Improvising ATM security via Face Recognition

Project Code :TCMAPY1182

Objective

The objective of our project is to develop a highly secure ATM system that incorporates advanced biometric technology, specifically face recognition, along with traditional PIN authentication for money withdrawal. This system aims to provide users with a convenient and secure method of accessing their funds. In case of authentication failure, the system will capture the invalid PIN details and automatically notify the police authorities for further investigation. By integrating these advanced security measures, we aim to significantly reduce the risk of unauthorized transactions and fraudulent activities, thereby enhancing the overall security and reliability of the ATM system for both banks and customers.

Abstract

Automated Teller Machines also known as ATM’s are widely used nowadays by each and everyone. The ATM machine (Automated Teller Machine) is an electronic device that is used by the banks to perform banking tasks like withdrawal of money, transferring of money, and many to get many information about a user's bank account without the need to visit a bank.We are implementing a system where money will be withdraw using face recognition and pin authentication .If incase it fails it will shows display all the invalid pin details to police offices.


Keywords: face recognition , ATM, Banks

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W CONFIGURATION:

Β·         Processor                                 - I3/Intel Processor

Β·         Hard Disk                             - 160GB

Β·         Key Board                            - Standard Windows Keyboard

Β·         Mouse                                   - Two or Three Button Mouse

Β·         Monitor                                 - SVGA

Β·         RAM                                       - 8GB


S/W CONFIGURATION:


β€’      Operating System                  :  Windows 7/8/10

β€’      Server side Script                   :  HTML, CSS, Bootstrap & JS

β€’      Programming Language       :  Python

β€’      Libraries                                  :  Django, Pandas, Os.

β€’      IDE/Workbench                      :  PyCharm

β€’      Technology                             :  Python 3.10

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