CVP Basic Exam Final: Questions With Detailed
Solutions
What is Machine Vision? Right Ans - Machine vision is the substitution of
the human
visual sense and judgment capabilities with a
camera and computer to perform an inspection
task. It is the automatic acquisition and analysis
of images to obtain desired data for controlling
or evaluating a specific part or activity.
Machine Vision-Important Points Right Ans - - Automated AND Non‐
Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
Benefits of Using Machine Vision Right Ans - - Help eliminate dedicated
mechanical solutions
- Provide flexibility in automated processes
- Help to improve quality, enable related technologies, and reduce costs
What is Image Acquisition? Right Ans - It is 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? Right Ans - 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? Right Ans - Making real‐world decisions
about the information gained from the image. The link to the automation
process
, "Machine Vision" or "Computer Vision" (definition, differences) Right Ans -
Computer vision most commonly refers to the use of AI techniques for
classification of objects to make computers "see" in a perceptive way that
mimics humans; streaming video and continuous 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 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" Right Ans - Check presence/absence, detect
defects, verify assembly, differentiate colors, count objects
MV Definition - "Locate/Guide" Right Ans - Find randomly oriented
features or object is 2D and 3D space, perhaps provide real-world coordinates
for robotic or motion guidance
MV Definition - "Measure" Right Ans - Precisely measure objects or
features in both 2D and 3D space.
MV Definition - "Identify/Sort" Right Ans - Differentiate closely related
objects or features, read codes and print, sort/count objects based on size,
color or other features.
What is the Key to Success (understanding MV Market & Industry) [goal of
CVP] Right Ans - Being able to competently specify and implement the
technology
True/False - Industrial PC or Embedded PC Based Systems include "Smart
Cameras" Right Ans - False
ASMV Right Ans - Application Specific Machine Vision
Fundamental Machine Vision Process Tasks: (In order) Right Ans -
acquisition‐>analysis‐>data and results
Solutions
What is Machine Vision? Right Ans - Machine vision is the substitution of
the human
visual sense and judgment capabilities with a
camera and computer to perform an inspection
task. It is the automatic acquisition and analysis
of images to obtain desired data for controlling
or evaluating a specific part or activity.
Machine Vision-Important Points Right Ans - - Automated AND Non‐
Contact
- Acquisition AND Analysis
- Data/information delivery
- Technologies AND methods
- An engineering discipline
Benefits of Using Machine Vision Right Ans - - Help eliminate dedicated
mechanical solutions
- Provide flexibility in automated processes
- Help to improve quality, enable related technologies, and reduce costs
What is Image Acquisition? Right Ans - It is 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? Right Ans - 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? Right Ans - Making real‐world decisions
about the information gained from the image. The link to the automation
process
, "Machine Vision" or "Computer Vision" (definition, differences) Right Ans -
Computer vision most commonly refers to the use of AI techniques for
classification of objects to make computers "see" in a perceptive way that
mimics humans; streaming video and continuous 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 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" Right Ans - Check presence/absence, detect
defects, verify assembly, differentiate colors, count objects
MV Definition - "Locate/Guide" Right Ans - Find randomly oriented
features or object is 2D and 3D space, perhaps provide real-world coordinates
for robotic or motion guidance
MV Definition - "Measure" Right Ans - Precisely measure objects or
features in both 2D and 3D space.
MV Definition - "Identify/Sort" Right Ans - Differentiate closely related
objects or features, read codes and print, sort/count objects based on size,
color or other features.
What is the Key to Success (understanding MV Market & Industry) [goal of
CVP] Right Ans - Being able to competently specify and implement the
technology
True/False - Industrial PC or Embedded PC Based Systems include "Smart
Cameras" Right Ans - False
ASMV Right Ans - Application Specific Machine Vision
Fundamental Machine Vision Process Tasks: (In order) Right Ans -
acquisition‐>analysis‐>data and results
