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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 creati ng visualizati ons of the
body’s interiors?
Ans. Medical Imaging
6. What technology is oft en used in the droning industry to recognize images captured by drones?
Ans. Convoluti onal Neural Network (CNN)

7. What does CNN stand for, and where is it mainly used in computer vision?
Ans. CNN stands for Convoluti onal Neural Network. It is mainly used in image recogniti on and classifi cati on.
8. What is the task in computer vision that combines object localizati on and object classifi cati on?
Ans. Object Detecti on

E. Short answer type questions.
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 practi cal applicati on of Computer Vision in the manufacturing industry.

Ans. In manufacturing, machine vision (a closely allied fi eld) is used for automated inspecti ons, identi fying
defects, and opti mizing operati onal processes on producti on lines.

3. What is the fundamental technology behind Facial Recogniti on Soft ware?
Ans. Facial Recogniti on Soft ware relies on Computer Vision as its fundamental technology, used in security
protocols and payment procedures.
4. What role does Computer Vision play in Autonomous Cars?
Ans. Computer Vision is fundamental in developing hands-free technology for autonomous cars, enabling
object identi fi cati on, navigati on, and environment monitoring for safe driving.
5. What is the primary goal of medical image analysis in the healthcare industry?

Ans. Medical image analysis, using Computer Vision, aims to increase clinical examinati on effi ciency and aid
in diagnosing complex diseases through the analysis of medical images.

6. In which industry are OCR and digital documentati on signifi cant, and how do they enhance operati ons?
Ans. OCR (Opti cal Character Recogniti on) is crucial in digital documentati on, automati ng encoding and
transcripti on of documents, saving ti me and operati onal costs in various business functi ons.
7. What role does Computer Vision play in Augmented and Mixed Reality applicati ons?
Ans. In Augmented and Mixed Reality, Computer Vision detects real-world objects, allowing computi ng
devices to overlay virtual objects on the physical environment.
8. How does Computer Vision contribute to the fi eld of autonomous cars?
Ans. Computer Vision is fundamental in autonomous cars, enabling them to identi fy objects, navigate routes,
and monitor the environment. This technology ensures safe transportati on by overcoming driving
obstacles without human interventi on.
9. Discuss the practi cal applicati ons of Opti cal Character Recogniti on (OCR) in the business domain.
Ans. OCR, based on Computer Vision, transforms and automates business functi ons by encoding and
transcribing documents digitally. It effi ciently extracts informati on from digiti zed documents, including
languages, digits, currency symbols, enhancing documentati on processes and customer operati ons.

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