CVP Basic Exam QUESTIONS AND
ANSWERS [100% GUARANTEED GRADE
A+]
What is Machine Vision? - Correct Answers -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 - Correct Answers -- Automated AND Non-Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
Benefits of Using Machine Vision - Correct Answers -- 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? - Correct Answers -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) - Correct Answers -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....) - Correct Answers -
Making real-world decisions about the information gained from the image. The link to the
automation process
"Machine Vision" or "Computer Vision" (definition, differences) - Correct Answers -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) - Correct Answers -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 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" - Correct Answers -Check presence/absence, detect defects, verify
assembly, differentiate colors, count objects
MV Definition - "Locate/Guide" - Correct Answers -Find randomly oriented features or object is
2D and 3D space, perhaps provide real-world coordinates for robotic or motion guidance
MV Definition - "Measure" - Correct Answers -Precisely measure objects or features in both 2D
and 3D space.
ANSWERS [100% GUARANTEED GRADE
A+]
What is Machine Vision? - Correct Answers -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 - Correct Answers -- Automated AND Non-Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
Benefits of Using Machine Vision - Correct Answers -- 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? - Correct Answers -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) - Correct Answers -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....) - Correct Answers -
Making real-world decisions about the information gained from the image. The link to the
automation process
"Machine Vision" or "Computer Vision" (definition, differences) - Correct Answers -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) - Correct Answers -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 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" - Correct Answers -Check presence/absence, detect defects, verify
assembly, differentiate colors, count objects
MV Definition - "Locate/Guide" - Correct Answers -Find randomly oriented features or object is
2D and 3D space, perhaps provide real-world coordinates for robotic or motion guidance
MV Definition - "Measure" - Correct Answers -Precisely measure objects or features in both 2D
and 3D space.
