KR20210103913A - Fever Suspect Detection Apparatus And Method Thereof - Google Patents

Abstract

The present invention relates to a device and a method for detecting a fever-suspected person, capable of detection with high reliability. The device of the present invention comprises: a thermal imaging camera unit for photographing an object as a thermal image; and a control unit for obtaining a thermal image from the thermal imaging camera unit, and detecting a face from the thermal image to detect a face temperature.

Description

Fever Suspect Detection Apparatus And Method Thereof

The present invention relates to detecting a person with a fever and a method therefor. More specifically, the present invention relates to an apparatus for detecting a person suspected of having a fever and a method for detecting a person suspected of having a fever, which can perform high-reliability detection without preparing a separate blackbody or temperature correction process.

A thermal imaging camera is a non-contact temperature measurement device. A thermal imaging camera detects infrared energy radiated, transmitted, or reflected by all materials at temperatures above absolute zero. It then converts the sensed infrared energy into temperature and outputs it. Moreover, the thermal imaging camera outputs the entire thermal image from one object through the output module.

Based on this point, thermal imaging cameras are mainly used for the purpose of detecting fever patients in public places. For example, it is possible to quickly measure the body temperature of multiple objects in a specific place or a specific atmosphere, such as an airport, a passenger terminal, or a major national facility, and quickly determine the health status of a plurality of objects.

However, the thermal imaging camera generates an error of about 2°C depending on the ambient temperature and atmosphere of the object, so there is a problem that the reliability is not high.

In order to solve the problem of such a thermal imaging camera, in Korean Patent Laid-Open No. 10-2015-0129937, a black body is separately prepared for photographing, and a thermal image including one object and one black body is acquired through the thermal imaging camera. A method and system for detecting the face temperature of at least one object in a thermal image through face recognition and correcting the face temperature based on a difference between the measured temperature of the black body and a preset temperature of the black body in the thermal image are disclosed.

However, the system and method have the inconvenience of having to separately prepare a black body within the imaging range in order to improve reliability.

Republic of Korea Patent Publication No. 10-2015-0129937 (published on: November 23, 2015)

The present invention solves the trouble of preparing a black body (an object that completely absorbs electromagnetic waves of all wavelengths), and solves the problem that a patient suspected of having a fever cannot be accurately detected due to an error value for a change in the surrounding environment .

The problems to be solved by the present invention are not limited to the problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

One device for detecting a suspected fever for achieving the above problem to be solved,

a thermal imaging camera unit for photographing an object as a thermal image; and

A thermal image is obtained from the thermal imaging camera unit, a face is detected from the thermal image, a face temperature is detected, a preset difference value is calculated for a plurality of face temperatures, and a corrected face temperature value is calculated. Calculating the average face temperature of the corrected face temperature value, comparing the average face temperature value with the corrected face temperature value, and classifying the object having the face temperature as a suspected fever patient if the comparison value differs by more than a preset error value includes a control unit.

The control unit is

an acquisition module for acquiring a thermal image from the thermal imaging camera unit;

a face recognition module for recognizing the face of an object in the thermal image;

a face temperature detection module for detecting a temperature in the face of the thermal image;

an average value calculation module for calculating an average facial temperature from a plurality of facial temperatures;

a correction module for calculating the corrected face temperature value by adding a preset difference value to the average face temperature;

The corrected face temperature value output from the correction module and the average face temperature output from the average value calculation module are calculated. It may include a patient classification module that

The control unit is

a body temperature reception module for receiving body temperature values directly measured from a plurality of sample objects through a thermometer before acquiring a thermal image appearing on the object;

The method may further include a difference value module for calculating a difference between the temperature value received by the body temperature reception module and the temperature value detected by the face temperature detection module and calculating the difference value, and an error module for setting the error value.

The body temperature reception module,

Since a normal body temperature value is set, a value larger than the normal body temperature value is not received from the thermometer, and only a value smaller than the normal body temperature value can be received.

