什么是人脸识别门禁？

Recognition access controller is the important part of Face recognition access control system which is a face recognition access control and attendance product that can be offline or networked. It is positioned in the mid-to-high-end access control and attendance market, replacing the swipe card and fingerprint access control attendance machines on the market.

The face recognition terminal adopts a new mold design. It is a face recognition access control and attendance product that can be offline or networked. It is positioned in the mid-to-high-end access control and attendance market and replaces the swiping card and fingerprint access control and attendance machines on the market.
The product supports four verification methods of swiping face photo, ID face recognition, face recognition, and swiping face recognition, which is convenient for users to choose flexibly. It supports two communication methods of TCP/IP and U disk. Users can choose flexibly to realize users. Upload and download of data and access control records, configure the professional version of access control and attendance management software
working principle
A regional feature analysis algorithm widely used in face recognition technology, which combines computer image processing technology with the principles of biostatistics. It uses computer image processing technology to extract facial feature points from videos and analyzes using the principles of biostatistics. Establish a mathematical model, that is, a facial feature template. Use the built face feature template and the face of the subject to perform feature analysis, and give a similar value based on the analysis result. This value can be used to determine whether it is the same person.
functional module
Face capture and tracking function
Face capture refers to detecting a portrait in an image or a frame of a video stream, separating the portrait from the background, and automatically saving it. Portrait tracking refers to the use of portrait capture technology to automatically track a designated portrait when it moves within the range captured by the camera.
Face recognition comparison
Face recognition has two comparison modes: verification and search. Verification is to compare the captured portrait or the designated portrait with a registered object in the database to verify whether it is the same person. Search-style comparison refers to searching for the existence of a designated portrait from all the portraits registered in the database.
Modeling and Retrieval of Human Face
The portrait data registered in the database 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 face search (search style), model the designated person, and then compare it with the template of all people in the database for recognition, and finally list the most similar people based on the compared similarity value List.
Live detection
The system can identify whether the person in front of the camera is a real person or a picture. In order to prevent users from using photos, videos, masks, etc. to cheat.
Commonly used living body detection includes binocular cameras, 3D structured light and so on.
Image quality inspection
The image quality 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.