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The Face Recognition Attendance Machine adopts the high-precision technology in today's international scientific and technological field - Face Recognition technology (combining computer image processing technology and biostatistics principles), uses computer image processing technology to extract portrait feature points from video, and uses The principle of biostatistics is used to analyze and establish a face feature template. When a registered person walks past the face recognition machine, it will have a voice prompt "Hello" or the person's name to indicate that the attendance has been successful. Moreover, it also There is an image update function. If the image being taken is taken as the head and face, it will be stored as another face. If the head and face image is consistent with the other face image, the Face Recognition Attendance machine will automatically store the head and face image. By updating the other face image, the method can keep the update of the user's face image, reduce the influence of the change of the face shape on the recognition, and increase the accuracy of the recognition.
The face recognition attendance machine is mainly used for the attendance statistics of the company's employees. When the employees check in, they need to collect the employee's facial photos through the camera, and then obtain the feature values from the collected photos through the face recognition algorithm and compare them with the pre-stored data in the database. The eigenvalues of the employee's face photos are analyzed and compared, and the employee's name is reported after the recognition is successful, and the attendance is successful.
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Privacy statement: Your privacy is very important to Us. Our company promises not to disclose your personal information to any external company with out your explicit permission.