CN115855274A - Infrared temperature measurement correction method and device based on face recognition - Google Patents
Infrared temperature measurement correction method and device based on face recognition Download PDFInfo
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- CN115855274A CN115855274A CN202111122684.9A CN202111122684A CN115855274A CN 115855274 A CN115855274 A CN 115855274A CN 202111122684 A CN202111122684 A CN 202111122684A CN 115855274 A CN115855274 A CN 115855274A
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Abstract
The invention discloses a temperature measurement correction method and a temperature measurement correction device based on face recognition, wherein the face recognition temperature measurement method comprises the following steps: s1, acquiring and identifying one or more face images, and respectively generating face areas corresponding to the face images on a dot matrix area of a temperature-sensing ranging module; and S2, acquiring the temperature of the face image point on each face area through a temperature sensing ranging module, and obtaining a face temperature measurement value according to the temperatures of all the face image points. The correction method calculates the temperature of each image frame by using the infrared image, can accurately obtain a temperature error correction function, and corrects the temperature measured by infrared temperature measurement by using the temperature error correction function, so as to obtain the human body temperature with higher precision; the face recognition temperature measuring device comprises a camera module, a temperature sensing and ranging module, a calculation processing module and a display module. The invention can quickly lock a plurality of faces and detect the temperature of each face by identifying the face image information, can simultaneously and remotely and quickly detect the body temperature of a plurality of people in a place with a large number of people, improves the security inspection efficiency, does not need to use an instrument to closely contact the human body for temperature measurement, and improves the safety.
Description
Technical Field
The invention relates to the technical field of infrared temperature measurement, in particular to an infrared temperature measurement correction method and device based on face recognition.
Background
Thermal infrared temperature measurement is a non-contact measurement, and the measurement speed is high, and the thermal infrared temperature measurement is often used for quick screening in quarantine, and the principle is to capture the thermal radiation of an object, and the thermal radiation has propagation attenuation in the atmosphere, and the object can also exchange with the atmospheric thermal radiation, that is, the measurement result can be deviated due to the high and low environmental temperature. In the prior art, one method is to manually input the ambient temperature to correct the measurement result, and the other method is to solve and correct all the measurement results in one day to make all the measurement results consistent, so as to eliminate the influence caused by the ambient temperature, but the former method has single data and poor correction effect; the latter requires a large number of data sets and is computationally expensive. When the existing human body temperature measuring device measures the temperature through the human face, the temperature can be measured only on a single human face, the temperature measuring time is long, the efficiency is low, and the measuring precision is not high. And when measuring, need closely contact the human body, increased the risk of cross infection.
Disclosure of Invention
In order to solve the problems and the defects of the prior art, the invention aims to provide an infrared temperature measurement correction method and an infrared temperature measurement correction device based on face recognition, which can simultaneously detect the temperatures of a plurality of faces in a long distance, improve the detection efficiency and the detection safety, reduce the influence of environmental temperature factors on the temperature measurement precision of a human body, and improve the temperature measurement precision.
In order to achieve the above object, the present invention firstly provides a face recognition temperature measurement method, which comprises the following steps:
s1, acquiring and identifying one or more face images, and respectively generating face areas corresponding to the face images on a dot matrix area of a temperature-sensing ranging module;
and S2, acquiring the temperature of the face image point on each face area through a temperature sensing ranging module, and obtaining a face temperature measurement value according to the temperatures of all the face image points.
The method for generating the face area on the dot matrix area of the temperature-sensing ranging module further comprises the steps of identifying the face image, obtaining the ID and the position coordinates of the face image, and mapping the position coordinates to the dot matrix area of the temperature-sensing ranging module through a mapping algorithm to generate the corresponding face area.
Further, in step S2, the method for obtaining the face temperature includes obtaining a face distance, calculating temperature values T of all face image points on the face area by combining the face distance, and taking a maximum value of the temperature values as a face temperature value.
Further, in step S2, a temperature value of the face image point is calculated by a temperature compensation algorithm, where the temperature compensation algorithm includes: acquiring a temperature initial value T f of the face image point and an environment temperature value T0, and compensating and correcting the temperature initial value T f according to the environment temperature value T0.
Further, the method for performing compensation correction on the initial temperature value tf according to the ambient temperature value T0 includes: obtaining a measurement value range according to the environmental temperature value T0, wherein the lower limit value of the measurement value range is T L, the upper limit value of the measurement value range is T H, and if T L is not less than T f and not more than T H, the temperature value T = T C1+ k 1/(T H-T L) × (T f-T L) of the face image point, wherein T C1 is a first correction value, and k1 is a first correction coefficient; if T f > T H, the temperature value T = T C2+ (a + k2 × T0) (T f-T H), where T C2 is a second correction value, a is a first compensation value, and k2 is a second correction coefficient; if T f < T L, the temperature value T = T C3+ (B + k3 × T0) (T f-T L), where T C3 is a third correction value, B is a second compensation value, and k3 is a third correction coefficient.
Further, if T0 ≦ 25 (° c), T L = T1+ M1 (T0-25), T H = T2+ M2 (T0-25), where T1 is the first environmental correction value, T2 is the second environmental correction value, M1 is the first environmental coefficient, and M2 is the second environmental coefficient; if T0>25 (° c), T L = T1+ M3 (T0-25), T H = T2+ M4 (T0-25), where M3 is a third environmental coefficient and M4 is a fourth environmental coefficient.
Further, when the human face is not recognized, the average value of the temperature values of all the dots on the dot matrix area is taken as the ambient temperature.
Further, the face distance is within 3 m.
The invention also provides a face recognition temperature measurement device, and the face recognition temperature measurement method comprises the following steps:
the camera module is used for acquiring face image data;
a temperature sensing ranging module for collecting the human face distance and the human face temperature data,
the computing processing module is used for identifying whether the image acquired by the camera module is a face image or not and computing the face temperature according to the face distance and the face temperature data acquired by the temperature sensing ranging module;
and the display module is used for displaying the data processing result of the calculation processing module.
The temperature sensing ranging system further comprises a connection port module used for data transmission and power supply connection, and the temperature sensing ranging module is connected with the calculation processing module through the connection port module; the calculation processing module is connected with the entrance guard examination system or the public security department system.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, through identifying face image information, a plurality of faces are quickly locked, the temperature of each face is detected, the temperature of each image frame is calculated by utilizing an infrared image, the indoor temperature can be accurately measured, a temperature error correction function can be accurately obtained, and the temperature measured through infrared temperature measurement is corrected by utilizing the temperature error correction function, so that the human body temperature with higher precision is obtained; in the place that the stream of people is many, the long-range quick detection many people body temperature of can being simultaneously improves the security check efficiency to need not closely contact the human body with the instrument and carry out the temperature measurement, improved the security.
Drawings
FIG. 1 is a schematic diagram of a mapping algorithm according to a first embodiment of the present invention;
FIG. 2 is a diagram of method steps according to a first embodiment of the present invention;
FIG. 3 is a flowchart of temperature calibration according to a second embodiment of the present invention;
fig. 4 is a block diagram of a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The first embodiment is as follows:
the embodiment of the invention provides a temperature measurement method based on face recognition, which comprises the following steps as shown in figure 1:
s1, acquiring and identifying one or more face images, and respectively generating face areas corresponding to the face images on a dot matrix area of a temperature-sensing ranging module;
and S2, acquiring the temperature of the face image points on each face area through a temperature-sensing distance measuring module, and obtaining a face temperature measured value according to the temperatures of all the face image points.
By adopting the method, the human faces are quickly locked and the temperature of each human face is detected by identifying the human face image information, so that the body temperature of a plurality of people can be remotely and quickly detected at the same time in a place with a large number of people, the safety inspection efficiency is improved, and the instrument does not need to be in close contact with the human body for temperature measurement, so that the safety is improved.
The method for generating the face area on the dot matrix area of the temperature-sensing ranging module comprises the steps of identifying a face image, obtaining the ID and the position coordinates of the face image, and mapping the position coordinates to the dot matrix area of the temperature-sensing ranging module through a mapping algorithm to generate the corresponding face area.
The mapping algorithm of this embodiment is as shown in fig. 2, the camera acquires a face image, acquires an image with a preview resolution of 1066 × 800 from the camera preview information, and then acquires coordinates of each face through the face recognition algorithm, the resolution of the temperature-sensitive ranging module sensor is 32 × 24, and the dot matrix that the face is mapped to the temperature-sensitive ranging module sensor can be calculated according to the resolution.
It should be noted that, the face recognition algorithm belongs to a well-established technical means, and at least one face recognition algorithm is generally known to those skilled in the art. The face recognition algorithm is not an improvement of the present invention and is not within the scope of the present invention.
In the step S2, the method for obtaining the face temperature includes obtaining the face distance, calculating the temperature values T of all face image points on the face area by combining the face distance, and taking the maximum value as the temperature value of the face. The face distance is within 1.2m in this embodiment, can guarantee the temperature measurement precision when guaranteeing safe temperature measurement like this.
It should be noted that many temperature measuring devices including infrared temperature measurement all combine distance when measuring temperature, and the specific algorithm belongs to the technical means generally known by those skilled in the art, and is not within the protection scope of the present invention.
Calculating the temperature value of the face image point through a temperature compensation algorithm, wherein the temperature compensation algorithm comprises the following steps: acquiring a temperature initial value Tf of the face image point and an environment temperature value T0, and performing compensation correction on the temperature initial value Tf according to the environment temperature value T0. Tf is temperature data directly read from the temperature sensing ranging module, and needs to be compensated and corrected by combining with the ambient temperature T0, so that the finally obtained temperature measurement value can be closer to the real temperature of a human body, and the detection precision is improved.
When the human face is not recognized, the average value of the temperature values of all the points on the dot matrix area is used as the environment temperature. In this embodiment, the dot matrix has 32 × 24=768 dots, and 768 pieces of temperature data can be collected.
The method for compensating and correcting the initial temperature value Tf according to the ambient temperature value T0 includes: and obtaining a measurement value range according to the environmental temperature value T0, wherein the lower limit value of the measurement value range is TL, and the upper limit value of the measurement value range is TH.
If TL is less than or equal to Tf and less than or equal to TH, the temperature value T = TC1+ k 1/(TH-TL) × (Tf-TL), where TC1 is a first correction value and k1 is a first correction coefficient. According to a large amount of data obtained in the previous experiment, after the data are analyzed, in the embodiment, the value of TC1 is 36.3, and the value of k1 is 0.5; namely, the temperature value T =36.3+ 0.5/(TH-TL) (Tf-TL) of the face image point.
If Tf > TH, the temperature value T = TC2+ (a + k2 × T0) (Tf-TH), where TC2 is a second correction value, a is a first compensation value, and k2 is a second correction coefficient; according to a large amount of data obtained in the previous experiment, after analyzing the data, in this embodiment, the TC2 value is 36.8, the a value is 0.829320617815896, and the k2 value is 0.0023644335442161; i.e. the temperature value of the face pixels
T＝36.8+(0.829320617815896+0.0023644335442161*T0)*(Tf-TH)。
If Tf < TL, the temperature value T = TC3+ (B + k3 × T0) (Tf-TL) of the face image point, where TC3 is a third correction value, B is a second compensation value, and k3 is a third correction coefficient. According to a large amount of data obtained in the previous experiment, after the data are analyzed, in the embodiment, the TC3 value is 36.3, the B value is 0.551658272522697, and the k3 value is 0.0215250684640259; i.e. the temperature value of the face pixels
T＝36.3+(0.551658272522697+0.0215250684640259*T0)*(Tf-TL)。
The calculation method for TL and TH is as follows:
if T0 is less than or equal to 25 (° c), TL = T1+ M1 (T0-25), and TH = T2+ M2 (T0-25), where T1 is the first environmental correction value, T2 is the second environmental correction value, M1 is the first environmental coefficient, and M2 is the second environmental coefficient.
If T0>25 (° c), TL = T1+ M3 (T0-25), and TH = T2+ M4 (T0-25), where M3 is a third environmental coefficient and M4 is a fourth environmental coefficient.
According to a large amount of data obtained in the previous experiment, after the data is analyzed, in this embodiment, the value of T1 is 32.66, the value of T2 is 34.84, the value of M1 is 0.186, the value of M2 is 0.148, the value of M3 is 0.086, and the value of M4 is 0.100.