Another method for detecting a suspected fever to achieve the above-mentioned problem is,

(A) obtaining, by the controller, a thermal image appearing on the object from the thermal imaging camera unit;

(B) detecting, by the controller, the temperature by detecting the face of the object in the thermal image;

(C) calculating, by the controller, a preset difference value to the detected face temperature and calculating a corrected face temperature value;

(D) calculating, by the controller, repeating steps (A) to (C) to calculate an average value for the corrected face temperature and calculating an average face temperature;

(E) calculating, by a controller, subtracting the average face temperature value from the corrected face temperature value; and

(F) If the value subtracted in step (E) is less than the preset error value, the controller classifies the object corresponding to the corrected face temperature value as a normal person, and the comparison value calculated in step (E) is and classifying the object corresponding to the corrected face temperature value as a patient with fever when there is a difference by more than a preset error value.

The step (A) is,

The method further includes (A-1) receiving, by the body temperature reception module, body temperature values measured from a plurality of sample objects through a thermometer before acquiring the thermal image,

The step (D) is,

(D-1) step of calculating, by a difference value module, a difference between the temperature value received by the body temperature counting module and the temperature value detected by the face temperature detection module, and calculating the difference value;

The method may further include a step (D-2) in which the difference value module calculates a corrected face temperature value by adding the difference value calculated by the correction module to the temperature value measured by the face temperature detection module.

The apparatus for detecting a person suspected of having a fever of the present invention calculates a newly measured face temperature value using the average value of accumulated face temperature data as a base value, not the absolute value of the face temperature detected by a thermal imaging camera, By detecting a person suspected of having a fever with a deviation between preset reference values, it is possible to accurately detect a person suspected of having a fever.

As described above, the present invention eliminates the hassle of preparing a black body, thereby simplifying the process of detecting a person suspected of having a fever. In addition, it is possible to indicate high reliability for the detection of a fever suspect, that is, a patient by eliminating the occurrence of error values for changes in the surrounding environment.

1 is a view showing an apparatus for detecting a person suspected of having a fever according to an embodiment of the present invention.
FIG. 2 is a view showing a thermal image image taken by the thermal imaging camera unit of FIG. 1 .
FIG. 3 is a view showing a plurality of modules included in the thermal imaging camera unit and the control unit of FIG. 1 .
4 is a flowchart of a method for detecting a person suspected of having a fever according to an embodiment of the present invention.
5 is a diagram for measuring the temperature of a sample object through a thermometer.
6 is a diagram illustrating temperature values for a plurality of sample objects received by the controller.
7 is a diagram illustrating a temperature difference between the temperature measured by the thermometer and the temperature detected by the face temperature detection module through the difference value module.
FIG. 8 is a view showing an average face temperature value obtained by calculating an average value of the corrected face temperature values shown in FIG. 7 .
9 is a state diagram of the use of the device for detecting a person suspected of having a fever according to the present invention.
10 is a diagram illustrating a state in which the device for detecting a person suspected of having a fever according to the present invention distinguishes between a person suspected of having a fever and a normal person.

The apparatus and method of the present invention may become apparent from the detailed description based on the accompanying drawings and drawings. However, the present invention is not limited to the embodiments disclosed below, and may be implemented in various different forms. The embodiments described in this specification are only provided to completely inform those of ordinary skill in the art to which the present invention pertains so that the disclosure of the present invention is complete. Only the claims of the invention can be defined by the claims. In addition, like reference numerals refer to like elements throughout the specification.

Hereinafter, an apparatus for detecting a suspected fever and a method for detecting a suspected fever according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 10 .

However, the device for detecting a suspected fever will be described in detail so that the description of the present invention may be concise and clear, and based on this, a method for detecting a suspected fever will be described. In this case, the description of the device for detecting a person suspected of having a fever described throughout this specification may be directly applied to the method for detecting a person suspected of having a fever.

First, with reference to FIG. 1, the apparatus for detecting a person suspected of having a fever will be described in general.

1 is a view showing an apparatus for detecting a person suspected of having a fever according to an embodiment of the present invention.

