Prisoner physical sign monitoring method and device based on combination of video and device

Abstract

The invention discloses a prisoner physical sign monitoring method and device based on combination of a video and a device, and the method comprises the following steps: recognizing the facial expression features and types of prisoners from a video frame through obtaining the current monitoring video of the prisoners; tracking a face feature area in real time through video monitoring, and meanwhile, a vital sign monitoring device detecting the heart rate of prisoners; and judging whether the prisoner has a potential disease risk or an abnormal behavior or not by combining the heart rate of theprisoner during rest and the facial expression characteristics and heart rate of the prisoner recognized from the video. Compared with traditional intelligent monitoring equipment, the method has higher stability and accuracy, can improve the accuracy of pre-judgment of potential risks and pre-judgment of sudden diseases existing in prison prisoners, and sends out early warning in time.

Description

technical field [0001] The invention relates to the technical field of image analysis, in particular to a monitoring method and equipment for inmates' physical signs based on the combination of video and equipment. Background technique [0002] With the acceleration of the informatization process, prison management has also ushered in new changes, and it has also had a relatively positive impact on prison video surveillance and smart device configuration. In the process of caring for prison inmates, a very important task is to monitor the comprehensive physiological characteristics of inmates, as well as potential risk analysis (such as irritability, blood pressure surge, sudden illness, etc.). At present, this work in prison management is mainly carried out according to the observation of prison managers. In the actual operation process, the current method has great deficiencies, and the prediction accuracy and timely discovery rate are low. [0003] The shortcomings of th...

AI Technical Summary

Problems solved by technology

[0003] The shortcomings of the current method mainly include: the existing monitoring of the comprehensive physiological signs of prison inmates mainly relies on manpower, and it cannot observe and analyze all-weather and all regions. For example, it is impossible to judge the physiological signs of inmates when they are resting, resulting Actions are not timely enough

The existing prison intelligent warning system is mostly aimed at the real-time monitoring, identification and tracking of a single target individual, and cannot realize the real-time monitoring and alarm function of automatic identification of abnormal behavior, low heart rate and other special circumstances

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