CVP Basic Vision Exam Combined, CVP Notes, CVP Basic
Exam, CVP Basic Final Exam 2026 -2027 \Q&A LATEST
UPDATE
What is Image Analysis?
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?
Making real-world decisions about the information gained from the image.
The link to the automation process
,"Machine Vision" or "Computer Vision" (definition, differences)
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"
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
MV Definition - "Measure"
Precisely measure objects or features in both 2D and 3D space.
, MV Definition - "Identify/Sort"
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]
Being able to competently specify and implement the technology
True/False - Industrial PC or Embedded PC Based Systems include "Smart
Cameras"
False
ASMV
Application Specific Machine Vision
Fundamental Machine Vision Process Tasks: (In order)
acquisition->analysis->data and results
At the most basic level all systems use the same constituent building blocks:
(what are they?)
optics/illumination->imaging device->computing device/software
Exam, CVP Basic Final Exam 2026 -2027 \Q&A LATEST
UPDATE
What is Image Analysis?
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?
Making real-world decisions about the information gained from the image.
The link to the automation process
,"Machine Vision" or "Computer Vision" (definition, differences)
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"
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
MV Definition - "Measure"
Precisely measure objects or features in both 2D and 3D space.
, MV Definition - "Identify/Sort"
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]
Being able to competently specify and implement the technology
True/False - Industrial PC or Embedded PC Based Systems include "Smart
Cameras"
False
ASMV
Application Specific Machine Vision
Fundamental Machine Vision Process Tasks: (In order)
acquisition->analysis->data and results
At the most basic level all systems use the same constituent building blocks:
(what are they?)
optics/illumination->imaging device->computing device/software
