Teach you how to read face recognition attendance, is it safe to scan the face for access control?

With the advent of the era of facial recognition, Face Recognition Attendance has attracted more and more attention. Many people can't help worrying. Is it really safe to open the door by facial recognition?

The research on the Face Recognition attendance system began in the 1960s. After the 1980s, it was improved with the development of computer technology and optical imaging technology, and it really entered the primary application.
The stage was in the late 1990s; in recent years, with the advancement of artificial intelligence technology, face recognition attendance technology has developed rapidly.
An image or video stream containing a human face, and a series of related technologies that automatically detect and track human faces in the image, and then perform facial recognition on the detected faces, are usually also called portrait recognition and facial recognition.
The key to face recognition attendance technology is to find out the relationship between each other through the key points of eyes, eyebrows, nose, mouth, cheek contour features and facial expression network on different face images, and finally determine whether these images are the same through the algorithm. Personally, the principle of the algorithm is to calculate the distance relationship between each key point.
The integrity and stability of the features are extremely critical factors for the success or failure of the algorithm, so when it is disturbed by the outside world, the device will have recognition obstacles.
1. Facial features are incomplete: Once some features disappear due to occlusion of the face, resulting in incomplete face image features, this algorithm will fail, making it impossible to compare with the face information in the database.
2. Unstable facial features: The face of teenagers/old people changes every year, which will affect the recognition effect; micro-plastic surgery may also have an impact.
For the same face, if the angle is slightly shifted, or the lighting environment is different, the key points are completely different, which will also affect the result of the algorithm.
1. Posture: Rotation, roll, and pitch over 20 degrees have a great impact on the accuracy of face recognition attendance.
2. Illumination: Because uneven or extremely strong external lighting will cause shadows and occlusion effects, it will also affect the effect of face recognition and attendance.
In addition, makeup may also affect the capture of feature key points, but because face recognition attendance equipment usually has a confidence level, generally set to 60-80% confidence level, so daily makeup (non-glossy makeup) will not affect Facial recognition attendance equipment causes recognition obstacles.
When it comes to the safety of face recognition attendance, one thing that must be mentioned is liveness detection. Liveness detection technology is to detect the authenticity of the identity verification personnel during face recognition attendance, so as to prevent attacks on face recognition attendance software with photos, videos, 3D face generation software, etc. Relatively speaking, the security of face recognition attendance is still considerable.
Advantages of Face Recognition Time Attendance equipment
1. The interaction method is more comfortable; compared with traditional door locks and smart fingerprint locks, the face recognition attendance system is more comfortable to use.
2. Easy to operate; easy to collect, low coordination (no need to bring a card/no need to take a mobile phone).