Detection of visual fatigue by analyzing the blink rate

One of the most common causes of traffic accidents is the driver´s fatigue. So in this paper, a methodology for detection of eyestrain, in different lighting conditions, is presented by analyzing the blink rate using computer vision techniques. An algorithm that takes face recognition was used, then a technique based on edge detection and measurement of texture to segment the eye and to count the changes in the characteristics of the eyes over time was applied. It was found that with this algorithm a good identification of the blink rate is achieved.