On 8th November, 2016, the Indian government announced that it was banning the use of 500 and 1000-rupees currency notes from midnight.

The Indian public would have to change their banned currency notes for new ones at bank by the end of the year.

It may cause very huge effect on every filed of market like texttile bazar, diamond bazar and financial market of India. This steps of Indian government is came to be known as demonetisation, that cause immense suffering to the Indian public and damage to the Indian economy for that few months and years.

Because of this demonetisation, it affected on digital payments space in India has attracted a lot of attention. It may occurs more cashless transaction in every field.

At that time, every bussiness may affect with this huge step of government. Every people of India have trouble in changing their old notes with new one. They have to stand in line for replacing their old currency.

Aslo, It may affect on black money but not like decided goal. Only normal percentage of black money will display by people.

This class can detect one face in images ATM.

Having the capacity to perceive faces on pictures can be helpful for some, reasons like recognizing a client that is getting to a website and can share the image of his face taken utilizing his Web cam.

This package can help processing faces in a picture by detecting the contour of a face in the image and then cropping the image, so only the relevant part of the picture that contains the face is extracted.

This bundle can help preparing faces in an image by distinguishing the shape of a face in the picture and after that editing the picture, so just the significant piece of the image that contains the face is extricated.

The basic purpose of this library is : Scan, recognize and crop faces in images to identify user

Here follows in more details how it works:

It can take an image file and analyze it ot check if it contains a face.

It mainly works on images which provided by user of system or website. It is not for live face detection.

It can also crop a face that it may detect and save it to another image file.

It crops faces from image and match it with user’s data.

for using this library, we need to provide image to the package for recognize face which we want to check.

Above image gives you an more idea about how this package handles image for face detection process.