Based on the thermal image of the object photographed by the thermal imaging camera unit 10, the apparatus 1 for detecting a suspected fever of the present invention extracts the face temperature of the object from the control unit 20, and corrects the extracted face temperature Calculate the corrected value and the set error value by adding the face temperature value. And through these calculation values, it is accurately determined whether the object is a patient with fever or a normal person. The device for detecting a suspected fever 1 includes a thermal imaging camera unit 10 and a control unit 20 as components.

In such a fever-suspected detection device 1, the control unit 20 obtains a thermal image (B) appearing on the object from the thermal imaging camera unit 10 (A) step, the control unit 20 in the thermal image (B) step of detecting the face of the object and detecting the temperature, (C) step of calculating a corrected face temperature value by correcting a preset difference value to the detected face temperature, by the controller 20, ( Steps A) to (C) are repeated to calculate the average value of the corrected face temperature, and the process proceeds to step (D) of calculating the average face temperature. Thereafter, in the step (E) in which the controller 20 subtracts the average face temperature from the corrected face temperature value and the controller 20 subtracts the calculated face temperature in step (E), if the calculated value is less than the preset error value, the corrected face temperature (F) step of classifying the object corresponding to the value as a normal person, and classifying the object corresponding to the corrected face temperature value as a patient with fever if the comparison value calculated in step (E) differs by more than a preset error value can proceed with

The device for detecting a suspected fever (1) of the present invention proceeds in a series of steps (A) to (F), and without a black body necessary to accurately measure the temperature of an object with a conventional thermal imaging camera, a person suspected of having a fever and a normal person can be accurately identified. That is, according to the present invention, a suspected fever can be detected in a simple way without the hassle of preparing a black body.

Hereinafter, components constituting the present invention will be described in detail with reference to FIGS. 2 and 3 .

FIG. 2 is a view showing a thermal image image taken by the thermal imaging camera unit of FIG. 1 , and FIG. 3 is a view showing a plurality of modules included in the thermal imaging camera unit and the control unit of FIG. 1 .

The thermal imaging camera unit 10 is a camera that detects thermal radiation emitted from an object. Moreover, the thermal imaging camera unit 10 may display different colors on the control unit 20 according to heat generated from the object regardless of the presence or absence of light. The thermal imaging camera unit 10 may detect heat and display images of various colors as shown on the right side of FIG. 2 on the screen of the control unit 20 .

The control unit 20 may obtain and output a thermal image (B) appearing on the object (C) from the thermal imaging camera unit (10), and use the thermal image (B) to identify a patient suspected of having a fever. The control unit 20 includes an acquisition module 220 , a face recognition module 230 , a face temperature detection module 240 , an average value calculation module 250 , a correction module 270 , and a patient classification module 280 . In addition, the control unit 20 may further include a body temperature reception module 210 , a difference value module 260 , an error module 2801 , and the like.

Such a plurality of modules may be an arithmetic processing unit included in a computer. And the control unit 20 including such a module may be a computer. Here, the body temperature reception module 210 receives body temperature values of the plurality of sample objects C measured by the thermometer 30 . At this time, the body temperature reception module 210 receives the body temperature value of the sample object C from the thermometer 30 before acquiring the thermal image displayed on the object C.

In addition, since the body temperature reception module 210 has a normal body temperature value set therein, the thermometer 30 does not receive a normal body temperature value, that is, a temperature value greater than 36.5 ° C., but a temperature value smaller than the normal body temperature value. can receive

The acquisition module 220 acquires a thermal image appearing on the object C from the thermal imaging camera unit 10 . That is, data is received from the thermal imaging camera unit 10 . The face recognition module 230 recognizes the face of the object from the thermal image (B). In this case, the face recognition module 230 may recognize the uppermost end of the object belonging to the set area as the face of the object between the outside and the object. As an example, the face recognition module 230 forms a square of 20 cm in width and 30 cm in height based on the starting line between the outside and the object, includes the top of the object in the square, and detects the face of the object.

