Generative AI-Based Currency Detector for Visually Impaired

A visually challenged person may find it challenging to distinguish between various denominations of currency. For those who are blind, this process is still challenging even though most of the Indian currency is written in unique characters. Portable solutions for isolation have emerged because of a shortage of available tools. This study details the creation and evaluation of a new assistive technology that uses an easy-to-use currency detection system to improve the financial independence of people with visual impairments. The apparatus employs sophisticated image processing techniques and deep learning algorithms to precisely recognize different banknote denominations. A compact, user-friendly interface that provides audio feedback to convey the denomination to the user ensures ease of use and privacy. A portable computer device connected to a high-resolution camera forms the basis of the system architecture. On this device, a convolutional neural network (CNN) model is trained using many datasets of cash photos in various orientations and light conditions. A high recognition accuracy rate is attained by the model, which is essential for real-world uses. Voice commands and tactile buttons work together to make it easy for users to engage with the gadget. Many daily living tasks are made more difficult by the prevalence of visual impairment, particularly those that require the recognition of currency, leaving the affected person dependent on others to complete financial transactions. Its ability to quickly and accurately identify different currencies and output format in audio feedback has proven to be highly beneficial for those with visual impairments who travel or live in multicultural environments. Moreover, positive feedback from user experience evaluations indicates that the system's practical impact extends beyond its technical achievements, with considerable improvements in confidence during financial transactions and ease of use. To ease that dependency, a unique Currency Detector System (CDS) made especially for visually impaired individuals has been created.

Authors

Institutions

Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/sparc61891.2024.10828978
Primary Topic
Currency Recognition and Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI-Based Currency Detector for Visually Impaired

B Guru Sneha, Bhupendra Kumar, E. Geetha Rani, N Harsha Vardhan et al.
Currency Recognition and Detection
article

Generative AI-Based Currency Detector for Visually Impaired

B Guru Sneha, Bhupendra Kumar, E. Geetha Rani, N Harsha Vardhan, D. Anusha, Sandyarani Vadlamudi
article en

Abstract

A visually challenged person may find it challenging to distinguish between various denominations of currency. For those who are blind, this process is still challenging even though most of the Indian currency is written in unique characters. Portable solutions for isolation have emerged because of a shortage of available tools. This study details the creation and evaluation of a new assistive technology that uses an easy-to-use currency detection system to improve the financial independence of people with visual impairments. The apparatus employs sophisticated image processing techniques and deep learning algorithms to precisely recognize different banknote denominations. A compact, user-friendly interface that provides audio feedback to convey the denomination to the user ensures ease of use and privacy. A portable computer device connected to a high-resolution camera forms the basis of the system architecture. On this device, a convolutional neural network (CNN) model is trained using many datasets of cash photos in various orientations and light conditions. A high recognition accuracy rate is attained by the model, which is essential for real-world uses. Voice commands and tactile buttons work together to make it easy for users to engage with the gadget. Many daily living tasks are made more difficult by the prevalence of visual impairment, particularly those that require the recognition of currency, leaving the affected person dependent on others to complete financial transactions. Its ability to quickly and accurately identify different currencies and output format in audio feedback has proven to be highly beneficial for those with visual impairments who travel or live in multicultural environments. Moreover, positive feedback from user experience evaluations indicates that the system's practical impact extends beyond its technical achievements, with considerable improvements in confidence during financial transactions and ease of use. To ease that dependency, a unique Currency Detector System (CDS) made especially for visually impaired individuals has been created.

Alliance University (IN)
Decent work and economic growth
Openalex Percentile: Top 75%
Currency Recognition and Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.