Three common application scenarios for face recognition attendance

Nowadays, many companies are already adopting face recognition to attend attendance check-in, and traditional check-in methods such as mobile phone location and check-in and fingerprint check-in have gradually faded out of people's field of vision. Today I will mainly talk about several application scenarios of face recognition attendance.
On-site face recognition attendance
Face recognition technology, as a real-name system verification method, perfectly fits the real-name system management on site. By entering worker information into the face recognition system and filing in the public security system, the loopholes of missing check-in credentials or fake check-ins can be fully avoided, and at the same time, the entry and exit of personnel can be properly managed, and the two major problems of attendance and personnel flow management can be solved in one fell swoop.

Construction workers only need to enter their own face and identity information in advance, and dynamically capture live photos when checking in and check in on get off work attendance, and compare them with the entered initial face library to filter out the corresponding personnel information, which can then be recorded 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 face" to attend the attendance, and the system accurately records the attendance status of the personnel in real time. Managers can check the attendance status of personnel at any time through the management background, and the data is clear at a glance, which is convenient for inquiries.
Campus face recognition attendance
At present, one of the major functions of the smart cloud class card widely used in major campuses is to achieve face-swiping attendance. Unlike traditional paper sign-in, verbal call-in, and manual card swiping, students only need to capture facial information through the camera to achieve millisecond-level clocking in. Sign-in, multiple students can also complete accurate recognition through the camera at the same time, realize batch punch-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 appearance 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 the contact attendance of fingerprint recognition, 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 in individual recognition. It is through investigation and comparison of facial distinctions and recognition of identity. Others cannot replace it, which completely avoids the occurrence of "substitution" and "counterfeiting" in traditional sign-in.
It is not easy for ordinary enterprises to realize such smart attendance applications. Behind the application of face recognition is the visual AI technology with extremely high threshold. It is almost impossible for most companies to develop from scratch, and the capital and human costs are unbearable. For this reason, there are also companies on the market that open face recognition technology for free. , Let small and medium-sized enterprises truly realize the use of face recognition technology without cost and threshold.