The specific temperature compensation algorithm of this embodiment is as follows:
1) Calculating a lower limit value TL and an upper limit value TH of the measurement range according to the ambient temperature T0:
if T0 ≦ 25 (° C), TL =32.66+0.186 (T0-25), TH =34.84+0.148 (T0-25);
if T0>25 (. Degree. C.), TL =32.66+0.086 (T0-25), TH =34.84+0.100 (T0-25);
2) And calculating the temperature value T of the face image point by combining the initial temperature values Tf, TL and TH:
if TL ≦ Tf ≦ TH, T =36.3+ 0.5/(TH-TL) × (Tf-TL);
if Tf is greater than TH, then
T＝36.8+(0.829320617815896+0.0023644335442161*T0)*(Tf-TH)；
If Tf < TL, then
T＝36.3+(0.551658272522697+0.0215250684640259*T0)*(Tf-TL)；
Through the temperature compensation algorithm, the temperature value directly measured by the temperature sensing ranging module can be compensated and corrected, so that the finally obtained temperature measurement value can be closer to the real temperature of a human body, and the detection precision is improved.
Example two:
the embodiment of the invention provides a temperature correction method
In this embodiment, a current infrared image frame of a video is obtained, the infrared image frame is divided into 4 parts or a multiple of 4 parts of first image blocks, an image block to be calculated is obtained after high-temperature first image blocks are screened out, the image block to be calculated is divided into 4 parts or a multiple of 4 parts of second image blocks, a target image block is obtained after low-temperature second image blocks are screened out, an average value of all pixel temperatures on the target image block is obtained, the obtained average value is set as a current room temperature, and after a preset time or a preset frame, for example, after 0.2-0.5 second or 6-12 frames, the step of obtaining the current infrared image frame and calculating the room temperature is repeated.
Obtaining a temperature error correction function according to the plurality of different room temperature values and the corresponding human body temperatures measured under the plurality of different room temperature values, and correcting the temperature measured by infrared temperature measurement according to the temperature error correction function; performing least square fitting according to the actual temperature of the surface of the human body, the room temperature environment different from the standard room temperature environment and the temperature measured in the room temperature environment different from the standard room temperature environment to obtain a temperature error correction function;
as shown in fig. 3, when the measured temperature needs to be corrected, a room temperature environment Tt0 with a standard room temperature environment of 25-27 ℃ and a human body temperature T0 measured under the room temperature environment are obtained, then a plurality of different room temperature environments Tti with room temperature environments outside the range of 25-27 ℃ and human body temperatures Ti measured under the room temperature environments are obtained, wherein i =1,2,3 \8230 \ 8230: (Tt) is obtained by performing least square fitting according to the data of T0, ti and Tti, and a corrected temperature Tture = Ti + f (Tti) is calculated by using the temperature error correction function f (Tt), thereby obtaining a corrected human body temperature value.
Example three:
the third embodiment of the present invention provides a face recognition temperature measurement device, which adopts the face recognition temperature measurement method provided in the first embodiment, as shown in fig. 4, and includes:
the camera module 1 is used for acquiring face image data;
a temperature sensing ranging module 2 used for collecting the human face distance and the human face temperature data,
the calculation processing module 3 is used for identifying whether the image acquired by the camera module 1 is a face image or not, and calculating to obtain the face temperature according to the face distance and the face temperature data acquired by the temperature sensing ranging module 2;
and the display module 4 is used for displaying the data processing result of the calculation processing module 3.
By adopting the structure, in a place with a lot of people, the body temperature of a plurality of people can be remotely and rapidly detected simultaneously, the safety inspection efficiency is improved, and the instrument does not need to be in close contact with the human body for temperature measurement, so that the safety is improved.
The temperature sensing and ranging module 2 comprises an infrared temperature sensing unit 21 and a ranging unit 22, and the infrared temperature sensing unit 21 and the ranging unit 22 are respectively connected with the calculation processing module 3 in a data transmission manner. The calculation processing module 3 calculates the face temperature according to the detection values of the infrared temperature sensing unit 21 and the distance measuring unit 22.
The temperature sensing and ranging system further comprises a connection port module 5 used for data transmission and power supply connection, and the temperature sensing and ranging module 2 is connected with the calculation processing module 3 through the connection port module 5. In this embodiment, the connection port module 5 adopts a USB interface, which is convenient to use and has high compatibility.
