对眼睛的状态检测目前常见的方法分为以下几类：基于图像特征识别的方法，通

The current common methods for detecting the state of the eyes are divided into the following categories: methods based on image feature recognition, collecting face images through cameras, using key point positioning methods to determine the position of the eyes, and using the image features of the eyes when the eyes are opened and closed. Eye-closed state discrimination, this type of algorithm directly uses the edge, grayscale and other features of the eyes, and the algorithm is simple and efficient. The disadvantage is that the direct use of grayscale features is easily affected by light, skin color, etc.

At present, the common methods of eye state detection are divided into the following categories: Based on the method of image feature recognition, the face image is collected through the camera, the key point positioning method is used to determine the eye position, and the eye opening and closing state is distinguished by comparing the image features of the eyes when they are opened and closed. This kind of algorithm directly uses the edge, gray and other features of the eyes, so the algorithm is simple and efficient, Its disadvantage is that the direct use of gray features is easily affected by light, skin color and so on

At present, the common methods of eye state detection are divided into the following categories: based on the method of image feature recognition, face images are collected by camera, eye positions are determined by key point positioning method, and the state of eyes opening and closing is determined by comparing the image features of eyes opening and closing. This kind of algorithm directly uses the features of eyes, such as edge and gray scale, which is simple and efficient, but its disadvantage is that directly using gray scale features is easily affected by illumination, skin color and so on.