Face recognition time attendance access control system function module

The regional feature analysis algorithm widely used in Face Recognition technology, which integrates computer image processing technology and biostatistics principles, uses computer image processing technology to extract portrait feature points from videos, and uses the principles of biostatistics to analyze Establish a mathematical model, that is, a face feature template. Using the completed face feature template and the face image of the subject to perform feature analysis, a similarity value is given according to the analysis result. This value can be used to determine whether it is the same person.

1. Face capture and tracking function
Face capture refers to detecting a person in an image or a frame of a video stream and separating the person from the background, and automatically saving it. Portrait tracking refers to the use of portrait capture technology to automatically track a specified portrait as it moves within the range captured by the camera.
2. Facial recognition attendance comparison
There are two comparison modes for Face Recognition Attendance verification and search. The verification method refers to comparing the captured portrait or a designated portrait with a registered object in the database to determine whether they are the same person. The search-style comparison refers to searching all the registered portraits in the database to find out whether there is a specified portrait.
3. Face modeling and retrieval
The registered portrait data can be modeled to extract the features of the face, and the generated face template (face feature file) can be saved in the database. When performing a face search (search type), the specified portrait is modeled, and then compared with the templates of all people in the database for recognition, and finally the most similar persons will be listed based on the compared similarity values list.
4. Real person identification function
The system can identify whether the person in front of the camera is a real person or a photo. This prevents users from using photos to cheat. This technology requires the user to cooperate with facial expressions.
5. Image quality inspection
The quality of the image directly affects the recognition effect. The image quality detection function can evaluate the image quality of the photos to be compared, and give corresponding suggested values to assist the recognition.
The Face Recognition Time Attendance terminal adopts a new mold appearance design. It is a completely offline face recognition Time Attendance Access Control time attendance product.