Published March 30, 2025 | Version CC-BY-NC-ND 4.0
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Touchless ATM Using Augmented Reality Using TOTP Haar Cascade Algorithm

Creators

  • 1. Department of Соmрuter Science and Engineering, SRM Institute оf Science аnd Teсhnоlоgy, Rаmарurаm Саmрus, Сhennаi (Tamil Nadu), India.

Contributors

Contact person:

  • 1. Department of Соmрuter Science and Engineering, SRM Institute оf Science аnd Teсhnоlоgy, Rаmарurаm Саmрus, Сhennаi (Tamil Nadu), India.
  • 2. Department of Computer Science and Business Systems, Thiagarajar College of Engineering, Madurai (Tamil Nadu), India.

Description

Аbstrасt: Touchless ATMs, a new technology, offer a contactfree, hygienic, and convenient financial transaction experience. This innovative solution uses Augmented Reality (AR), Timebased One-Time Passwords (TOTP), and the HAAR Cascade Algorithm to create an interactive virtual interface, reducing physical contact and enhancing transaction security. The system uses a dual-layered authentication mechanism, utilizing facial recognition and time-based, one-time passwords (TOTP) to validate user identities and generate dynamic, session-specific codes. Financial institutions can deploy this system to upgrade their ATM networks, catering to diverse user demographics. Challenges include developing robust gesture recognition models, ensuring low latency in AR interactions, and integrating these advanced technologies into existing ATM infrastructures. However, advances in hardware and software, coupled with the decreasing cost of AR and machine learning technologies, make this solution viable and scalable.

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Additional details

Identifiers

DOI
10.35940/ijsce.F3506.15010325
EISSN
2231-2307

Dates

Accepted
2025-03-15
Manuscript received on 04 June 2024 | First Revised Manuscript received on 12 December 2024 | Second Revised Manuscript received on 26 February 2025 | Manuscript Accepted on 15 March 2025 | Manuscript published on 30 March 2025.

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