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F. Long answer type question.
1. Explain the concept of Computer Vision and its role in artificial intelligence.

Ans. Computer Vision is a field in AI that teaches machines to interpret and understand the visual world. It
deals with extracting information from images, including videos and 3D scans. Its applications range
from manufacturing to healthcare, where machines mimic human visual perception.
2. How does Computer Vision contribute to the manufacturing industry, and what is the role of machine
vision?
Ans. In manufacturing, Computer Vision aids in automated inspections and identifying defects on production
lines. Machine vision, a closely allied field, optimizes operational processes by detecting irregular events
and inconsistencies.
3. Discuss the role of Computer Vision in Google Translate, highlighting the camera feature’s significance.
Ans. Google Translate’s camera feature utilizes Computer Vision to translate large blocks of text by capturing
images. Users can point their phone’s camera at foreign language text, and the app detects the source
language, providing translations without manual typing.
4. Explain the applications of Computer Vision in the healthcare industry, focusing on medical imaging.

Ans. Medical imaging, a term associated with healthcare, utilizes Computer Vision for visualizing the
body’s interiors. It plays a crucial role in diagnosing diseases, offering doctors efficient tools for clinical
examination and intervention.

5. Explain the concept of Optical Character Recognition (OCR) in the context of Computer Vision, emphasizing
its applications.
Ans. OCR, a technology within Computer Vision, automates encoding and transcription of digital documents.
It extracts information from documents and PDFs, enhancing the documentation process, saving time,
and improving customer operations.

G. Application based questions.
1. How does Computer Vision contribute to the field of autonomous cars?
Ans. Computer Vision is fundamental in autonomous cars, enabling them to identify objects, navigate routes,
and monitor the environment. This technology ensures safe transportation by overcoming driving
obstacles without human intervention.
2. Discuss the practical applications of Optical Character Recognition (OCR) in the business domain.

Ans. OCR, based on Computer Vision, transforms and automates business functions by encoding and
transcribing documents digitally. It efficiently extracts information from digitized documents, including
languages, digits, currency symbols, enhancing documentation processes and customer operations.

H. Assertion and reason-based questions.

1. Assertion: Computer Vision is a branch of artificial intelligence.
Reason: Computer Vision focuses on teaching machines how to see and understand the visual world,
extracting information from images.
a. Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
b. Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.

c. Assertion is true, but Reason is false.
d. Both Assertion and Reason are false.

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