Identification of Indian Banknotes for Visually Impaired Individuals Using CNN
Aryan Nigade
Vishwakarma University, Pune, India
Abstrct:
This paper presents a novel approach to identifying Indian banknotes for visually impaired individuals using a MobileNetV2-based convolutional neural network (CNN) model. The proposed method leverages transfer learning and data augmentation techniques to classify Indian banknotes with high accuracy. The system is designed to assist visually impaired individuals in independently identifying the denomination of Indian currency, thereby promoting financial inclusion and independence.
Keywords:
Banknote identification, convolutional neural network, MobileNetV2, visually impaired assistance, transfer learning
Published on: 08-2024
DOI: https://doi.org/10.70295/SMDJ.2408023
Journal Name: Science Management Design Journal
Volume: 02
Issue: 03
Pages: 1-9
Month: August
Year: 2024