5/7/25, 7:50 AM CVP 2025 COMPREHENSIVE EXAM QUESTIONS WITH DETAILED VERIFIED AND 100% CORRECT ANSWERS BRAND N…
CVP 2025 COMPREHENSIVE EXAM QUESTIONS
WITH DETAILED VERIFIED AND 100% CORRECT
ANSWERS BRAND NEW EXAM ALREADY
GRADED A+!!
Save
Terms in this set (49)
It is the automatic acquisition and analysis of images
What is Machine Vision? to obtain desired data for controlling or evaluating a
specific part or activity
- Automated AND Non‐Contact
- Acquisition AND Analysis
Definition of Machine
- Data/information delivery
Vision
- Technologies AND methods
- An engineering discipline
- Help eliminate dedicated mechanical solutions
Benefits of Using - Provide flexibility in automated processes
Machine Vision - Help to improve quality, enable related
technologies, and reduce costs
MV (as a set of methods) A critical part of machine vision that is required in
- What is Image order to achieve an image that can provide the
Acquisition? information needed in the application.
The overall process of extracting information from
the image.
What is Image Analysis?
(Machine Vision - as a set
Includes tasks like pre‐processing, feature
of methods)
extraction, object segmentation, identification,
measurement and more.
https://quizlet.com/1040874942/cvp-2025-comprehensive-exam-questions-with-detailed-verified-and-100-correct-answers-brand-new-exam-alrea… 1/8
, 5/7/25, 7:50 AM CVP 2025 COMPREHENSIVE EXAM QUESTIONS WITH DETAILED VERIFIED AND 100% CORRECT ANSWERS BRAND N…
What is Data/Results Making real‐world decisions about the information
Integration? (Information gained from the image. The link to the automation
gained from the image....) process
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
"Machine Vision" or
humans; streaming video and continuous process
"Computer Vision"
(definition, differences)
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 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
"Machine Vision" vs
Machine vision is not necessarily a subset of
"Computer Vision"
computer vision and computer vision is not
(definition continued)
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
Check presence/absence, detect defects, verify
MV Definition - "Inspect"
assembly, differentiate colors, count objects
Find randomly oriented features or object is 2D and
MV Definition -
3D space, perhaps provide real-world coordinates
"Locate/Guide"
for robotic or motion guidance
Precisely measure objects or features in both 2D
MV Definition - "Measure"
and 3D space.
Differentiate closely related objects or features,
MV Definition -
read codes and print, sort/count objects based on
"Identify/Sort"
size, color or other features.
https://quizlet.com/1040874942/cvp-2025-comprehensive-exam-questions-with-detailed-verified-and-100-correct-answers-brand-new-exam-alrea… 2/8
CVP 2025 COMPREHENSIVE EXAM QUESTIONS
WITH DETAILED VERIFIED AND 100% CORRECT
ANSWERS BRAND NEW EXAM ALREADY
GRADED A+!!
Save
Terms in this set (49)
It is the automatic acquisition and analysis of images
What is Machine Vision? to obtain desired data for controlling or evaluating a
specific part or activity
- Automated AND Non‐Contact
- Acquisition AND Analysis
Definition of Machine
- Data/information delivery
Vision
- Technologies AND methods
- An engineering discipline
- Help eliminate dedicated mechanical solutions
Benefits of Using - Provide flexibility in automated processes
Machine Vision - Help to improve quality, enable related
technologies, and reduce costs
MV (as a set of methods) A critical part of machine vision that is required in
- What is Image order to achieve an image that can provide the
Acquisition? information needed in the application.
The overall process of extracting information from
the image.
What is Image Analysis?
(Machine Vision - as a set
Includes tasks like pre‐processing, feature
of methods)
extraction, object segmentation, identification,
measurement and more.
https://quizlet.com/1040874942/cvp-2025-comprehensive-exam-questions-with-detailed-verified-and-100-correct-answers-brand-new-exam-alrea… 1/8
, 5/7/25, 7:50 AM CVP 2025 COMPREHENSIVE EXAM QUESTIONS WITH DETAILED VERIFIED AND 100% CORRECT ANSWERS BRAND N…
What is Data/Results Making real‐world decisions about the information
Integration? (Information gained from the image. The link to the automation
gained from the image....) process
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
"Machine Vision" or
humans; streaming video and continuous process
"Computer Vision"
(definition, differences)
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 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
"Machine Vision" vs
Machine vision is not necessarily a subset of
"Computer Vision"
computer vision and computer vision is not
(definition continued)
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
Check presence/absence, detect defects, verify
MV Definition - "Inspect"
assembly, differentiate colors, count objects
Find randomly oriented features or object is 2D and
MV Definition -
3D space, perhaps provide real-world coordinates
"Locate/Guide"
for robotic or motion guidance
Precisely measure objects or features in both 2D
MV Definition - "Measure"
and 3D space.
Differentiate closely related objects or features,
MV Definition -
read codes and print, sort/count objects based on
"Identify/Sort"
size, color or other features.
https://quizlet.com/1040874942/cvp-2025-comprehensive-exam-questions-with-detailed-verified-and-100-correct-answers-brand-new-exam-alrea… 2/8
