Assisting Visually Impaired People to Detect Objects Using Machine Learning

Abstract

Navigating the world poses significant challenges for the visually impaired, compounded by the limited availability of suitable technological solutions. Traditional aids often fall short in providing real-time assistance and fail to address the nuanced complexities of everyday tasks. Our project aims to bridge this gap by introducing a comprehensive solution tailored to the unique needs of visually impaired individuals. By capturing live footage of their surroundings, our system offers immediate access to visual information previously inaccessible to the user. Through an advanced image processing module, the captured images are analyzed and interpreted in real-time, enabling the identification of objects, obstacles, and spatial cues. This information is then seamlessly converted into spoken feedback using a text-to-speech module, empowering users with clear auditory guidance to navigate their environment confidently. With a focus on usability and effectiveness, our project represents a significant step forward in enhancing the independence and quality of life for the visually impaired community. By leveraging cutting-edge technology, we aspire to create a more inclusive world where everyone has equal access to information and opportunities.