Design and Implementation of Intelligent Anti-Epidemic System Based on Deep Learning Algorithm

In order to improve the protection of epidemic prevention during the epidemic situation, strengthen the management of epidemic prevention materials, and reduce the risk of epidemic spread caused by the flow of people and materials; In this paper, the intelligent anti-epidemic system is designed by using the technology of face recognition and infrared temperature measurement, the first step is to carry out intelligent detection, and the second step is to carry out face recognition, adding the function of infrared temperature measurement in the process of face recognition,, the results of the experiment show that the accuracy of face recognition is 97.69% and the accuracy of temperature detection is also relatively high Compared with the simple application of face recognition in the field of identity verification, the added functions of infrared temperature measurement and intelligent detection meet the special needs of the epidemic period, and can be applied to a wide range of practical scenes, can effectively solve the epidemic prevention process is too complex, real-time is not high, and so on.