Breaking barriers smart ATM with open cv

thamimulansarikeceb2 7 views 6 slides Feb 27, 2025
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About This Presentation

Blind and deaf user using individually take cash in ATM


Slide Content

PRINCE SHRI VENKATESHWARA PADMAVATHY ENGINEERING COLLEGE (An Autonomous Institution)

PROBLEM STATEMENT The banking sector has largely overlooked individuals with disabilities, particularly those with hearing, speech, and visual impairments. Current ATMs do not offer the necessary accessibility features for such users, making it difficult for them to carry out basic financial transactions independently. The lack of inclusive solutions limits the autonomy and financial inclusion of these individuals, who face significant barriers in accessing banking services. These barriers include inadequate communication mechanisms for the speech-impaired and poor accessibility for blind or visually impaired users, who rely heavily on tactile feedback. As a result, these users are often forced to rely on external assistance, leading to challenges in privacy, security, and convenience. The "Breaking Barriers Smart ATM" aims to address these issues by incorporating innovative technologies, such as OpenCV, speech recognition, and synthesis, to create a fully accessible ATM tailored to the needs of users with hearing, speech, and visual impairments.

OBJECTIVES The primary objective of the "Breaking Barriers Smart ATM" project is to develop a highly accessible and user-friendly ATM designed specifically for individuals with hearing, speech, and visual impairments. The aim is to enable these users to independently and securely perform banking transactions, promoting financial inclusion and enhancing the quality of life for people with disabilities. By integrating OpenCV, speech recognition, and synthesis technologies, the ATM will deliver personalized user experiences, offering visual, audio, and haptic feedback. For deaf and dumb users, the system will incorporate speech synthesis and recognition to facilitate communication. Blind users will benefit from an audio feedback system and haptic interfaces that guide them through various transactions. The project’s objective is to remove barriers and provide equal access to banking services for all individuals, regardless of their disabilities, contributing to the empowerment of people with special needs in the financial sector.

PROPOSED SOLUTION The proposed solution involves the development of a Smart ATM with multiple accessibility features designed for deaf, dumb, and blind users, powered by OpenCV, speech recognition, speech synthesis, and haptic feedback technologies. The integration of OpenCV allows the ATM to visually adapt to user needs, recognizing gestures or sign language for the deaf and dumb users. The ATM employs speech synthesis to provide verbal instructions and transaction feedback, helping speech-impaired users interact seamlessly. For blind users, audio cues and haptic feedback allow them to navigate through the ATM's interface efficiently. The novelty of this system lies in its ability to deliver a fully personalized and interactive banking experience for individuals with different disabilities using cutting-edge technologies. This Smart ATM not only addresses the accessibility gap in existing banking systems but also fosters greater financial independence for individuals with disabilities, making banking services more inclusive and equitable for all.

SOFTWARE TOOL Hardware Used: ATM Machine Interface Microcontroller/Embedded System (Arduino) Camera Microphone Speaker Vibration Motors Card Reader Software Used: OpenCV Google Text-to-Speech (TTS) Google Speech-to-Text Custom Algorithms Embedded System Programming (e.g., Python/C++) ATM Software Interface

REFERENCES H. R. Hossain, M. N. Islam, M. A. Rahman, and M. S. Hossain, "Accessible ATM for People with Disabilities," IEEE Access, vol. 7, pp. 173551-173561, 2019, doi : 10.1109/ACCESS.2019.2959375. A. G. A. L. S. Gomes, L. P. S. Ribeiro, and A. R. B. M. Silva, "A Study on Inclusive ATM Interfaces for Users with Disabilities," IEEE Access, vol. 8, pp. 231445-231453, 2020, doi : 10.1109/ACCESS.2020.3012368. K. S. Sundararajan and A. P. Manogaran , "Speech-Enabled ATM Machines for Differently-abled Users," IEEE Access, vol. 8, pp. 232019-232028, 2020, doi : 10.1109/ACCESS.2020.3019452. M. S. Zulkifli , N. A. Rahim, and M. A. R. Kadir, "Development of Voice-Assisted ATM System for Disabled Users," IEEE Access, vol. 9, pp. 203410-203421, 2021, doi : 10.1109/ACCESS.2021.3074269. F. A. Rahman, S. M. A. Rahman, and S. R. Shah, "Designing an Inclusive ATM Interface for Visually Impaired and Speech-Impaired Users," IEEE Access, vol. 7, pp. 164467-164475, 2019, doi : 10.1109/ACCESS.2019.2952925.