Review of Artificial Intelligence Techniques for Visually Impaired People

Abstract

This review research paper presents an overview of developments in artificial intelligence (AI) methods that are aimed at enhancing the lives of people with visual impairments. The review outlines the results of studies that employ AI to solve problems experienced by the visually impaired community. First, the paper emphasizes the significance of AI-based solutions in supporting persons with impairments. It also gives the details of the datasets that have been used for training and evaluation purposes. It further goes on to mention the AI techniques that are common in this area, such as computer vision, natural language processing, and assistive technologies. Apart from that, the paper highlights one of the critical uses of AI for visually impaired people - object recognition and scene understanding. It was discovered that researchers utilized convolutional neural networks (CNNs) and other deep learning methods that allow the objects and their environments to be instantly recognized by persons who are visually impaired, thus possibly giving them more independence and a sense of security. Besides, it also covers technologies like text-to-speech and speech-to-text systems, which help in information gathering and communication. The paper further discusses aids that help with navigation and mobility, as well as systems that utilize AI to plan routes and detect obstacles promptly. To sum up, this paper reiterates the immense possibilities that AI technologies hold in significantly improving the quality of life of, and encouraging the inclusion of, impaired individuals. Hence, this review paper underscores the role of research and development in this regard to produce easy-to-use and inexpensive AI solutions that will empower people with visual impairments to live more independently and satisfactorily.