AI Driven ATM Premises using Raspberry pi Technology

Abstract: The project focuses on developing a smart ATM that leverages biometric security features like retina scanning, fingerprint recognition, and facial recognition to authenticate users instead of relying on traditional PINs. These advanced technologies aim to enhance transaction security, minimize fraud, and ensure that only the rightful account holder can access their funds. By integrating these features, the system intends to make banking safer, more efficient, and highly convenient for users. It emphasizes improving the reliability and ease of cash withdrawals while reducing the risk of unauthorized access. The innovative use of biometrics represents a shift towards modern, secure banking solutions. Overall, the project aspires to redefine the way individuals interact with ATMs, prioritizing safety anduserfriendliness.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-19
DOI
https://doi.org/10.22214/ijraset.2025.69114
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Driven ATM Premises using Raspberry pi Technology

B. R. Sanjeeva Reddy, Sandeep AS, B Gowrish, P M Basavaraja et al.
International Journal for Research in Applied Science and Engineering Technology
Mobile Agent-Based Network Management
article

AI Driven ATM Premises using Raspberry pi Technology

B. R. Sanjeeva Reddy, Sandeep AS, B Gowrish, P M Basavaraja, Mrs. Gouri D Malgi
article en

Abstract

Abstract: The project focuses on developing a smart ATM that leverages biometric security features like retina scanning, fingerprint recognition, and facial recognition to authenticate users instead of relying on traditional PINs. These advanced technologies aim to enhance transaction security, minimize fraud, and ensure that only the rightful account holder can access their funds. By integrating these features, the system intends to make banking safer, more efficient, and highly convenient for users. It emphasizes improving the reliability and ease of cash withdrawals while reducing the risk of unauthorized access. The innovative use of biometrics represents a shift towards modern, secure banking solutions. Overall, the project aspires to redefine the way individuals interact with ATMs, prioritizing safety anduserfriendliness.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Al-Ameen College of Pharmacy (IN)
Openalex Percentile: Top 92%
Mobile Agent-Based Network Management
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AI Driven ATM Premises using Raspberry pi Technology — B. R. Sanjeeva Reddy, Sandeep AS, et al. · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS