How does face recognition attendance access control recognize face images?

With the development of artificial intelligence technology, many residential areas or office buildings have used Face Recognition Time Attendance intelligent Access Control System. Don't worry about losing your Access Control card and peeling your fingers. This kind of recognition replaces the traditional recognition method, but you should not know how the high-end recognition access control recognizes the face.

1. Face acquisition and tracking
Facial capture refers to detecting the image in the frame of an image or video stream and separating the image from the background and saving it automatically, longitudinal tracking refers to using portrait capture technology to automatically track the specified image as it moves within the range captured by the camera, Face Recognition Attendance Access Control mainly relies on this technology. Face image tracking refers to the use of face image acquisition technology to automatically track the specified face image when the specified face image moves within the range captured by the camera. Face Recognition Attendance access control recognizes faces. Mainly rely on this technology.
2. Face Recognition attendance comparison
Face Recognition Attendance Verification mode and search type are two comparison modes, the verification method is to verify whether the collected image or the specified image is compared with the registered object in the database to determine whether it is the same person, based on search alignment It means to search all the images registered in the database to find out whether the specified image exists, the intelligence of face recognition attendance access control is precisely because it can be compared with the collected facial images.
3. Face data modeling and retrieval
The face image data registered in the library can be modeled to extract the features of the face, and the generated face template can be saved in the database, in the face search, the specified face image is modeled, and then Compare with the owner's template in the database, and finally list the list of people with similarity according to the compared similarity value, so when you can enter and exit the door, it means that the face recognition attendance access control system has been recognized successfully.
4. Dynamic liveness detection
It used to be static face recognition attendance, which was identified through a designated area or range, that is to say, the requirements for identifying diagonal angles, distances, and positions would be relatively high. The feature of static face recognition attendance is that the user capacity is small. Moreover, the security performance is not high, and a photo can pass through. Therefore, Jiangxi Tuoshi Intelligent Technology Co., Ltd. will develop a dynamic face recognition attendance access control. The system can identify whether the camera can identify a real person or a photo to prevent photo fraud. The technology requires the use of real-time detection technology for dynamic face recognition attendance.
5. Image quality inspection
Image quality directly affects the recognition effect. The image quality detection function can perform image quality assessment on the photos to be compared, and give corresponding recommended values to assist in recognition. Any new technology cannot be perfect in the development stage, and some are not perfect. Things take a lot of time to perfect, and solving problems in the face recognition attendance process is one of the driving forces behind the continuous advancement of technology.
6. In the future, more and more cities will become intelligent, and technology-oriented products will make citizens` lives more comfortable, improve the quality of life, save natural resources, and save time at the same time, despite the government`s measures to make the city more comfortable. smarter, but it will take a lot of effort to be successful in the future.