CN112097915A - Face recognition temperature measurement method and device - Google Patents
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- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims abstract description 15
- 239000011159 matrix material Substances 0.000 claims abstract description 12
- 238000012937 correction Methods 0.000 claims description 30
- 230000007613 environmental effect Effects 0.000 claims description 12
- 238000013507 mapping Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 4
- 230000036760 body temperature Effects 0.000 abstract description 5
- 238000007689 inspection Methods 0.000 abstract description 4
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- 238000002474 experimental method Methods 0.000 description 4
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
- G01J5/0025—Living bodies
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C3/00—Measuring distances in line of sight; Optical rangefinders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
Abstract
The invention discloses a face recognition temperature measurement method and a face recognition temperature measurement device, 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 the dot matrix area of the 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 measurement value of the face according to the temperatures of all the face image points. 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 belongs to the technical field of face recognition temperature measurement, and particularly relates to a face recognition temperature measurement method and device.
Background
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 a face identification temperature measurement method and a face identification temperature measurement device, which can simultaneously detect the temperatures of a plurality of faces in a long distance and improve the detection efficiency and the detection safety.
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 the dot matrix area of the 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 measurement value of the face 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 in 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, the temperature value of the face image point is calculated by a temperature compensation algorithm, where the temperature compensation algorithm includes: obtaining the initial value T of the temperature of the face image pointfAnd an ambient temperature value T0According to the ambient temperature value T0To the initial value T of temperaturefAnd performing compensation correction.
Further, according to the ambient temperature value T0To the initial value T of temperaturefThe method for performing compensation correction comprises the following steps: according to the ambient temperature value T0Obtaining a measurement value range with a lower limit value of TLThe upper limit value is THIf T isL≤Tf≤THThe temperature value T of the face image point is equal to TC1+k1/(TH-TL)*(Tf-TL) Wherein, TC1Is a first correction value, k1Is a first correction coefficient; if Tf>THIf the temperature value T of the face image point is equal to TC2+(A+k2*T0)*(Tf-TH) Wherein, TC2Is a second correction value, A is a first compensation value, k2Is a second correction coefficient; if Tf<TLIf the temperature value T of the face image point is equal to TC3+(B+k3*T0)*(Tf-TL) Wherein, TC3Is a third correction value, B is a second compensation value, k3Is the third correction factor.
Further, if T0T is less than or equal to 25 DEG CL＝T1+M1*(T0-25)，TH＝T2+M2*(T0-25), wherein T1Is a first ambient correction value, T2For a second ambient correction value, M1Is a first environmental coefficient, M2Is the second environmental coefficient; if T0>25 (. degree. C.) is, TL＝T1+M3*(T0-25)，TH＝T2+M4*(T0-25), wherein M3Is a third environmental coefficient, M4Is the 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 1.2 m.
The invention also provides a face recognition temperature measuring device, which adopts the face recognition temperature measuring method and 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: 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.
Drawings
FIG. 1 is a diagram of method steps according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a mapping algorithm according to a first embodiment of the present invention;
fig. 3 is a module connection diagram according to a second 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 face recognition temperature measurement method, as shown in figure 1, comprising the following steps:
s1, acquiring and identifying one or more face images, and respectively generating face areas corresponding to the face images on the dot matrix area of the 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 measurement value of the face 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.
As shown in fig. 2, the mapping algorithm of this embodiment is that a camera acquires a face image, an image with a preview resolution of 1066 × 800 is acquired from camera preview information, and then coordinates of each face are acquired through a face recognition algorithm, the resolution of the temperature-sensing ranging module sensor is 32 × 24, and a dot matrix that the face is mapped to the temperature-sensing 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 step S2, the method for obtaining the face temperature includes obtaining the face distance, calculating the temperature values T of all face image points in 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: obtaining the initial value T of the temperature of the face image pointfAnd an ambient temperature value T0According to the ambient temperature value T0To the initial value T of temperaturefPerforming compensation correction。TfIs temperature data directly read from a temperature sensing ranging module and needs to be combined with the ambient temperature T0For TfAnd compensation correction is carried out, 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 lattice has 32 × 24 — 768 pixels, and 768 pieces of temperature data can be collected.
According to the ambient temperature value T0To the initial value T of temperaturefThe method for performing compensation correction comprises the following steps: according to the ambient temperature value T0Obtaining a measurement value range with a lower limit value of TLThe upper limit value is TH。
If TL≤Tf≤THThe temperature value T of the face image point is equal to TC1+k1/(TH-TL)*(Tf-TL) Wherein, TC1Is a first correction value, k1Is a first correction factor. According to a large amount of data obtained by the previous experiment, after analyzing the data, in this embodiment, T isC1The value 36.3, k1The value is 0.5; that is, the temperature value T of the face image point is 36.3+ 0.5/(T)H-TL)*(Tf-TL)。
If Tf>THIf the temperature value T of the face image point is equal to TC2+(A+k2*T0)*(Tf-TH) Wherein, TC2Is a second correction value, A is a first compensation value, k2Is a second correction coefficient; according to a large amount of data obtained by the previous experiment, after analyzing the data, in this embodiment, T isC2Value 36.8, A value 0.829320617815896, k2Value 0.0023644335442161; i.e. the temperature value of the face pixels
T＝36.8+(0.829320617815896+0.0023644335442161*T0)*(Tf-TH)。
If Tf<TLIf the temperature value T of the face image point is equal to TC3+(B+k3*T0)*(Tf-TL) Wherein, TC3Is a third correction value, B is a second compensation value, k3Is the third correction factor. According to a large amount of data obtained by the previous experiment, after analyzing the data, in this embodiment, T isC3Value 36.3, B value 0.551658272522697, k3Value 0.0215250684640259; i.e. the temperature value of the face pixels
T＝36.3+(0.551658272522697+0.0215250684640259*T0)*(Tf-TL)。
For TLAnd THThe calculation method of (2) is as follows:
if T0T is less than or equal to 25 DEG CL＝T1+M1*(T0-25)，TH＝T2+M2*(T0-25), wherein T1Is a first ambient correction value, T2For a second ambient correction value, M1Is a first environmental coefficient, M2Is the second ambient coefficient.
