Vision Aid For Blind People Using YOLOV8
Priyanka More, Satvik Sangamkar
Abstract
This assistive system for the visually impaired integrates real-time YOLOv8 object detection with distance estimation and text-to-speech conversion, empowering users with enriched environmental awareness. Leveraging robust datasets and architectures, it identifies over 90 everyday objects amidst clutter while concurrently approximating object proximity through trigonometric translations of size metrics. Audio cues enunciate recognized items and distances in real time for accessibility. This combination of precise visual recognition, spatial metrics, and assistive feedback holds promise for enhanced mobility, independence, and safety during navigation for visually impaired individuals.
Topics & Concepts
Computer scienceComputer visionArtificial intelligenceHuman–computer interactionAdvanced Neural Network Applications