Paper Contents
Abstract
In the context of enhancing accessibility and security for visually impaired individuals during banking transactions, this study addresses the challenges faced by this demographic when using ATMs. Despite the presence of guided audio systems, their effectiveness is often limited, resulting in longer processing times compared to sighted users and potential security concerns. To mitigate these issues, our study proposes the implementation of an AI-driven payment system designed to activate upon detecting a visually impaired user approaching the ATM. This system incorporates iris and face detection for user identification and subsequent biometric verification through fingerprint recognition. To ensure security, the system suspends the transaction if interference is detected while a visually impaired person is using the ATM. Furthermore, this innovative approach enables visually impaired individuals to input transaction amounts through an audio system or a tactile keypad integrated into the ATM. The objective of this study is to provide visually impaired individuals with a safer and more efficient ATM experience, thereby enhancing their access to essential banking services.
Copyright
Copyright © 2024 JOSHU JOSEPH . This is an open access article distributed under the Creative Commons Attribution License.
