Empowering the visually impaired: A YOLO-v5 CNN-based android app for currency recognition and object detection

Harshit Kumar; Anna Paul; Anjana V P; Anandakrishnan S Babu; Gopakumar V T

doi:10.30574/wjarr.2023.19.2.1625

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 || CrossRef DOI

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Empowering the visually impaired: A YOLO-v5 CNN-based android app for currency recognition and object detection

Harshit Kumar ¹, Anna Paul ¹, Anjana V P ¹, Anandakrishnan S Babu ¹and Gopakumar V T ^{2, *}

¹ Adi Shankara Institute of Engineering and Technology, APJ Abdul Kalam Kerala Technological University, Kaladi, Kerala, India, 683574.

² Mar Baselios Chritian College of Engineering & Technology, APJ Abdul Kalam Kerala Technological University, Kuttikkanam, Peermade, Idukki, Kerala, India 68553.

Research Article

World Journal of Advanced Research and Reviews, 2023, 19(02), 1459-1466

Article DOI: 10.30574/wjarr.2023.19.2.1625

DOI url: https://doi.org/10.30574/wjarr.2023.19.2.1625

Publication history

Received on 01 July 2023; revised on 17 August 2023; accepted on 19 August 2023

Abstract

This paper presents an Android mobile Application (app) that assists people with visual impairments in currency recognition and general object detection. Our project's goal is to assist visually impaired individuals by offering them a practical alternative with a cost-effective solution. The YOLO-v5 CNN model-based currency note detection and object recognition app is proposed for this purpose, and we find it is fast and accurate. The app can identify rupee notes with denominations of 10 new, 10 old, 20 new, 20 old, 50 new, 50 old, 100 new, 100 old, 200, 500, 2000, and general objects such as mobile phones, laptops, chair, water bottle, vehicles, persons, book, door, watch etc.

Keywords

Currency recognition; General object detection; YOLO-v5; CNN component; Android studio; GitHub; Google Colab.

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How to cite this article

Harshit Kumar, Anna Paul, Anjana V P, Anandakrishnan S Babu and Gopakumar V T. Empowering the visually impaired: A YOLO-v5 CNN-based android app for currency recognition and object detection. World Journal of Advanced Research and Reviews, 2023, 19(2), 1459-1466. Article DOI: https://doi.org/10.30574/wjarr.2023.19.2.1625

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Empowering the visually impaired: A YOLO-v5 CNN-based android app for currency recognition and object detection

Harshit Kumar ¹, Anna Paul ¹, Anjana V P ¹, Anandakrishnan S Babu ¹and Gopakumar V T ^{2, *}

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Empowering the visually impaired: A YOLO-v5 CNN-based android app for currency recognition and object detection

Harshit Kumar 1, Anna Paul 1, Anjana V P 1, Anandakrishnan S Babu 1 and Gopakumar V T 2, *

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Harshit Kumar ¹, Anna Paul ¹, Anjana V P ¹, Anandakrishnan S Babu ¹and Gopakumar V T ^{2, *}