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November 24, 2022

The background and advantages of the campus face recognition attendance system solution

1. Industry background of campus Face Recognition Attendance system

With the vigorous development of science and technology, human body feature analysis technology has become the latest application point of rapid identification. The development of biometric technology has not only changed people's life style and enterprise management mode, but also had a profound impact on the ivory tower on earth - the management mode of the campus.

High Performance Face Access Recognition Terminal

The traditional attendance products on campus, which are represented by punch cards and card swipes, have the disadvantages of replacing punch cards, low efficiency, difficult statistics, and high management, use and maintenance costs. The large-scale application of fingerprint identification products in attendance has partially solved the problem of punching cards, but more than 5% of the population has very shallow fingerprints and cannot be identified by fingerprints. Fingerprint attendance products are difficult to identify when the weather is dry or when the seasons change. Since they must be touched, they provide a convenient carrier for the spread of bacteria. These check-in methods need to be reformed. In the face of these current situations, based on biometric technology, we have launched a Face Recognition attendance system that combines face recognition technology with the campus data system. In addition, the information screen series can also realize facial conference sign-in, dynamic face recognition Access Control management, visitor face recognition, advertisement delivery and other functions, which provide convenience for our daily work and life and maximize efficiency for various industries. It can be widely used in schools and even corporate halls, bank halls, company exhibition halls and other scenarios.
2. Advantages of campus face recognition attendance system
The campus face recognition attendance system adopts an advanced face recognition algorithm based on deep learning to achieve accurate authentication of personnel identities, and supports the investigation of suspicious personnel while passing through quickly to ensure the safety and order of the controlled area.
Embedded devices, capture algorithm deployment front-end;
Active identification does not require the deliberate cooperation of personnel;
Support mobile phone APP/PC terminal for face registration;
Support P2P remote monitoring and NVR local recording;
It can be connected with Bioradar system (Time Attendance, access control, elevator control, visitor);
Provide standard intermediary software API to meet third-party integration applications;
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