Vision Sense: Real-Time Object Detection And Audio Feedback System For Visually Impaired Individuals

This project introduces a transformative object detection system designed to enhance the navigational capabilities of visually impaired individuals through the application of advanced computer vision technologies. Utilizing the You Only Look Once (YOLO) model, paired with the Comprehensive Object Collection (COCO) dataset, this system provides real-time, accurate object detection and classification. The core functionality of the application allows for the processing of both static images and live video feeds, enabling blind users to receive auditory announcements of nearby objects, thereby assisting with spatial awareness and environmental interaction. The system leverages a pre-trained YOLO model to ensure robust detection performance, achieving a peak detection accuracy of 99%. By delivering object labels and bounding box coordinates audibly, the application serves as a critical tool in improving the daily independence and quality of life for people with visual impairments. This project not only highlights the potential of deep learning in assistive technologies but also underscores the importance of adaptive solutions in inclusive technology development.