Published Paper Details:

Face recognition is an important application of the Image process in growing to its use in many fields. Identification of individuals in an organization for the purpose of Payment is one such application of face recognition. The prevalent techniques and methodologies for Payment involves Frauds and Handling of Cards and remembering long passwords. The proposed system aims to overcome the pitfalls of the existing systems and provides features such as detection of faces, a secure payment web application, a user-friendly system. In our facial identity project, a computer system will be able to find and recognize human faces fast and precisely using Web Camera (i.e Live Detection). Numerous algorithms and techniques have been developed to improve facial identity performance, but the concept to be implemented here is Deep Learning. It helps detect the user's face by retracing it with the stored coordinates while doing the payment process. The details of images and personal details are stored in the database. Live Detection of Face is involved while storing and retrieving the face coordinates. Facial identification makes the Payment method very simple for users. In addition, there will be two different portals in our system. The system includes the Admin portal and User portal. In Admin-portal, there is one admin from one particular bank (say ICICI). Admin has four different options, first to view the List of Customers, second to Add User, third to Update an existing user, and fourth to Delete any existing user. In add user, the admin has to provide all the necessary details of a user. In Update user, admin can update the details of the user. In Delete user, the user can be deleted by the admin. In User-portal, users can sign-up only if the admin has added the user to our system. During sign-up user has to fill in some necessary details and then OTP is sent on the registered email. After confirmation, the Facial Recognition part comes, where the user's Facial details are stored in our system. The user can now log in and make payments through our system. Website Link: https://smile-pay.herokuapp.com/