Non-Contact Advanced ATM Security through Eye based Password Input for Enhanced Security

Authors

  • Risha Ram B.E. Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • Sagar Mohanta B.E. Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • C. Shreya B.E. Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • S. Sridhar B.E. Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • C. Hema Assistant Professor, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India

Keywords:

ARM7, Node MCU, LCD, RFID, Open CV, Facial landmark algorithm, Eye Aspect ratio, HAAR Cascade

Abstract

Automated Teller Machine (ATM) was introduced in the year 1959 for encouraging self-service in retail banking. The single smart card ATM for multiple bank accounts is used for security applications for withdrawing cash from ATM machines. In this security system the person can enter by using embedded system smart card, we can give access to the authorized person through the smart card (RFID) and Node MCU Module based OTP (One Time Password) and eye tracking module. The embedded system is going to be developed based on ARM7LPC 2148 microcontroller, whenever the person puts his smartcard on the reader the system will detect the authorized person then it asks for pin entry through eye ball movement. For unauthorized person Node MCU technology is used. The Node MCU module interfaced to the ARM7 microcontroller and the pin is entered by using Oven CV technology.

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Published

2021-07-17

How to Cite

[1]
R. Ram, S. Mohanta, C. Shreya, S. Sridhar, and C. Hema, “Non-Contact Advanced ATM Security through Eye based Password Input for Enhanced Security”, IJRESM, vol. 4, no. 7, pp. 149–152, Jul. 2021.

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Articles