The face temperature detection module 240 detects a temperature from the face of the thermal image detected by the face recognition module 230 . The face temperature detection module 240 can measure the temperature closely within the range of -10°C to 50°C. Through this, the face temperature detection module 240 can precisely measure the temperature of the face from the thermal image. In addition, the temperature of the forehead portion of the detected face may be measured.

The average value calculation module 250 calculates an average value from a plurality of measured face temperatures. That is, the average face temperature is calculated. In this case, the calculated average face temperature may be a value for determining whether the measured temperature of the person is a normal temperature or not.

The difference value module 260 calculates a difference value by calculating a difference between the temperature value received by the body temperature reception module 210 and the temperature value detected by the face temperature detection module 240 .

The correction module 270 calculates a corrected face temperature value by adding the difference value calculated by the difference value module to the average face temperature value. Here, the difference value may be a value calculated as a value extracted from a preset number of at least 10 people.

The patient classification module 280 calculates the corrected face temperature value output from the correction module 270 and the average face temperature value output from the average value calculation module 250 . Thereafter, when the calculated value is greater than or equal to the preset error value, the object having the corrected face temperature value is classified as a fever-suspecting patient. On the other hand, when the calculated value is less than the preset error value, the object having the corrected face temperature value is determined as a normal person.

Such a patient classification module 280 may further include an error module 2801 in which an error value is set. Here, the error module 2801 allows an error value to be adjusted by a user or a fixed error value so that the precision of the classification of suspected and normal heat can be changed.

The feedback module 290 accumulates the normal body temperature of the person determined as a normal person in the patient classification module 380 , and obtains a trend value that gradually increases or decreases with time, expressed as a statistical value, and transmits it to the correction module 270 . The correction module 270 calculates a corrected face temperature value by adding the temporal correction value received from the feedback module 290 to the average face temperature.

Through this, the device for detecting a person suspected of having a fever 1 accurately detects a face from the object C, detects the face temperature of the object, and calculates an average value of a plurality of face temperatures. Thereafter, by comparing the calculated average face temperature and the detected face temperature, when the comparison value differs by more than a preset error value, the object having the corresponding face temperature can be quickly and accurately determined as a patient suspected of having a fever.

Hereinafter, based on the description of the apparatus 1 for detecting a person suspected of having a fever, a method for detecting a person suspected of having a fever according to an embodiment of the present invention will be described in detail. The method of detecting a person suspected of having a fever is based on the flowchart of FIG. 4 .

4 is a flowchart of a method for detecting a person suspected of having a fever according to an embodiment of the present invention.

The method for detecting a person suspected of having a fever (S10) includes the steps of acquiring a thermal image (S110), detecting a face from the acquired thermal image (B), and detecting a temperature from the detected face (S120), the detected face Correcting a preset difference in temperature (S130), calculating an average value of the corrected face temperature value (S140), and subtracting and calculating the average face temperature value from the corrected face temperature value (S150) and the subtracted value and a step (S160) of distinguishing a person suspected of having a fever or a normal person in comparison with the error value.

In addition, the method for detecting a suspected fever (S10) includes a plurality of sample objects (A) that the body temperature reception module 210 transmits through a thermometer before acquiring a thermal image (B) through the thermal imaging camera unit (10). Step (A-1) of receiving the body temperature value of , and the difference value module 260 calculates the difference between the temperature value received from the body temperature reception module 210 and the temperature value detected by the face temperature detection module 240 In the step (D-1) of calculating the value, the difference value module 260 adds the difference value calculated by the correction module 270 to the temperature value measured by the face temperature detection module 240 and calculates the corrected face temperature value. The step of calculating (D-2) and (D-3) step of calculating the average value of the difference value calculated by the difference value module 260 by the average value calculation module 250 are further included.

In addition, in the method for detecting a suspected fever (S10), the feedback module 290 accumulates the normal body temperature of a person determined as a normal person in the patient classification module 380, and is expressed as a statistical value. A trend value that gradually increases or decreases with time It further includes the step of obtaining and transmitting to the correction module 270 . Through this, the method for detecting a person suspected of having a fever ( S10 ) adds the temporal correction value received from the feedback module 290 to the average face temperature value to more accurately calculate the corrected face temperature value.

