CVP BASIC EXAM QUESTIONS WITH
DETAILED VERIFIED ANSWERS
"Machine Vision" or "Computer Vision" (definition, differences)
- correct answer- 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 answer- 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
"MTF" (modulation transfer function) - correct answer-
The ability of the lens to reproduce the lines at a usable
CONTRAST LEVEL
The modulation transfer function (MTF) determines how much
contrast in the original object is maintained by the detector. In
other words, it characterizes how faithfully the spatial frequency
content of the object gets transferred to the image.
ASMV - correct answer- Application Specific Machine
Vision
At the most basic level all systems use the same constituent
building blocks: (what are they?) - correct answer-
optics/illumination‐>imaging device‐>computing
device/software
Benefits of Using Machine Vision - correct answer- - Help
eliminate dedicated mechanical solutions
- Provide flexibility in automated processes
DETAILED VERIFIED ANSWERS
"Machine Vision" or "Computer Vision" (definition, differences)
- correct answer- 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 answer- 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
"MTF" (modulation transfer function) - correct answer-
The ability of the lens to reproduce the lines at a usable
CONTRAST LEVEL
The modulation transfer function (MTF) determines how much
contrast in the original object is maintained by the detector. In
other words, it characterizes how faithfully the spatial frequency
content of the object gets transferred to the image.
ASMV - correct answer- Application Specific Machine
Vision
At the most basic level all systems use the same constituent
building blocks: (what are they?) - correct answer-
optics/illumination‐>imaging device‐>computing
device/software
Benefits of Using Machine Vision - correct answer- - Help
eliminate dedicated mechanical solutions
- Provide flexibility in automated processes
