Authors : Swati Rai; Adnan Alam; Ish Gupta; Dr. Narayanamoorthi M

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : http://tinyurl.com/ye2ys66n

Scribd : http://tinyurl.com/3t7d3vbu

DOI : https://doi.org/10.5281/zenodo.10559489

Abstract : Visual impairment, affecting 20% of India's population, poses challenges to independence and mobility. To address this issue, an Integrated Machine Learning System has been developed, enhancing autonomy and safety. It offers real-time object recognition, clear voice feedback, and unique distance calculations for safety. Designed with a user-centric approach, the system allows customization, supports offline functionality, and addresses limited internet access in certain regions. Continuous improvement and collaboration with the visually impaired community, along with robust data privacy measures, are integral to this initiative. This effort significantly improves the quality of life for visually impaired individuals in India, fostering inclusivity and independence. Beyond object recognition, the system's real- time distance calculations provide safety through proximity warnings, enhancing independence and safety for visually impaired individuals.

Keywords : Visually Impaired, Artifical Intelligence, Object Detection, Single Shot Detection