In the embodiment, the calculation processing module 3 is connected with an entrance guard check system, so that entrance guard check-in and health management can be realized; the system can also be connected with a public security department system to realize real-name authentication; thus, the identity information and the health information of each person can be in one-to-one correspondence.
While the invention has been described with reference to specific preferred embodiments, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the following claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An infrared temperature measurement correction method based on face recognition is characterized by comprising the following steps:
s1, acquiring and identifying one or more face images, and respectively generating face areas corresponding to the face images on a dot matrix area of a temperature-sensing ranging module;
and S2, acquiring the temperature of the face image point on each face area through the temperature sensing ranging module, and obtaining the temperature measured value of the face according to the temperatures of all the face image points.
2. The face identification temperature measurement correction method according to claim 1, wherein in step S1, the method for generating the face region on the dot matrix region of the temperature-sensing distance measurement module comprises the steps of obtaining the ID and the position coordinates of the face image after identifying the face image, and mapping the position coordinates to the dot matrix region of the temperature-sensing distance measurement module by a mapping algorithm to generate the corresponding face region.
3. The method for temperature measurement and correction in face recognition according to claim 1 or 2, wherein in step S2, the method for obtaining the face temperature includes obtaining face distances, calculating temperature values T of all face image points in the face area by combining the face distances, and taking the maximum value as the temperature value of the face.
4. The method for temperature measurement and correction in face recognition according to claim 3, wherein in step S2, the temperature value of the face image point is calculated by a temperature compensation algorithm, and the temperature compensation algorithm comprises: and acquiring a temperature initial value Tf and an environment temperature value T0 of the face image point, and performing compensation correction on the temperature initial value Tf according to the environment temperature value T0.
5. The method for correcting temperature measurement in face recognition according to claim 4, wherein the method for performing compensation correction on the initial temperature value Tf according to the environmental temperature value T0 comprises: obtaining a measurement value range according to the environment temperature value T0, wherein the lower limit value of the measurement value range is TL, the upper limit value of the measurement value range is TH, and if TL is not less than Tf and not more than TH, the temperature value T = TC1+ k 1/(TH-TL) × (Tf-TL), wherein TC1 is a first correction value, and k1 is a first correction coefficient; if Tf > TH, the temperature value T = TC2+ (a + k2 × T0) (Tf-TH) of the face image point, where TC2 is a second correction value, a is a first compensation value, and k2 is a second correction coefficient; and if Tf is less than TL, the face image point temperature value T = TC3+ (B + k3 × T0) (Tf-TL), where TC3 is a third correction value, B is a second compensation value, and k3 is a third correction coefficient.
6. The method of claim 5, wherein if T0 is less than or equal to 25 (° c), TL = T1+ M1 (T0-25), and TH = T2+ M2 (T0-25), where T1 is a first environmental correction value, T2 is a second environmental correction value, M1 is a first environmental coefficient, and M2 is a second environmental coefficient; if T0>25 (° c), TL = T1+ M3 (T0-25), and TH = T2+ M4 (T0-25), where M3 is a third environmental coefficient and M4 is a fourth environmental coefficient.
7. The method of claim 4, wherein when no human face is recognized, the average of the temperature values of all points on the dot matrix area is used as the ambient temperature.
8. The method of claim 3, wherein the face distance is within 3 m.
9. A face recognition temperature measurement device, which adopts the face recognition temperature measurement correction method of any one of claims 1 to 8, and is characterized by comprising:
the camera module is used for acquiring face image data;
a temperature sensing ranging module for collecting the human face distance and the human face temperature data,
the calculation processing module is used for identifying whether the image acquired by the camera module is a face image or not and calculating the face temperature according to the face distance and the face temperature data acquired by the temperature-sensing distance measurement module;
and the display module is used for displaying the data processing result of the calculation processing module.
10. The device for detecting the temperature through the human face recognition according to claim 9, further comprising a connection port module for data transmission and power supply connection, wherein the temperature sensing and ranging module is connected with the calculation processing module through the connection port module for data transmission; the calculation processing module is connected with an entrance guard examination system or a public security department system.
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| CN116982942B (en) * | 2023-08-07 | 2024-04-02 | 武汉迅检科技有限公司 | Oral cavity temperature measurement method and system based on infrared thermal imaging |
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