Method, equipment and system for monitoring human body behaviors based on elevator space
A safety monitoring and human body technology, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve problems such as not being able to meet real-time performance
Inactive Publication Date: 2019-10-15
GUANGDONG UNIV OF TECH
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[0005] The purpose of this application is to provide a human behavior safety monitoring method, equipment and system based on the elevator space, so as to solve the problem that the existing technology cannot satisfy the real-time performance in order to obtain sufficient accuracy for human behavior safety monitoring
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[0046] In order to enable those skilled in the art to better understand the solution of the present application, the present application will be further described in detail below in conjunction with the drawings and specific implementation methods. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0047] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed bel...
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The invention discloses a method for monitoring human body behaviors based on an elevator space. The method comprises the following steps: acquiring images including a current body posture; acquiringcoordinates of a skeleton point by utilizing a MobileNet model according to the images, and acquiring the coordinates of a corresponding reference point; determining a distance for determining a bodyabnormal behavior according to the coordinates of the skeleton point and the coordinates of the reference point; determining the relationship of the distance and a distance threshold, and determiningwhether the current body posture is the body abnormal behavior or not; and sending out an alarm message when the current body posture is the body abnormal behavior. According to the monitoring method,the MobileNet model is adopted to acquire the coordinates of the skeleton point from the image including the current body posture, to acquire the coordinates of the reference point to obtain the distance for determining the body abnormal behavior, and to send out the alarm message when the current body posture is determined as the body abnormal behavior according to the relationship of the distance and the distance threshold. The MobileNet model has the characteristics of light weight and real-time performance, and can ensure the accuracy for identifying a current body posture.
Description
technical field [0001] The present application relates to the technical field of intelligent monitoring and detection, in particular to a human behavior safety monitoring method, equipment and system based on an elevator space. Background technique [0002] Elevators can be seen everywhere in people's daily life, bringing great convenience to people. At the same time, when we take the elevator, some unexpected situations may occur at any time, such as falls, headaches, etc., especially when taking the elevator. In a closed environment, it is not easy for others to be found. [0003] In recent years, human body posture recognition technology has been used to judge human behavior by identifying human skeleton points, so as to determine whether the behavior of elevator passengers is abnormal behavior. In the prior art, a bottom-up deep learning detection algorithm, such as the OpenPose method, has the characteristic that the running time does not increase with the number of pe...
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IPC IPC(8): A61B5/11
CPCA61B5/1123A61B5/1128A61B5/1116
Inventor 何少聪朱铮涛
Owner GUANGDONG UNIV OF TECH