Prototype for Card-less Electronic Automated Teller Machine using Internet of Things
Marietta J1, Chandra Mohan B2, Hari Haran V3
1Marietta J, SCOPE, Vellore Institute of Technology, Vellore, India.
2Chandra Mohan B*, SCOPE, Vellore Institute of Technology, Vellore, India.
3Hari Haran V, SCOPE, Vellore Institute of Technology, Vellore, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4317-4319 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1417109119/2019©BEIESP | DOI: 10.35940/ijeat.A1417.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Automated Teller Machine (ATM’s) are devices used for the personal and business financial transactions or banking functions. It can be used without the help of the banking official. The ATM’s have become popular among the public for their availability and the user friendliness. Nowadays ATMs are available in many locations such as college, supermarket, gas station, banking center, airport, work location, hotels, and entertainment establishment, having a consistent high volume of user traffic. The existing ATM machine uses the ATM cards for the user access to authenticate their account in order to use the services of the ATM. There are several problems which includes card expiring, cost of maintenance, accessing customer account by others, waiting time before the issuance of the new card, card damaging, card cloning, shoulder surfing attack, skimming attack, eavesdropping attack, guessing attack. This paper presents the prototype for the card-less electronic Automated Teller Machine without the use of the card. The proposed system uses the face recognizer using the HAAR algorithm. Using the help IoT the unauthorized users could be tracked and if there is any mismatch with the authorized users the mail and SMS could be send to the registered users.
Keywords: ATM card, IoT, HAAR classifier, face recognition, biometric.