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Construction workers only need to input their own face and identity information in advance, and dynamically capture live photos when checking in and check in on get off work attendance, compare with the input initial face library, filter out the corresponding personnel information, and record it in the attendance information. At the same time, it can also restrict outsiders who have not entered information from entering the construction site at will.
Face recognition attendance in office buildings
Face recognition time attendance applications can also be installed in and out of the office. The attendance time is set according to the actual needs of the scene and the attendance rules. The personnel "swipe their faces" to attend the attendance, and the system accurately records the attendance status of the personnel in real time. Managers can check the staff attendance status at any time through the management background, and the data is clear at a glance, which is convenient for query.
Campus face recognition attendance
One of the major functions of the smart cloud class card widely used in major campuses is to realize attendance by swiping face. Unlike traditional paper sign-in, verbal call-in, and manual swiping, students can only use the camera to capture facial information to achieve millisecond-level clocking in. Sign-in, multiple students can also complete accurate identification through the camera at the same time, realize batch clocking in, which greatly saves sign-in time and improves classroom teaching efficiency.
In addition, face-swiping time attendance makes sign-in more standardized and avoids the occurrence of sign-on behalf. The face sign-in data can be traced back, so that the class attendance rate and personal attendance rate can be seen at a glance, helping teachers and parents to better understand the situation of students.
Compared with fingerprint recognition contact attendance, face recognition can complete the check-in through completely non-contact, the user does not need to directly contact the device, and at the same time, it can satisfy the sorting, discrimination and recognition of multiple faces in actual application scenarios. It can avoid hidden dangers caused by personnel contact.
Not only that, the method of locating key areas of the face used in face recognition and attendance is extremely accurate and safe. The recognition method is the same as the biological characteristics used by humans for individual identification. It is through investigation and comparison of facial differences and recognition of identity. Others cannot replace it, which completely avoids the occurrence of "substitution" and "counterfeiting" in traditional sign-in.
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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.