Detecting dangerous items in an X-Ray is an application of computer vision 1 pointTrueFalse
Question
Detecting dangerous items in an X-Ray is an application of computer vision
1 point
True
False
Solution
The statement is True.
Detecting dangerous items in X-ray images is indeed an application of computer vision. Computer vision refers to the field of artificial intelligence that enables computers to interpret and understand visual information from the world, which can include images or videos. X-ray imaging is commonly used in security screening processes, such as at airports or in buildings, where the ability to accurately identify prohibited items (like weapons, explosives, or other contraband) is necessary.
In this application, algorithms and machine learning techniques are deployed to analyze the features of the objects depicted in the X-ray images. This analysis enables the system to differentiate between benign items (like shoes or bags) and potentially hazardous materials. The accuracy of these systems is crucial for ensuring security, as false negatives (missing a dangerous object) or false positives (wrongly identifying harmless items as threats) can have serious implications.
Similar Questions
If we were using line drawing on x-rays to determine restrictions, what technique would it be?Group of answer choicesGonsteadDiversifiedToggleSOT
X rays from astronomical objects can only be detected from telescopes in space.
Which physical hazard can be controlled by using welding goggles and barrier screens during welding operations? Group of answer choicesHeatRadonUV RaysX-rays
Q.21 Which of the following are Computer Vision tasks?1. Image Classification2. Object Detection3. Object Localization4. All of the above
What is the primary goal of motion detection?a.To detect object boundaries b.To estimate object speeds c.To identify regions with motiond.To stabilize videos
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.