Face recognition attendance machine is a new type of access control management attendance system integrating regional feature analysis algorithm, computer image processing technology and biometrics principle. At present, many enterprises and institutions have adopted face recognition attendance machine to record daily work attendance. Today we will talk about the basic principle of face recognition attendance machine in detail.
- The attendance machine captures the face information through the camera and stores it as the original control parameter, extracts the feature points of the portrait, establishes a mathematical model using biometric analysis, and then establishes the portrait feature template.
- When the attendance personnel face the camera, the face recognition attendance machine will collect the face information and match it with the original data template stored in the computer. When the two feature points reach a certain proportion, it can be determined that they are the same person.
- If the judgment result is successful, the attendance will be completed; if the judgment result is failed, the attendance will fail, and you will be prompted to retry or end.
To put it simply, face recognition attendance machine is a storage type attendance machine, which is used to create files, analyze and recognize attendance, and mainly compare face features. The working logic principle is similar to that of fingerprint and iris recognition, but the form of data acquisition is different, leading to different technical means. However, face recognition is biological, non-contact, and non mandatory, which is a feature that other recognition features cannot all have. Therefore, the face recognition attendance machine has its special application advantages in specific fields.
The main function modules of the face recognition attendance machine are roughly divided into three parts:
1. Face capture and tracking module
The main function of this module is to extract portrait information and track facial feature points, which is generally completed through cameras.
2. Face recognition and comparison module
The main function of this module is to compare, search the original image in the database, and compare the feature points with the person being detected.
3. Face modeling and retrieval module
The main function of this module is to analyze the portrait and store it in the database, and establish a mathematical model.
At present, the camera module of the face recognition attendance machine mostly adopts binocular module or dynamic face recognition module. As the first module of the face recognition attendance machine, the camera module plays a vital role. If there are problems with the sharpness, biometrics and optical compatibility of the information collected by the camera module, the latter two modules will be affected. Therefore, it is very important for the manufacturer of face recognition attendance machine to choose a reliable camera module supplier.
Shenzhen Jinshikang Technology specializes in the research, development and design of camera modules, and has invested a lot of development and research work in face recognition technology, camera monitoring and other fields. At present, we have reached long-term cooperation with dozens of camera manufacturers, with a perfect standard business consultation process, which allows you to smooth the whole process from consultation to cooperation, and ensure product quality and after-sales clearance. Welcome camera manufacturers and enterprise friends who need camera modules to consult, exchange and cooperate.