Proposal Based on Computer Vision and IoT for the Development of an Ergonomic and Low-Cost Assistance Device for People with Visual Disabilities

The research focuses on addressing the challenges faced by visually impaired individuals in identifying banknotes in the city of Arequipa. The development of an assistance device based on computer vision and IoT is proposed to help these individuals recognize different denominations of banknotes, as well as nearby objects. The state of the art in banknote and object recognition systems is reviewed globally and nationally, highlighting advances in technologies such as machine learning and computer vision. The study follows a Design Thinking approach, including empathy, definition, ideation, prototyping, and evaluation phases. The actions for creating a dataset of banknote images and implementing the real-time vision module in the device are detailed. Although tests with end-users are pending, data has been collected to identify areas for improvement in banknote and nearby object recognition. The research aims to improve the quality of life for visually impaired people in Arequipa by facilitating the identification of banknotes and objects through an economical assistance device based on computer vision and IoT.