Touchless ATM Using Augmented Reality Using TOTP Haar Cascade Algorithm

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.

Authors

Publication Details

Journal
International Journal of Soft Computing and Engineering
Published
2025-03-26
DOI
https://doi.org/10.35940/ijsce.f3506.15010325
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Touchless ATM Using Augmented Reality Using TOTP Haar Cascade Algorithm

M. Gowtham Sethupathi, M. Azhagiri, J Jagadeesan
International Journal of Soft Computing and Engineering
Gaze Tracking and Assistive Technology
article

Touchless ATM Using Augmented Reality Using TOTP Haar Cascade Algorithm

M. Gowtham Sethupathi, M. Azhagiri, J Jagadeesan
article en

Abstract

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.

International Journal of Soft Computing and EngineeringVol. 15(1)
Openalex Percentile: Top 96%
Gaze Tracking and Assistive Technology
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