vision system in other machines
- Knowledge for recognizing the objects.
- Knowledge in application of vision and image processing in robot operations.
Text Books:
- Carsten Steger, Markus Ulrich, Christian Wiedemann, Machine Vision Algorithms and Applications, WILEY-VCH, Weinheim,2008.
- Damian m Lyons,Cluster Computing for Robotics and Computer Vision, World Scientific, Singapore, 2011.
References:
- Rafael C. Gonzalez and Richard E.woods, Digital Image Processing, Addition – Wesley Publishing Company, New Delhi, 2007.
- Shimon Ullman, High-Level Vision: Object recognition and Visual Cognition, A Bradford Book, USA, 2000.
- R.Patrick Goebel, ROS by Example: A Do-It-Yourself Guide to Robot Operating System -Volume I, A Pi Robot Production, 2012.
For detail syllabus of all other subjects of BE Robotics & Automation, 2017 regulation do visit Robotics & Automation 6th Sem syllabus for 2017 Regulation.
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