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virtual keyboard and mouse to access the atm

S.Janani,Nandhini.R,Paradham bhuvaneswari

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:6         Issue:3         Year: 19 April,2025         Pages:2018-2022

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

In an emerging reality world, we introduce an innovative approach to ATM interactions by integrating advanced technologies such as facial recognition and hand gesture recognition. This system aims to reduce physical touchpoints, enhancing both safety and security— especially crucial during and after health crises like COVID-19. The process begins with facial recognition, where the user's identity is verified using the Haar Cascade algorithm. Once the face is matched successfully, the user is prompted to enter a unique password, not through a traditional keypad, but via hand gestures. This is made possible using Media Pipe, which detects and interprets hand movements to recognize numbers or signs corresponding to a secure password. To further improve the interface, we introduce a virtual keyboard and mouse system that allows users to interact with the ATM screen without touching it. The virtual mouse is controlled by tracking the user's index finger, enabling pointer movement and click actions based on specific gestures like pinching or tapping. Similarly, the virtual keyboard is displayed on the screen, allowing users to hover their finger over virtual keys to input PINs or transaction details. This method not only improves safety and reduces the spread of germs but also creates a futuristic and user-friendly ATM experience. By combining biometrics with gesture-based input, this solution represents a significant step forward in secure, contactless banking technology

Kewords

Hand gesture, face recognition, virtual keyboard, virtual mouse, cordless withdraw

Reference

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