Attendance System Based on Face Recognition Technology

With the continuous advancement of industrialization, various enterprises have also emerged. With the continuous expansion of the scale of enterprises, personnel attendance management has also become an important part of the standardized and healthy development of enterprises. Initially, the company adopted the traditional card punching method. This method can achieve employee attendance to a certain extent, but it has problems such as easy loss of cards and inconvenient attendance. The use of face recognition technology can be very convenient and easy to realize the statistics of employee attendance. Therefore, this graduation project decided to design a get off work attendance system. By using Tensor flow as the back-end Keras to build a convolutional neural network, and then using the neural network to realize the face recognition of employees. When the recognition is over, this graduation project is linked to a SQL database to record the recognition results. In addition, this graduation project also adds the functions of adding, deleting, modifying, and searching to the system to edit the SQL database to facilitate entry, deletion, modification, and retrieval of employee information.