Hereinafter, each step shown in FIG. 4 will be described in detail with reference to FIGS. 5 to 10 .

However, in order to make the description of the method for detecting a person suspected of having a fever ( S10 ) concise and clear, it will be described in accordance with the procedure of the method for detecting a person with a fever ( S10 ).

FIG. 5 is a diagram of measuring the temperature of a sample object through a thermometer, FIG. 6 is a diagram illustrating temperature values for a plurality of sample objects received by the controller, and FIG. 7 is a diagram showing the temperature measured by the thermometer through the difference value module and It is a diagram showing the temperature difference detected by the face temperature detection module. And Fig. 8 is a view showing the average face temperature obtained by calculating the average value of the corrected face temperature values shown in Fig. 7, and Fig. 9 is a diagram showing the use of the device for detecting a person suspected of having a fever according to the present invention. And FIG. 10 is a view showing a state in which the device for detecting a person suspected of having a fever according to the present invention distinguishes a person suspected of having a fever and a normal person.

As shown in FIG. 5, the method for detecting a suspected fever (S10) is a step of measuring the forehead, cheeks, etc. of the sample object A through the thermometer 30 and measuring the actual temperature of the sample object A And it may start with the step of transmitting the measured value to the control unit (20). That is, it may start with step (A-1). At this time, the temperature value of the sample object A transmitted to the controller 20 may be a value as shown in FIG. 6 .

Thereafter, the method of detecting a suspected fever ( S10 ) may proceed to a step ( S110 ) of the controller 20 acquiring a thermal image from the thermal imaging camera unit 10 . Thereafter, a face is detected from the obtained thermal image (B), and the step (S120) of detecting a temperature from the detected face may be performed. Thereafter, as shown in FIG. 7 , the step of calculating the difference between the temperature measured by the thermometer 30 and the temperature detected by the face temperature detection module 240 through the difference value module 260 may be performed. Thereafter, as shown in FIG. 8 , the correction value may be calculated by correcting the difference value in the detected face temperature ( S130 ). Thereafter, the process may proceed to calculating an average value of the corrected face temperature values ( S140 ).

As shown in FIG. 9 , in the method for detecting a suspected fever ( S10 ), when a new object C is detected by the apparatus 1 for detecting a suspected fever, the average difference value calculated through the average value calculation module 250 . is added to the temperature detected by the face temperature detection module 240 to calculate a corrected face temperature value. Thereafter, a step of subtracting and calculating the average face temperature set from the corrected face temperature value of the new object is performed. Thereafter, the corrected face temperature value and the average face temperature value are compared with the error value, and if the subtracted value is less than the error value, classifying the object corresponding to the corrected face temperature value as a normal person or subtraction operation If the obtained value is greater than or equal to the error value, the step of classifying the object corresponding to the corrected face temperature value as a patient with fever may proceed. For example, as shown in FIG. 10 , when the first new object is photographed by the thermal imaging camera unit 10 and the corrected face temperature value by the controller 20 is 38.3° C., the controller 20 controls the corrected face 36.3℃, which is the average face temperature set in the temperature value, is subtracted, and the subtracted 2.0℃ is compared with the preset error value. In this case, the control unit 20 may determine the object having the corrected face temperature calculated in this way as a suspect that heat is generated because the subtracted value is greater than the error value of 0.2. In addition, if the second new object is photographed by the thermal imaging camera unit 10 and the corrected face temperature value is 36.1°C by the controller 20, the controller 20 controls the face temperature average value set in the corrected face temperature value of 36.3 ℃ is subtracted, and the subtracted 0.2℃ is compared to a preset error value. In this case, since the subtracted value is less than or equal to 0.2, which is an error value, the controller 20 can determine an object having such a corrected face temperature value as a normal person.

The method of detecting a person suspected of having a fever ( S10 ) may end with the step of determining whether a person has a fever.

Through the method of detecting a suspected fever person (S10) as described above, it is possible to accurately identify a person suspected of having a fever and a normal person without a black body required to accurately measure the temperature of an object with an existing thermal imaging camera.

