Vision NXT: Visual Aid using Computer Vision

Abstract: At the core of this system is a high-resolution camera that captures real-time visuals, which are then processed using the YOLOv11n pre-trained model by Ultralytics. This state-of-the-art object detection technology accurately identifies objects within the user’s environment, ensuring reliable and efficient performance. Once an object is recognized, the information is conveyed to the user through a built-in audio feedback system powered by advanced text-to-speech synthesis. The speaker delivers clear, concise descriptions of the objects, enabling users to make informed decisions as they move through their surroundings. Unlike traditional assistive devices, these glasses prioritize affordability without compromising functionality. This makes them accessible to a broader audience, particularly in communities where high-cost assistive technologies remain out of reach. By bridging this gap, the glasses aim to empower visually impaired individuals by fostering greater independence, enhancing their mobility, and ultimately improving their quality of life. This project not only represents a technological advancement but also a step forward in making inclusive, impactful solutions available to those who need them the most. By focusing on practicality, affordability, and user-centered design, these vision-assist glasses aspire to redefine what is possible for visually impaired individuals in their daily lives.