CVP BASIC VISION EXAM COMBINED KEY
CONCEPTS AND PRACTICE QUESTIONS
◉ Definition of Machine Vision.
Answer: - Automated AND Non-Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
◉ Benefits of Using Machine Vision.
Answer: - Help eliminate dedicated mechanical solutions
- Provide flexibility in automated processes
- Help to improve quality, enable related technologies, and reduce
costs
◉ MV (as a set of methods) - What is Image Acquisition?.
Answer: A critical part of machine vision that is required in order to
achieve an image that can provide the information needed in the
application.
◉ What is Image Analysis? (Machine Vision - as a set of methods).
, Answer: The overall process of extracting information from the
image.
Includes tasks like pre-processing, feature extraction, object
segmentation, identification, measurement and more.
◉ What is Data/Results Integration? (Information gained from the
image....).
Answer: Making real-world decisions about the information gained
from the image. The link to the automation process
◉ "Machine Vision" or "Computer Vision" (definition, differences).
Answer: Computer vision most commonly refers to the use of AI
techniques for classification of objects (e.g. neural networks and
deep learning) to make computers "see" in a perceptive way that
mimics humans; streaming video and continuous process
Machine vision most commonly refers to the use of discrete feature
extraction and rule-based comparisons to make decisions directly on
image data, 1-1 relationship part to process
◉ "Machine Vision" vs "Computer Vision" (definition continued).
Answer: Machine vision uses a wide variety of tools including those
that are most often considered exclusive to "computer vision" (deep
CONCEPTS AND PRACTICE QUESTIONS
◉ Definition of Machine Vision.
Answer: - Automated AND Non-Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
◉ Benefits of Using Machine Vision.
Answer: - Help eliminate dedicated mechanical solutions
- Provide flexibility in automated processes
- Help to improve quality, enable related technologies, and reduce
costs
◉ MV (as a set of methods) - What is Image Acquisition?.
Answer: A critical part of machine vision that is required in order to
achieve an image that can provide the information needed in the
application.
◉ What is Image Analysis? (Machine Vision - as a set of methods).
, Answer: The overall process of extracting information from the
image.
Includes tasks like pre-processing, feature extraction, object
segmentation, identification, measurement and more.
◉ What is Data/Results Integration? (Information gained from the
image....).
Answer: Making real-world decisions about the information gained
from the image. The link to the automation process
◉ "Machine Vision" or "Computer Vision" (definition, differences).
Answer: Computer vision most commonly refers to the use of AI
techniques for classification of objects (e.g. neural networks and
deep learning) to make computers "see" in a perceptive way that
mimics humans; streaming video and continuous process
Machine vision most commonly refers to the use of discrete feature
extraction and rule-based comparisons to make decisions directly on
image data, 1-1 relationship part to process
◉ "Machine Vision" vs "Computer Vision" (definition continued).
Answer: Machine vision uses a wide variety of tools including those
that are most often considered exclusive to "computer vision" (deep