Although the embodiments of the present invention have been described above with reference to the accompanying drawings, those of ordinary skill in the art to which the present invention pertains can realize that the present invention can be embodied in other specific forms without changing the technical spirit or essential features thereof. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

1: Detecting device for suspected fever
10: thermal imaging camera unit
20: control unit 30: thermometer
210: body temperature reception module
220: acquisition module
230: face recognition module 240: face temperature detection module
250: average value calculation module 260: difference value module
270: correction module
280: patient classification module 2801: error module
A: Sample object B: Thermal image
C: object

Claims (6)

a thermal imaging camera unit 10 for photographing an object as a thermal image; and
A thermal image (B) is obtained from the thermal image camera unit (10), a face is detected from the thermal image (B), a face temperature is detected, and a preset difference value is calculated for a plurality of face temperatures and corrected. The face temperature value is calculated, the face temperature average value of a plurality of corrected face temperature values is calculated, the face temperature average value is compared with the corrected face temperature value, and if the comparison value differs by more than a preset error value, the corresponding face temperature is calculated A device for detecting a suspected fever, including a control unit 20 for classifying an object having a fever as a suspected patient. According to claim 1, wherein the control unit 20,
an acquisition module 220 for acquiring a thermal image from the thermal imaging camera unit 10;
a face recognition module 230 for recognizing the face of an object in the thermal image (B);
a face temperature detection module 240 for detecting a temperature in the face of the thermal image;
an average value calculation module 250 for calculating an average facial temperature from a plurality of facial temperatures;
a correction module 270 for calculating the corrected face temperature value by adding a preset difference value to the average face temperature;
The corrected face temperature value output from the correction module 270 and the average facial temperature average value output from the average value calculation module 250 are calculated. If the calculated value is greater than or equal to a preset error value, the object having the corrected face temperature Including a patient classification module 280 for classifying a patient with a suspected fever, a fever-suspected detection device. According to claim 2, wherein the control unit 20,
a body temperature reception module 210 for receiving body temperature values directly measured from a plurality of sample objects A through a thermometer 30 before acquiring a thermal image appearing on the object C;
a difference value module 260 for calculating the difference between the temperature value received by the body temperature reception module 210 and the temperature value detected by the face temperature detection module 240;
Further comprising an error module 2801 in which the error value is set, the device for detecting a suspected fever. According to claim 3, wherein the body temperature reception module 210,
and a normal body temperature value is set, and the thermometer receives only a value smaller than the normal body temperature value without receiving a value larger than the normal body temperature value. (A) obtaining, by the controller 20, a thermal image appearing on the object from the thermal imaging camera unit 10;
(B) step of the controller 20 detecting the temperature by detecting the face of the object in the thermal image;
(C) calculating, by the controller 20, a preset difference value to the detected face temperature and calculating a corrected face temperature value;
(D) the control unit 20 repeating steps (A) to (C) to calculate an average value for the corrected face temperature and calculating an average face temperature;
(E) calculating, by the controller 20, subtracting the average face temperature value from the corrected face temperature value; and
(F) when the value calculated by subtraction in step (E) is less than the preset error value, the controller 20 classifies the object corresponding to the corrected face temperature value as a normal person, and calculates the calculated value in step (E). When the comparison value differs by more than a preset error value, classifying the object corresponding to the corrected facial temperature value as a fever-suspecting patient. 6. The method of claim 5,
The step (A) is,
Before acquiring the thermal image, the method further includes the step (A-1) of receiving, by the body temperature reception module 210, the body temperature values measured from the plurality of sample objects (A) through a thermometer,
The step (D) is,
(D-1) step, in which the difference value module 260 calculates the difference between the temperature value received from the body temperature reception module 210 and the temperature value detected by the face temperature detection module 240 and calculates the difference value;
Step (D-2) in which the difference value module 260 adds the difference value calculated by the correction module 270 to the temperature value measured by the face temperature detection module 240 and calculates the corrected face temperature value Further comprising, a method for detecting a suspected fever.

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