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VISION
SYSTEM
Unit – I Fundamental Concepts
•Vision system – human vision, disadvantages -
machine vision, advantages.
•components and working principles of MVS -
fundamental of Imaging – MVS specifications – design
requirements.
•Human machine interfaces – MVS Integration of
Mechanical, Electrical, Optical, Software, Mechatronics
engineering.
CAPABILITIES HUMAN VISION MACHINE VISION
1. Distance Good qualitative capabilities Limited capabilities
2. Orientation Good qualitative capabilities Good for 2D
3. Motion Good qualitative capabilities Limited, sensitive to
image blurring
4. Recollection 100% is not possible Its possible
5. Distinguish b/w colors Difficult Easy
6. Minute details Difficult to detect Easy
7. Time delay Negligible Considerable
8. Intelligence More Less
9. Worst environment Not comfortable Comfortable
10. Continuous process More problems Less problems
11. Automation Cannot automate Can automate
PERFORMANCE
CRITERIA
HUMAN VISION MACHINE VISION
1. Resolution High resolution capability Limited by pixel array
size
2. Processing speed Real time processing Fraction of second per
image
3. Discrimination Very sensitive
discrimination
Limited to high - contrast
images
4. Accuracy Accurate at distinguishing
qualitative differences
Accurate at distinguishing
quantitative differences
5. Operating cost High for high volume High for low volume
HUMAN VISION SYSTEMHUMAN VISION SYSTEM
MACHINE VISION SYSTEMMACHINE VISION SYSTEM
DISADVANTAGES OF HUMAN VISION
ADVANTAGES OF MACHINE VISION
APPLICATIONS OF MACHINE VISION SYSTEM
Thank youThank you

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vision system

  • 2. Unit – I Fundamental Concepts •Vision system – human vision, disadvantages - machine vision, advantages. •components and working principles of MVS - fundamental of Imaging – MVS specifications – design requirements. •Human machine interfaces – MVS Integration of Mechanical, Electrical, Optical, Software, Mechatronics engineering.
  • 3. CAPABILITIES HUMAN VISION MACHINE VISION 1. Distance Good qualitative capabilities Limited capabilities 2. Orientation Good qualitative capabilities Good for 2D 3. Motion Good qualitative capabilities Limited, sensitive to image blurring 4. Recollection 100% is not possible Its possible 5. Distinguish b/w colors Difficult Easy 6. Minute details Difficult to detect Easy 7. Time delay Negligible Considerable 8. Intelligence More Less 9. Worst environment Not comfortable Comfortable 10. Continuous process More problems Less problems 11. Automation Cannot automate Can automate
  • 4. PERFORMANCE CRITERIA HUMAN VISION MACHINE VISION 1. Resolution High resolution capability Limited by pixel array size 2. Processing speed Real time processing Fraction of second per image 3. Discrimination Very sensitive discrimination Limited to high - contrast images 4. Accuracy Accurate at distinguishing qualitative differences Accurate at distinguishing quantitative differences 5. Operating cost High for high volume High for low volume
  • 5.
  • 6. HUMAN VISION SYSTEMHUMAN VISION SYSTEM
  • 7.
  • 11. APPLICATIONS OF MACHINE VISION SYSTEM
  • 12.
  • 13.