Page 45 - KEC Khaitan C8.2 Flipbook
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The two technologies required to accomplish computer vision works are as follows:

                   Machine Learning (Deep Learning)
                   Convolutional Neural Network (CNN)

                 Machine learning  enables a computer  to understand the context  of visual data  by using
                 algorithmic models. To achieve this, enough data needs to be fed through the model so that the
                 computer can teach itself to recognise images.

                 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 NLP 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.




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