CVP Basic Verified Multiple Choice and
Conceptual Actual Emended Exam Questions
With Reviewed 100% Correct Detailed Answers
Guaranteed Pass!!Current Update
1. What is the primary function of a machine vision system?
a) Manual object inspection
b) Acquisition and interpretation of images for automated decision-making
c) Display enhancement for human users
d) Optical storage and archiving
Answer: b
2. Which of the following best describes a characteristic of machine vision?
a) Requires human operation
b) Based on thermal imaging only
c) Non-contact and automated
d) Limited to quality control
Answer: c
3. What discipline does machine vision most closely relate to?
a) Civil engineering
b) Mechanical drawing
c) Electrical and computer engineering
d) Organic chemistry
Answer: c
4. Machine vision is most often used to:
a) Track employee performance
b) Automate image-based inspection or control tasks
c) Produce marketing images
,d) Enhance video streaming
Answer: b
5. Which component is essential for capturing visual data in machine vision?
a) Processor
b) Lens
c) Microphone
d) Monitor
Answer: b
6. What type of lighting is commonly used in image acquisition for machine
vision?
a) Ambient lighting
b) Fluorescent tubes
c) LED lighting
d) UV light exclusively
Answer: c
7. What is the purpose of image acquisition in machine vision?
a) Encode video signals
b) Create artistic effects
c) Capture usable images for analysis
d) Compress and store data
Answer: c
8. Which factor is most critical for optimal image acquisition?
a) Image brightness only
b) Background color
c) Lighting angle and intensity
d) Display resolution
Answer: c
9. What is the goal of pre-processing in image analysis?
a) Improve aesthetics of the image
b) Optimize image quality for better analysis
, c) Reduce file size
d) Annotate results
Answer: b
10. Feature extraction in machine vision refers to:
a) Identifying meaningful patterns or objects in an image
b) Enhancing color saturation
c) Adding metadata
d) Smoothing video playback
Answer: a
11. Object segmentation is a step where:
a) Images are split for storage
b) An object is isolated from the background
c) Pixels are re-colored
d) Data is backed up
Answer: b
12. Which mathematical technique is often used in edge detection?
a) Fourier transform
b) Convolution
c) Polynomial regression
d) Bayesian estimation
Answer: b
13. What is typically used to communicate machine vision results to automation
equipment?
a) USB port
b) GUI interface
c) Digital I/O or industrial network protocols
d) Internet browser
Answer: c
14. Which of the following is NOT a use of machine vision in automation?
a) Sorting parts
Conceptual Actual Emended Exam Questions
With Reviewed 100% Correct Detailed Answers
Guaranteed Pass!!Current Update
1. What is the primary function of a machine vision system?
a) Manual object inspection
b) Acquisition and interpretation of images for automated decision-making
c) Display enhancement for human users
d) Optical storage and archiving
Answer: b
2. Which of the following best describes a characteristic of machine vision?
a) Requires human operation
b) Based on thermal imaging only
c) Non-contact and automated
d) Limited to quality control
Answer: c
3. What discipline does machine vision most closely relate to?
a) Civil engineering
b) Mechanical drawing
c) Electrical and computer engineering
d) Organic chemistry
Answer: c
4. Machine vision is most often used to:
a) Track employee performance
b) Automate image-based inspection or control tasks
c) Produce marketing images
,d) Enhance video streaming
Answer: b
5. Which component is essential for capturing visual data in machine vision?
a) Processor
b) Lens
c) Microphone
d) Monitor
Answer: b
6. What type of lighting is commonly used in image acquisition for machine
vision?
a) Ambient lighting
b) Fluorescent tubes
c) LED lighting
d) UV light exclusively
Answer: c
7. What is the purpose of image acquisition in machine vision?
a) Encode video signals
b) Create artistic effects
c) Capture usable images for analysis
d) Compress and store data
Answer: c
8. Which factor is most critical for optimal image acquisition?
a) Image brightness only
b) Background color
c) Lighting angle and intensity
d) Display resolution
Answer: c
9. What is the goal of pre-processing in image analysis?
a) Improve aesthetics of the image
b) Optimize image quality for better analysis
, c) Reduce file size
d) Annotate results
Answer: b
10. Feature extraction in machine vision refers to:
a) Identifying meaningful patterns or objects in an image
b) Enhancing color saturation
c) Adding metadata
d) Smoothing video playback
Answer: a
11. Object segmentation is a step where:
a) Images are split for storage
b) An object is isolated from the background
c) Pixels are re-colored
d) Data is backed up
Answer: b
12. Which mathematical technique is often used in edge detection?
a) Fourier transform
b) Convolution
c) Polynomial regression
d) Bayesian estimation
Answer: b
13. What is typically used to communicate machine vision results to automation
equipment?
a) USB port
b) GUI interface
c) Digital I/O or industrial network protocols
d) Internet browser
Answer: c
14. Which of the following is NOT a use of machine vision in automation?
a) Sorting parts
