CVP Basic Exam QUESTIONS WITH Detailed
Answer Key For (2026) Exam, A+ Solutions
Save
Terms in this set (49)
What is Machine Vision? It is the automatic acquisition and analysis of
images to obtain desired data for controlling or
evaluating a specific part or activity
Definition of Machine Vision - Automated AND Non‐Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
Benefits of Using Machine Vision - 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 A critical part of machine vision that is required in
Image Acquisition? order to achieve an image that can provide the
information needed in the application.
What is Image Analysis? (Machine The overall process of extracting information
Vision - as a set of methods) from the image.
Includes tasks like pre‐processing, feature
extraction, object segmentation, identification,
measurement and more.
, What is Data/Results Integration? Making real‐world decisions about the
(Information gained from the information gained from the image. The link to the
image....) automation process
"Machine Vision" or "Computer Computer vision most commonly refers to the
Vision" (definition, differences) 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 Machine vision uses a wide variety of tools
Vision" (definition continued) 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
Machine vision is not necessarily a subset of
computer vision and computer vision is not
necessarily a subset of machine vision
In some cases, the capability of the tools
described as rule‐based/discrete (machine
vision) and learning‐based (computer vision)
overlap and either might work well for a target
application
MV Definition - "Inspect" Check presence/absence, detect defects, verify
assembly, differentiate colors, count objects
MV Definition - "Locate/Guide" Find randomly oriented features or object is 2D
and 3D space, perhaps provide real-world
coordinates for robotic or motion guidance
Answer Key For (2026) Exam, A+ Solutions
Save
Terms in this set (49)
What is Machine Vision? It is the automatic acquisition and analysis of
images to obtain desired data for controlling or
evaluating a specific part or activity
Definition of Machine Vision - Automated AND Non‐Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
Benefits of Using Machine Vision - 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 A critical part of machine vision that is required in
Image Acquisition? order to achieve an image that can provide the
information needed in the application.
What is Image Analysis? (Machine The overall process of extracting information
Vision - as a set of methods) from the image.
Includes tasks like pre‐processing, feature
extraction, object segmentation, identification,
measurement and more.
, What is Data/Results Integration? Making real‐world decisions about the
(Information gained from the information gained from the image. The link to the
image....) automation process
"Machine Vision" or "Computer Computer vision most commonly refers to the
Vision" (definition, differences) 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 Machine vision uses a wide variety of tools
Vision" (definition continued) 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
Machine vision is not necessarily a subset of
computer vision and computer vision is not
necessarily a subset of machine vision
In some cases, the capability of the tools
described as rule‐based/discrete (machine
vision) and learning‐based (computer vision)
overlap and either might work well for a target
application
MV Definition - "Inspect" Check presence/absence, detect defects, verify
assembly, differentiate colors, count objects
MV Definition - "Locate/Guide" Find randomly oriented features or object is 2D
and 3D space, perhaps provide real-world
coordinates for robotic or motion guidance
