Date of Publication :29th March 2024

Abstract:The "Machine Learning-based Currency Detection for Visual Impairment Assistance" project is a great example of how technology can be used to improve the lives of people with disabilities. The system uses a camera module and pre-trained machine learning models to classify banknote images, providing real-time audio feedback and a user-friendly interface. This means that visually impaired individuals can accurately identify currency denominations without the need for sighted assistance. The system works by first capturing an image of the banknote using the camera module. The image is then processed by the machine learning models, which identify the banknote denomination. The classification results are then spoken aloud by the system, allowing the visually impaired individual to identify the banknote easily. The system is designed to be user-friendly and affordable. The use of ESP camera modules makes the system relatively inexpensive to build, making it accessible to a wider range of people. The "Machine Learning-based Currency Detection for Visual Impairment Assistance" project is a promising new technology that has the potential to make a real difference in the lives of visually impaired individuals. The system is accurate, affordable, and user-friendly, making it a valuable tool for people who are blind or have low vision.

Reference :