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Computer Vision (CV)

Computer Vision is a subfield of artificial intelligence and machine learning that develops techniques to train
computers to interpret and understand the contents inside images. The term ‘Computer Vision’ refers to the
process of teaching machines how to see and perceive the human world.

The various applications of Computer Vision are as follows:

u Distance Detector: Computer vision is widely used in distance detectors which are used to track the
employee or customer movement and use depth sensors to assess the distance between them. Depending
on their position, the system draws a red or green circle around the person.

u Driverless Cars: Computer vision is one of the central enabling technologies in driverless cars for detecting
traffic signals, lights and weather conditions.

u Automation of Difficult Tasks: Computer vision plays a crucial role in the automation of complicated tasks
such as diagnosing cancerous moles in skin images or finding symptoms in x-ray and MRI scans.

u Facial Recognition: Computer vision also plays an important role in facial recognition smart devices. In
China, many stores are now using facial recognition technology to provide a smoother payment experience
to customers. Instead of using credit cards or mobile payment apps, customers only need to show their face
to a computer vision–equipped camera.
Natural Language Processing (NLP)

Natural Language Processing is a field of AI that can understand, analyse, manipulate and interpret human’s
languages. The basic necessity of NLP is to instruct an intelligent system such as a robot or want to hear decisions
from a dialogue-based clinical expert system.

You should remember that the input and output data of an NLP system can be either voice or written text. For
example, Microsoft Word and Grammarly are the word processors that use NLP to check grammatical accuracy
of texts.

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