Authors : Shyalan Ramesh

Volume/Issue : Volume 8 - 2023, Issue 6 - June

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/yrjvwppv

DOI : https://doi.org/10.5281/zenodo.8103905

Abstract : This research paper presents Sight Sense, an innovative project that addresses the challenges faced by individuals with visual impairments in navigating their surroundings. Sight Sense employs cutting-edge technologies, such as computer vision, speech recognition, and machine learning, to provide a comprehensive solution for enhancing mobility and independence for individuals with limited vision. By integrating facial recognition, real-time object detection, and distance identification capabilities into a customizable helmet design, Sight Sense offers a personalized and adaptable solution for each user. This article examines the driving motivations behind the project, critically evaluates the limitations of existing systems, and highlights the transformative potential of Sight Sense in revolutionizing the field of assistive technology for the visually impaired. The findings presented in this study contribute to advancing accessibility and inclusivity for individuals with visual impairments, paving the way for a more inclusive society.

Keywords : Assistive Technology, Visual Impairment, Blindness, Navigational Aid, Helmet-based Device, Computer Vision, Object Detection, Distance Identification, Facial Recognition, Human-Robot Interaction, Accessibility, Inclusivity, Machine Learning, Ultrasonic Sensor, Arduino, Speech Recognition, Personalization, Customization, Social Integration, user Satisfaction.