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Convolutional Neural Network (CNN) helps a machine learning model to process the image by
breaking it down to pixels. It then transforms it into digital data by applying algorithms before
comparing the captured images with those stored in the database. These systems are used to
identify an individual based on their facial features like spacing of eyes, ears, chin, etc.
Some examples of AI applications based on computer vision are as follows:
Face recognition systems used at workplace and schools to mark attendance.
Biometric software is used by law enforcement agencies to scan faces in CCTV footages.
Image enabled searches are initiated at online shopping websites using camera.
Selfie-based authentication is initiated for banking and payments app using face recognition
technology.
NATURAL LANGUAGE PROCESSING
Natural Language Processing (NLP) is the ability of an AI system to understand human
language as it is spoken. Computer cannot understand the language we speak. Hence, we need
software and programming languages to communicate with the computer.
NLP helps the machine understand the natural languages of humans. It gives us an opportunity
to speak to the machine in our language.
NLP works by breaking-down a language into shorter elementary pieces to understand the
relation between the pieces and explore how these pieces work together to create meaning.
The human eye is estimated at 576
megapixels with complex processing,
while AI machine vision cameras can
reach up to 100 megapixels.
Some examples of AI applications based on Natural Language Processing are as follows:
Chatbot applications that interact with humans are available all the time which helps the
customers resolve their queries, thus improving the customer's experience.
Translation tools such as Google Translate, and Microsoft Translate helps in translating the
local language for a tourist.
Personal assistant applications such as Google Assistant, Siri, and Alexa also use NLP.
uiz Bee Write the names of three different domains of AI.
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