CN211604135U - Face information and body temperature information detection system based on causal model - Google Patents
Face information and body temperature information detection system based on causal model Download PDFInfo
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- CN211604135U CN211604135U CN202020226876.9U CN202020226876U CN211604135U CN 211604135 U CN211604135 U CN 211604135U CN 202020226876 U CN202020226876 U CN 202020226876U CN 211604135 U CN211604135 U CN 211604135U
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Abstract
The utility model relates to a detection technology field of people's face information and body temperature information, concretely relates to people's face information and body temperature information detecting system based on causal model. The human face information and body temperature information detection system comprises a human face information and body temperature information detection device and a background processing device, wherein the human face information and body temperature information detection device comprises a host body, a camera and a temperature sensor which are arranged on the host body, a main control unit connected with the camera and the temperature sensor, and a data uploading unit. The beneficial effects of the utility model reside in that, compared with the prior art, the utility model discloses a combine face identification and body temperature detection, combine cause and effect model's algorithm, improve face identification's the degree of accuracy and the degree of accuracy that temperature detected, realize the short-term test of a face a body temperature, accurate nature is high simultaneously, reduces the influence of external influence factor.
Description
Technical Field
The utility model relates to a detection technology field of people's face information and body temperature information, concretely relates to cause and effect model's people's face information and body temperature information detecting system.
Background
With the continuous progress of society and the continuous improvement of information technology and machine vision technology, the face recognition technology and the temperature detection technology are also greatly developed.
The human face is used as a biological feature of a human, and has the characteristics of high acceptance and high reliability when used for feature recognition. Mercury thermometers or other contact body temperature testing tools present a risk of cross-contamination during use.
Therefore, a high-precision non-contact temperature measurement mode becomes a new trend, and the method combining face recognition and non-contact body temperature detection has urgent requirements on some occasions for screening people suffering from temperature sensitivity and dare of human bodies.
However, due to various influence factors, the detection accuracy is not high, which is not favorable for large-scale production and use, and reduces user experience.
SUMMERY OF THE UTILITY MODEL
The to-be-solved technical problem of the utility model lies in, to the above-mentioned defect of prior art, provide a cause and effect model's people's face information and body temperature information detecting system, solve because various influence factors, it detects the accuracy not high, is unfavorable for its large-scale production and use, reduces user experience's problem.
The utility model provides a technical scheme that its technical problem adopted is: the human face information and body temperature information detection system based on the causal model comprises a human face information and body temperature information detection device and a background processing device, wherein the human face information and body temperature information detection device comprises a host body, a camera and a temperature sensor which are arranged on the host body, a main control unit connected with the camera and the temperature sensor, and a data uploading unit, wherein the temperature sensor is a non-contact temperature sensor, and the orientation of the non-contact temperature sensor is consistent with or close to the orientation of the camera; the background processing device receives data information which is collected by the main control unit and transmitted by the data uploading unit, and realizes the processing of the face information and the body temperature information based on the face detection cause and effect model and the body temperature detection cause and effect model.
Wherein, the preferred scheme is: the human face information and body temperature information detection device also comprises a display screen for displaying temperature information and human face image information; the camera comprises a color camera and a night vision camera.
The face detection causal model comprises face information input through a camera, a face database and a front door standard based on which a first confounding factor is removed, wherein the first confounding factor is an influence factor influencing the integrity acquisition of face features by the camera, and the front door standard has a formula of P (Y1| do (x1)) - ∑M1p(M1|x1)∑x1’p (Y1| x1', M1) p (x1'), wherein M1 is a face database, x1 is face information input by a camera, and Y1 is a face judgment result; and acquiring the accuracy of the cumulative comparison based on the human face database M1 by removing the front door standard of the first confounding factor removal.
