An intelligent access control method

Abstract

The present application discloses an intelligent access control method, including establishing and labeling a mask wearing detection data set; generating a training anchor frame suitable for access control; training an improved YOLOv3 model; adjusting the model confidence to obtain a mask wearing detection model; Video image; detect and judge whether there is a target in the access control monitoring video image; if there is no target, obtain the access control monitoring video image, otherwise obtain the target location and determine the target type, if the mask is not worn, it will alarm and display the detection result, otherwise the target will be detected. Body temperature detection, if the target body temperature exceeds the body temperature threshold, it will alarm and display the detection result, otherwise open the access gate and continue the next frame of video image detection. This application can detect in real time whether the person in the video is wearing a mask and whether the body temperature is normal, which can effectively reduce the problem of missed detection and misdetection caused by complicated situations such as the fast moving speed of the person, the occlusion of objects, and the dim light. The detection speed is fast and the accuracy rate is high.

Description

technical field [0001] The invention belongs to the technical field of video surveillance security, and relates to an intelligent access control method. Background technique [0002] All domestic enterprises, shopping malls, and communities are equipped with relevant staff at the entrance to check the temperature of those entering and check whether they are wearing masks. However, this method of human supervision increases the operating cost of the enterprise and is less efficient. In order to improve efficiency and reduce the cost of manual supervision as much as possible, intelligent access control detection has become a common choice for many enterprises, shopping malls, and communities. [0003] In recent years, researchers have done a lot of innovative research work on image detection based on sensor-based and image processing-based detection methods. However, there are problems such as low positioning accuracy, slow measurement speed, and low accuracy, which make it ...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the deficiencies in the prior art, this application provides an intelligent access control method, which can detect in real time whether the person in the video information is wearing a mask and whether the body temperature is normal, effectively reducing the complexity caused by the fast moving speed of the person, the obstruction of the object, and the dim light. The problem of missed detection and wrong detection caused by the situation has the advantages of fast detection speed and high detection accuracy

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