CVP BASIC VISION TEST PAPER FULL
QUESTIONS AND VERIFIED SOLUTIONS
●● 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 learning
for example) along with rule‐based or discrete feature extraction and
analysis
QUESTIONS AND VERIFIED SOLUTIONS
●● 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 learning
for example) along with rule‐based or discrete feature extraction and
analysis