The causal model of human body temperature detection preferably includes a human body temperature input by a temperature sensor, a normal human body temperature range, and a back-gate criterion based on a known second confounding factor, so that the second confounding factor is an environmental temperature affecting the measurement of the temperature sensor and/or affecting the human body temperature, and the formula of the back-gate criterion is P (Y2| x2) ═ ∑M2(M2|x2)∑u2p(Y2|x2U2) p (u2) p (x2'), wherein u2 is a second confounding factor, M2 is the normal temperature range of the human body, x2 is the temperature of the human body input by the temperature sensor, and Y2 is the judgment result of the temperature of the human body; the body temperature is obtained by combining back door criteria for which the second confounding factor is known.
The beneficial effects of the utility model reside in that, compared with the prior art, the utility model discloses a combine face identification and body temperature detection, combine cause and effect model's algorithm, improve face identification's the degree of accuracy and the degree of accuracy that temperature detected, realize the short-term test of a face a body temperature, accurate nature is high simultaneously, reduces the influence of external influence factor.
Drawings
The invention will be further explained with reference to the drawings and examples, wherein:
fig. 1 is a schematic structural diagram of the face information and body temperature information detection system of the present invention;
fig. 2 is a schematic structural diagram of the device for detecting human face information and body temperature information of the present invention.
FIG. 3 is a schematic structural diagram of a causal model of face detection according to the present invention;
fig. 4 is a schematic structural diagram of the human body temperature detection causal model of the present invention.
Detailed Description
The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
As shown in fig. 1 and fig. 2, the present invention provides a preferred embodiment of a human face information and body temperature information detecting system.
A face information and body temperature information detection system comprises a face information and body temperature information detection device 100 and a background processing device 200, wherein the face information and body temperature information detection device 100 comprises a host body 160, a camera 120 and a temperature sensor 130 which are arranged on the host body 160, a main control unit 110 connected with the camera 120 and the temperature sensor 130, and a data uploading unit 140, wherein the temperature sensor 130 is a non-contact temperature sensor 130, and the orientation of the non-contact temperature sensor 130 is consistent with or close to that of the camera 120; the background processing device 200 receives the data information collected by the main control unit 110 and transmitted through the data uploading unit 140, and implements the processing of the face information and the body temperature information based on the face detection causal model and the body temperature detection causal model.
Specifically, whether people exist currently is obtained through the camera 120, the temperature sensor 130 or the induction sensor, if people exist, the detection of the face information and the body temperature information is performed, that is, the face recognition and the body temperature acquisition are performed, the camera 120 and the temperature sensor 130 are controlled by the main control unit 110 to realize corresponding operations, for example, the camera 120 and the temperature sensor 130 are controlled to simultaneously acquire data and transmit the data to the background processing device 200 through the data uploading unit 140 to perform data processing, and the face information and the body temperature information processing based on the face detection cause-and-effect model and the body temperature detection cause-and-effect model are realized by combining the face detection cause-and-effect model and the body temperature detection cause-and-effect model which are arranged in the background processing device 200 to acquire the face information and the body temperature information.
In this embodiment, the human face information and body temperature information detection apparatus 100 further includes a display screen 150 for displaying temperature information and human face image information; the camera 120 includes a color camera 121 and a night vision camera 122.
The temperature information and the face image information are displayed through the display screen 150, and the accuracy is improved by adopting a color camera or a night vision camera according to the ambient light.
In this embodiment, a face detection causal model is established, where the face detection causal model includes face information input by a camera, a face database, and a front door standard based on which a first confounding factor is removed, where the first confounding factor is an influence factor that influences the camera on the integrity acquisition of facial features; regarding the establishment of the causal model of human body temperature detection, the causal model of human body temperature detection comprises the human body temperature input by the temperature sensor, the normal temperature range of the human body, and the back door standard based on the known second confounding factor, so that the second confounding factor is the ambient temperature that affects the measurement of the temperature sensor and/or affects the body temperature of the human body.
The human face recognition and the body temperature detection are combined, the accuracy of the human face recognition and the accuracy of the temperature detection are improved through the algorithm of the causal model, the rapid detection of one human face and one body temperature is realized, meanwhile, the accuracy is high, and the influence of external influence factors is reduced.
