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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 11, ISSUE 5, MAY 2024

Object Recognition and Currency Detection for Visually Impaired People

Lasya Babu KM, Madhu S Salimath, Niriksha D, Tejaswini L, Roopa K Murthy

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Abstract: This research presents an innovative approach to assist people with visual impairments by merging both recognition of objects and currency detection through YOLO (You Only Look Once) model. This model, renowned for its real-time detection of object capabilities, is adapted to identify both objects and currency notes in live camera feeds. Using computer vision and deep learning, the system provides instant auditory guidance to help visually impaired individuals recognize and handle currency notes better. This implementation seeks to enhance the independence and accessibility of visually impaired people across different situations. The results from experiments confirm the precision and efficacy of this approach in recognizing objects and currency notes in real-world scenarios.

Keywords:
YOLO, Object Recognition

How to Cite:

[1] Lasya Babu KM, Madhu S Salimath, Niriksha D, Tejaswini L, Roopa K Murthy, “Object Recognition and Currency Detection for Visually Impaired People,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.11509

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.