Vision-Shield AI -Based Eye Strain Detection System

Vision Shield is an AI-based Eye Strain Detection System designed to reduce the negative effects of prolonged screen exposure. In today’s digital world, students, office workers, and professionals spend long hours using computers and smartphones, which often leads to eye strain, dryness, blurred vision, headaches, and reduced productivity. The main objective of this project is to develop a real-time monitoring system that can detect early signs of visual fatigue and provide preventive suggestions. The system uses computer vision techniques through MediaPipe and OpenCV to analyze blink rate, Eye Aspect Ratio (EAR), sitting distance from the screen, ambient lighting conditions, and total screen time. A PyQt6-based graphical interface displays live monitoring results, warning alerts, and detailed usage reports in a simple and user-friendly manner. AI APIs are integrated to generate personalized recommendations and adaptive feedback based on user behavior. The system stores historical data for analysis and performance evaluation. Experimental testing shows accurate detection with smooth real-time performance on standard hardware. This project promotes digital wellness, improves awareness about healthy screen habits, and supports safer and more sustainable use of technology.