In the present embodiment, and referring to fig. 3, fig. 3 is a causal model for face detection, and the formula of the front door standard is P (Y1| do (x1)) - ∑M1p(M1|x1)∑x1’P (Y1| x1', M1) P (x1'), wherein M1 is a face database, x1 is face information input by a camera, Y1 is a face judgment result, the accumulated comparison accuracy based on the face database M1 is obtained by removing a front door criterion of a first confounding factor removal, the variable Z1 is the integrity of facial features of the face information x1 input by the camera, affected factors include light intensity, quality of facial occlusion, the camera itself, and the like, the probability of the face judgment result Y1, i.e., P (Y1| x1, M1), which is required for the judgment process using comparison with the face database M1, is 0 if the probability of x1 in M1 is 0, Y1 is 0, and if the similarity of Y1 'in M1 is P (Y1' | 1, M1) is obtained by referring to the front door criterion P1, and the possibility of the existence of the first confounding factor Y1 is obtained by removing the front door criterion P1 (Y1, P1) and P1 is not obtained by referring to the front door criterion 1 (Y1) and P1) is obtained by the front door criterion of the front door 1 b 1 (Y1) and theM1p(M1|x1)∑x1’p (Y1| x1', M1) p (x 1'); the front door criterion is cited therein because the first confounding factor u1 blocks the back door path from x1 to Y1, i.e., x1 to u1 have no back door path, and all back door paths from u1 to Y1 are not blocked by x 1. Therefore, by the above formula, the first confounding factor u1 can be removed, and only the cumulative comparison accuracy of the face database M1 is concerned.
In the present embodiment, and referring to fig. 4, fig. 4 is a causal model of human body temperature detection, and the formula of the backdoor criterion is P (Y2| x2) ═ ∑M2(M2|x2)∑u2p (Y2| x2, u2) p (u2) p (x2'), wherein u2 is a second confounding factor, M2 is the normal temperature range of the human body, x2 is the temperature of the human body input by a temperature sensor, and Y2 is the judgment result of the temperature of the human body; the body temperature is obtained by combining back door criteria for which the second confounding factor is known. The variable Z2 is a temperature sensorThe input human body temperature x2 tested environment parameters are influenced by factors including blackbody reference precision, environment illumination intensity and the like, if x2 is not in the range of M2, Y2 is 0, the probability of the range is P (Y2| x2, M2), due to the existence of a second confounding factor u2, and it is known that the environment temperature simultaneously influences the measured temperature and the normal temperature of the human body, the child node of x2 does not exist in u2, the blocking u2 can block all backdoors between x2 and Y2, the backdoor standard is met, and the formula P (Y2| x2) is ∑ by referring to the front door standardM2(M2|x2)∑u2p(Y2|x2,u2)p(u2)p(x2')。
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not intended to limit the scope of the present invention, which is intended to cover all equivalent changes and modifications made within the scope of the present invention.
Claims (2)
1. The utility model provides a face information and body temperature information detecting system based on cause and effect model which characterized in that: the human face information and body temperature information detection system comprises a human face information and body temperature information detection device and a background processing device, wherein the human face information and body temperature information detection device comprises a host body, a camera and a temperature sensor which are arranged on the host body, a main control unit connected with the camera and the temperature sensor, and a data uploading unit, wherein the temperature sensor is a non-contact temperature sensor, and the orientation of the non-contact temperature sensor is consistent with or close to the orientation of the camera; the background processing device receives data information which is collected by the main control unit and transmitted by the data uploading unit, and realizes the processing of the face information and the body temperature information based on the face detection cause and effect model and the body temperature detection cause and effect model.
2. The system for detecting face information and body temperature information according to claim 1, wherein: the human face information and body temperature information detection device also comprises a display screen for displaying temperature information and human face image information; the camera comprises a color camera and a night vision camera.
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