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3. Which application uses Computer Vision to identify facial dynamics and apply filters?

Ans. Social Networking Applications (e.g., Snapchat, Instagram)
4. In Google Translate, which feature uses Computer Vision to translate text without typing word-for-word?
Ans. Camera Feature
5. What is the term used in the healthcare industry to describe techniques creating visualizations of the
body’s interiors?

Ans. Medical Imaging
6. What technology is often used in the droning industry to recognize images captured by drones?
Ans. Convolutional Neural Network (CNN)

7. What does CNN stand for, and where is it mainly used in computer vision?
Ans. CNN stands for Convolutional Neural Network. It is mainly used in image recognition and classification.
8. What is the task in computer vision that combines object localization and object classification?

Ans. Object Detection

E. Short answer type question.
1. What is the primary focus of Computer Vision?
Ans. Computer Vision focuses on teaching machines how to see and understand the visual world.

2. Give an example of a practical application of Computer Vision in the manufacturing industry.
Ans. In manufacturing, machine vision (a closely allied field) is used for automated inspections, identifying
defects, and optimizing operational processes on production lines.
3. What is the fundamental technology behind Facial Recognition Software?

Ans. Facial Recognition Software relies on Computer Vision as its fundamental technology, used in security
protocols and payment procedures.
4. How does Google Translate’s camera feature assist in language translation?
Ans. The camera feature detects the source language by capturing text through the phone’s camera, making
translation accessible without typing word-for-word.
5. What role does Computer Vision play in Autonomous Cars?

Ans. Computer Vision is fundamental in developing hands-free technology for autonomous cars, enabling
object identification, navigation, and environment monitoring for safe driving.
6. What is the primary goal of medical image analysis in the healthcare industry?
Ans. Medical image analysis, using Computer Vision, aims to increase clinical examination efficiency and aid
in diagnosing complex diseases through the analysis of medical images.

7. In which industry are OCR and digital documentation significant, and how do they enhance operations?
Ans. OCR (Optical Character Recognition) is crucial in digital documentation, automating encoding and
transcription of documents, saving time and operational costs in various business functions.
8. What role does Computer Vision play in Augmented and Mixed Reality applications?
Ans. In Augmented and Mixed Reality, Computer Vision detects real-world objects, allowing computing
devices to overlay virtual objects on the physical environment.

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