If T0>25 (. degree. C.) is, TL＝T1+M3*(T0-25)，TH＝T2+M4*(T0-25), wherein M3Is a third environmental coefficient, M4Is the fourth environmental coefficient.
According to a large amount of data obtained by the previous experiment, after analyzing the data, in this embodiment, T is1Value 32.66, T2Taking the value of 34.84, M1Value of 0.186, M2Value 0.148, M3Value of 0.086, M4The value is 0.100.
The specific temperature compensation algorithm of this embodiment is as follows:
1) according to the ambient temperature T0Calculating the lower limit value T of the measured value rangeLAnd an upper limit value TH：
If T0≤25(℃)，TL＝32.66+0.186*(T0-25)，TH＝34.84+0.148*(T0-25)；
If T0>25(℃)，TL＝32.66+0.086*(T0-25)，TH＝34.84+0.100*(T0-25)；
2) Initial value T of bonding temperaturef、TL、THAnd calculating the temperature value T of the face image point:
if TL≤Tf≤THIf T is 36.3+ 0.5/(T)H-TL)*(Tf-TL)；
If Tf>THThen, then
T＝36.8+(0.829320617815896+0.0023644335442161*T0)*(Tf-TH)；
If Tf<TLThen, 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 second embodiment of the present invention provides a face recognition temperature measurement device, and the face recognition temperature measurement method provided in the first embodiment is adopted, as shown in fig. 3, the method includes:
the camera module 1 is used for acquiring face image data;
the temperature sensing ranging module 2 is used for collecting the face distance and the 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.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A face recognition temperature measurement method 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 the dot matrix area of the 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 measurement value of the face according to the temperatures of all the face image points.
2. The method for detecting the temperature of a human face according to claim 1, wherein in step S1, the method for generating the human face region on the lattice region of the temperature-sensing ranging module comprises obtaining the ID and the position coordinates of the human face image after the human face image is recognized, and mapping the position coordinates to the lattice region of the temperature-sensing ranging module by a mapping algorithm to generate the corresponding human face region.
3. The method for detecting the temperature of a human face according to claim 1 or 2, wherein in step S2, the method for obtaining the temperature of the human face includes obtaining a distance of the human face, calculating temperature values T of all human face image points in the human face area by combining the distance of the human face, and taking a maximum value of the temperature values T as the temperature value of the human face.
4. The method for detecting the temperature in the human face recognition according to claim 3, wherein in step S2, the temperature value of the human face image point is calculated by a temperature compensation algorithm, and the temperature compensation algorithm comprises: obtaining the initial temperature value T of the face image pointfAnd an ambient temperature value T0According to said ambient temperature value T0For the initial value T of the temperaturefAnd performing compensation correction.
5. The face recognition temperature measurement method according to claim 4, wherein the ambient temperature value T is used0For the initial value T of the temperaturefThe method for performing compensation correction comprises the following steps: according to the environmental temperature value T0Obtaining a measurement value range with a lower limit value TLThe upper limit value is THIf T isL≤Tf≤THThe temperature value T of the face image point is TC1+k1/(TH-TL)*(Tf-TL) Wherein, TC1Is a first correction value, k1Is a first correction coefficient; if Tf>THIf the temperature value T of the face image point is equal to TC2+(A+k2*T0)*(Tf-TH) Wherein, TC2Is a second correction value, A is a first compensation value, k2Is a second correction coefficient; if Tf<TLIf the temperature value T of the face image point is equal to TC3+(B+k3*T0)*(Tf-TL) Wherein, TC3Is the third schoolPositive value, B is the second compensation value, k3Is the third correction factor.
6. The face recognition temperature measurement method of claim 5, wherein if T is T0T is less than or equal to 25 DEG CL＝T1+M1*(T0-25)，TH＝T2+M2*(T0-25), wherein T1Is a first ambient correction value, T2For a second ambient correction value, M1Is a first environmental coefficient, M2Is the second environmental coefficient; if T0>25 (. degree. C.) is, TL＝T1+M3*(T0-25)，TH＝T2+M4*(T0-25), wherein M3Is a third environmental coefficient, M4Is the fourth environmental coefficient.
7. The face recognition temperature measurement method according to claim 4, wherein when no face is recognized, an average value of temperature values of all points on the dot matrix area is used as an ambient temperature.
8. The face recognition temperature measurement method according to claim 3, wherein the face distance is within 1.2 m.
9. A face recognition temperature measurement device, which adopts the face recognition temperature measurement method according to 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 the entrance guard examination system or the public security department system.
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| CN114459623A (en) * | 2022-04-13 | 2022-05-10 | 河北化工医药职业技术学院 | Angle adjustment control method and device of human face recognition body temperature detection device |
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