Research Article

Currency Notefor Visually Challenged People through Voice Message

Authors

  • Nadia Ghasemabadi * Department of Computer Engineering, Ayandegan Institute of Higher Education, Tonkabon, Iran.
  • Sanaz Hami Hassan Kiyadeh Department of Mathematics, The University of Alabama, Alabama, USA.
  • Ramin Goudarzi Karim Department of CIS, Stillman College, Tuscaloosa, Alabama, USA.
  • Zongke Bao School of Accounting, Zhejiang University of Finance and Economics, Hangzhou, China.

https://doi.org/10.48314/ceti.v1i3.35

Abstract

In present digital world, to get survive there is a need for an independent life, in case of visually challenged people who face lot of problems in their day-to-day life. They feel very strange when they are new to an environment. Visual information is the basic need to do a task, so visually challenged people get struggle because necessary information about the environment is not available for them. With the advanced technology, we can support the people who are visually challenged. This project is proposed to support those people who are visually challenged. Using spectacles currency image is captured, this captured image is sent to the mobile application, then using the deep learning and machine learning algorithm currency is recognized, then it compares the captured currency Features with the already  trained data set, After Recognizing it passes the information of the recognized currency by assisting them through voice command. This is more efficient in which visually challenged people able to do payments in Supermarkets, Shopping malls and all other sectors with the help of technology. 

Keywords

Visually challenged Mobile application Currency image Deep learning Assisting through voice command
References (12)
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How to Cite

Ghasemabadi, N., Hami Hassan Kiyadeh, S., Goudarzi Karim, R., & Bao, Z. (2024). Currency Notefor Visually Challenged People through Voice Message. Computational Engineering and Technology Innovations, 1(3), 150-159. https://doi.org/10.48314/ceti.v1i3.35

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