The Fundamentals of Machine Vision

Question 1

Practical machine vision: If you understand the fundamentals, you can grasp the more complex concepts

Accepted Answer

True

Question 2

Most all imaging we recognize as “3D” uses contrast‐ based data from 2D images to extract 3D data.

Accepted Answer

True

Question 3

Machine vision software =

Accepted Answer

Execution

Question 4

Machine vision deep learning borrows from computer vision to enable ______________

Accepted Answer

inspection, classification, analysis, and guidance

Question 5

Which technology allows machine vision systems to identify and classify objects using AI?

Accepted Answer

Deep Learning

Question 6

The processed image contains points that are real‐world (x,y,z) positions

Accepted Answer

True

Question 7

what does ASMV stands for?

Accepted Answer

Application Specific Machine Vision

Question 8

addressing complex concepts without fundamentals usually doesn’t work.

Accepted Answer

True

Question 9

What does "field of view" (FOV) in machine vision refer to?

Accepted Answer

The area captured by the imaging sensor

Question 10

The working distance (WD)at which an entocentric lens will perform this task is dictated by the angular field of view.

Accepted Answer

True

Question 11

Which type of lighting is considered best for most machine vision applications?

Accepted Answer

LED

Question 12

What does "MTF" stand for in lens quality?

Accepted Answer

Modulation Transfer Function

Question 13

What is the key function of dedicated illumination in machine vision?

Accepted Answer

To create consistent contrast

Question 14

what is image resolution according to A3

Accepted Answer

any image sensor contains a specific number of pixels

Question 15

Smaller spatial resolution yields less detail.

Accepted Answer

False

Question 16

All images when acquired by a sensor and camera are “2 dimensional” a planar view of reflected or emitted light/energy.

Accepted Answer

True

Question 17

Which type of sensor is most commonly used in modern machine vision?

Accepted Answer

Complimentary Metal Oxide Semiconductor (CMOS)

Question 18

What lens does NOT have imaging angle

Accepted Answer

Telecentric

Question 19

Correct lighting must:

Accepted Answer

Highlight features to be detected relative to background, Create repeatable images regardless of part variation

Question 20

How does Capturing “light” work?

Accepted Answer

By creating an image by exposing arrays “photodiodes” to EM energy

Question 21

What is the principal role of lenses in machine vision systems?

Accepted Answer

To focus light onto the imaging sensor

Question 22

Application software is tightly linked to hardware components

Accepted Answer

True

Question 23

Which type of lighting technique is illustrated in the image?

Accepted Answer

Structured Light

Question 24

Sensors convert light into electrical voltage?

Accepted Answer

True

Question 25

Architectures and materials vary by sensor type

Accepted Answer

True

Question 26

Machine vision hardware =

Accepted Answer

Image delivery and control

Question 27

Energy increases as the wavelength gets shorter

Accepted Answer

True

Question 28

What is the most common lenses in machine vision?

Accepted Answer

Entocentric

Question 29

Which component is responsible for converting light into electrical signals in a camera?

Accepted Answer

Imaging Sensor

Question 30

What is machine vision?

Accepted Answer

Automated acquisition and analysis of images to control, evaluate a task

Question 31

Software in machine vision is both: Functional tools, and A graphical user interface

Accepted Answer

True

Question 32

Active “structured” illumination can create texture

Accepted Answer

True

Question 33

Which of the following is a key benefit of machine vision in automation?

Accepted Answer

Reducing mechanical solutions

Question 34

Overview of image acquisition (What is Resolution determined by?)

Accepted Answer

sensor size and quality of optics

Question 35

What is a "Lens"

Accepted Answer

Is a device that provides magnification of a scene for imaging

Question 36

Incorrect lighting will put the success, reliability, repeatability, and ease‐of‐use of the vision application at risk

Accepted Answer

True

Question 37

What is a "smart camera" in machine vision?

Accepted Answer

A camera with built-in processing capabilities

Question 38

Which imaging technique is used to acquire 3D data from 2D images?

Accepted Answer

Structured illumination

Question 39

optical resolution and quality can impacts system capability

Accepted Answer

True

Question 40

Overview of image acquisition (What is Feature contrast determined by?)

Accepted Answer

correct lighting technique and quality of optics

Question 41

The size of a pixel impacts light‐gathering capability

Accepted Answer

True

Question 42

What is the primary component shown in this image that is essential for capturing images in a machine vision system

Accepted Answer

Camera Sensor

Question 43

What type of lens Creates a highly “perpendicular” view of the scene without “perspective”

Accepted Answer

Telecentric

Question 44

What’s important in system software architecture for your application?

Accepted Answer

I/O and/or communication capability, correct hardware,sufficient algorithm depth and capability, operator interfacing and networking, Look for adequate logic or process configuration for the application

Question 45

What type of lens is shown in the image that is used to eliminate perspective errors?

Accepted Answer

Telecentric Lens

Question 46

________ determines what the camera “sees” in the real world

Accepted Answer

lenses

Question 47

What are the Components for special imaging cases

Accepted Answer

Embedded processing, 3D Imaging, Short Wave and thermal (mid wave and long wave) InfraRed, Multi‐ and HyperSpectral imaging

Question 48

Which sensor type uses a line-by-line imaging method?

Accepted Answer

Line Scan

Question 49

Machine vision software as ______ and ______

Accepted Answer

Code and Application

Question 50

What is the definition Light?

Accepted Answer

a necessary element for all imaging

Question 51

Software and application architectures vary

Accepted Answer

True

Question 52

Which key components make up a machine vision system?

Accepted Answer

Cameras, lighting, optics, software

Question 53

What is spatial resolution?

Accepted Answer

The real-world area covered by a single pixel

Question 54

What does a "general-purpose" machine vision system typically include?

Accepted Answer

External computer for processing and flexible components

Question 55

What is “CMOS”

Accepted Answer

Complimentary Metal Oxide Semiconductor

Question 56

Machine vision imaging devices can “see” an image without light

Accepted Answer

False

Question 57

The image below shows a sensor used for machine vision. Which type of sensor is it?

Accepted Answer

CMOS Sensor

Question 58

Machine vision systems create an image by sensing “light”

Accepted Answer

True

Question 59

Which term refers to the software's ability to perform tasks such as feature extraction, identification,and measurement?

Accepted Answer

image Analysis

Question 60

What is hyperspectral imaging used for?

Accepted Answer

Capturing multiple individual color wavelengths

Question 61

Which of the following is a typical software task in a machine vision system?

Accepted Answer

Image preprocessing and feature extraction

Question 62

When possible LED illumination is the best source

Accepted Answer

True

Question 63

What type of lens eliminates perspective errors?

Accepted Answer

Telecentric lens

The Fundamentals of Machine Vision

Questions 63

The Fundamentals of Machine Vision

Questions 63