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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.

This device introduces a storage method for Chinese medicinal materials, and specifically relates to the field of medicinal materials storage management. The air conditioner of this device is connected to the storage box through a pipe. The storage box is equipped with an intelligent sensing module, which contains a variety of sensors for collecting environmental information in the storage box. The main information processing module is communicatively connected to a data transmission module, which is communicatively linked to the server, and the server is communicatively connected to the intelligent air conditioning system. In order to solve the defects in the existing storage methods, this device reduces the waste rate of Chinese medicinal materials due to improper storage and uncontrollable manual operation, Thus, this design provides an intelligent storage device of Chinese medicinal materials.

In order to improve the agricultural tracing efficiency and reduce tracking and monitoring cost, agricultural products quality tracking and tracing based on Radio-Frequency Identification(RFID) technology is studied, then tracing and tracking model is set up. Three-layer structure model is established to realize the high quality of agricultural products traceability and tracking. To solve the collision problems between multiple RFID tags and improve the identification efficiency a new reservation slot allocation mechanism is proposed. And then we analyze and optimize the parameter by numerical simulation method.