Third Generation ATM using Advanced Image Processing with Face Recognition

Authors

  • M. Jayamanmadha Rao Professor, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, India
  • Korada Santhosh Kumar Student, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, India
  • T. Raaga Bhavya Student, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, India
  • A. Venkat Student, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, India
  • B. V. Narendra Kumar Student, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, India
  • S. Shanmukha Rao Student, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, India

Keywords:

Open-cv, Python, Twilio, Fast2sms

Abstract

Automatic teller Machine (ATM) are widely available for users and procedure the ability to carry-out financial transactions and Banking functions in continuous time basis at any time. It made banking transactions effortless for customers current ATM’s have access card and pin authentication for unique information. This explains ATMs to lot of financial theft like card-theft, pin theft and stealing account holders’ information. So this project will make the multilevel high end security to find the authorized user in the ATM machine and make secured and more safety transaction and withdrawal money in ATM. High level security mechanism is provided by the consecutive actions after proceeding with pin number such as initially system use OpenCV library to analyze the person authorized identification by capturing the human face initially it begins with the entering the pin number if the entered pin is correct then the process continues with the face recognition. If the entered pin is wrong then it sends OTP to the registered mobile number by using the Twilio platform. If the entered OTP is correct then the process continues or else the transaction is declined. If the person is authorized it continues if the person is unauthorized, it sends the alert mail and alert SMS to the registered user by using the fast2sms messaging platform. After the completion of transaction, it provides persons image which was captured at the Time of withdrawal in the ATM has to be sent to the registered user mail.

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Published

21-06-2022

How to Cite

[1]
M. J. Rao, K. S. Kumar, T. R. Bhavya, A. Venkat, B. V. N. Kumar, and S. S. Rao, “Third Generation ATM using Advanced Image Processing with Face Recognition”, IJRESM, vol. 5, no. 6, pp. 185–188, Jun. 2022.

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Articles