CN111157124A - Human body temperature measurement method, device and system based on face recognition - Google Patents
Human body temperature measurement method, device and system based on face recognition Download PDFInfo
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- G—PHYSICS
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- 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
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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
- G01J5/48—Thermography; Techniques using wholly visual means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/20—Clinical contact thermometers for use with humans or animals
- G01K13/223—Infrared clinical thermometers, e.g. tympanic
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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
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Abstract
The disclosure provides a human body temperature measurement method, a human body temperature measurement device, a human body temperature measurement system, human body temperature measurement equipment and a storage medium based on face recognition. The method comprises the following steps: a human face detection step, namely detecting a human face in real time; detecting a temperature measuring area, namely detecting the temperature measuring area capable of measuring the temperature in the face when an effective face is detected; measuring the body temperature, namely measuring the human body temperature of the temperature measuring area by using a temperature measuring device; and a comparison and judgment step, namely comparing the obtained human body temperature with a preset temperature value range, and judging whether the human body temperature is abnormal or not. The full-automatic, accurate and efficient temperature measurement method is low in input cost and low in user matching degree requirement, and user experience is improved.
Description
Technical Field
The present disclosure relates to the field of infrared temperature measurement, and in particular, to a human body temperature measurement method, device, system, computer device, and storage medium based on face recognition.
Background
At present, two main ways of non-contact infrared measurement of human body temperature are available on the market, one is an infrared forehead temperature gun, and the other is a way of adding a black body outside an infrared camera.
Infrared forehead temperature rifle only can be applicable to the scene of single inspection, needs the handheld forehead of aiming at the surveyed personnel of special temperature measurement personnel moreover, must be surveyed personnel cooperation distance and can carry out the temperature measurement near, generally need be within 5 cm.
Although the infrared camera blackbody adding mode can measure the temperature of a plurality of people at the same time in places with large flow of people, the accuracy is not as good as that of a forehead thermometer in a short distance, false alarm and missing report are easy, purchasing equipment is expensive, and the infrared camera blackbody adding mode can only be suitable for large-scale preliminary screening of places with large flow of people, such as stations, gateways and the like.
In the prior art, a scheme of low input cost, full automation, precision and high efficiency for human body temperature measurement is difficult to realize simultaneously.
Disclosure of Invention
The present disclosure has been made to solve the above problems, and an object of the present disclosure is to provide a fully automatic, accurate and efficient human body temperature measurement method, device, system, apparatus, and storage medium based on face recognition, which are low in investment cost and user-friendliness.
This disclosure provides this summary in order to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
In order to solve the above technical problem, an embodiment of the present disclosure provides a human body temperature measurement method based on face recognition, which adopts the following technical scheme, including:
a human face detection step, namely detecting a human face in real time;
detecting a temperature measuring area, namely detecting the temperature measuring area capable of measuring the temperature in the face when an effective face is detected;
measuring the body temperature, namely measuring the human body temperature of the temperature measuring area by using a temperature measuring device;
and a comparison and judgment step, namely comparing the obtained human body temperature with a preset temperature value range, and judging whether the human body temperature is abnormal or not.
In order to solve the above technical problem, an embodiment of the present disclosure further provides a human body temperature measuring device based on face recognition, which adopts the following technical scheme, including:
the face detection module is used for detecting the face in real time;
the detection temperature measurement area module is used for detecting a temperature measurement area which can measure the temperature in the human face when the effective human face is detected;
the body temperature measuring module is used for measuring the human body temperature of the temperature measuring area;
the comparison and judgment module is used for comparing the obtained human body temperature with a preset temperature value range and with the previous temperature value of the user and judging whether the abnormality exists or not;
and the record prompting module is used for recording the result of the comparison and judgment module into the user history information for storage and prompting the user.
In order to solve the above technical problem, an embodiment of the present disclosure further provides a human body temperature measurement system based on face recognition, which adopts the following technical scheme, including:
the human body temperature measuring device based on the human face recognition;
and the server is at least used for storing one of the user identity information and the body temperature information.
In order to solve the above technical problem, an embodiment of the present disclosure further provides a computer device, which adopts the following technical solution, including:
a memory having a computer program stored therein and a processor implementing the method as described above when executing the computer program.
In order to solve the above technical problem, an embodiment of the present disclosure further provides a computer-readable storage medium, which adopts the following technical solutions and includes:
the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method as described above.
According to the technical scheme disclosed in the present disclosure, compared with the prior art, the present disclosure can realize the combination of the terminal based on face recognition and the contactless infrared temperature measurement technology, and it is guaranteed that in a certain distance, the effect of automatic body temperature measurement with low input cost, low user adaptability, full automation, accuracy and high efficiency is realized, and the user experience is improved.
Drawings
FIG. 1 is an exemplary system architecture diagram in which the present disclosure may be applied;
FIG. 2 is a flow diagram of one embodiment of a human body thermometry method based on face recognition according to the present disclosure;
FIG. 3 is a schematic diagram of one embodiment of a human body thermometry method based on face recognition according to the present disclosure;
FIG. 4 is a schematic structural diagram of an embodiment of a human body temperature measurement device based on face recognition according to the present disclosure;
FIG. 5 is a schematic diagram of one embodiment of a human body thermometry device based on face recognition according to the present disclosure;
FIG. 6 is a schematic diagram of one embodiment of a human body thermometry device based on face recognition according to the present disclosure;
FIG. 7 is a schematic diagram illustrating the use of one embodiment of a human body thermometry device based on face recognition according to the present disclosure;
FIG. 8 is a schematic structural diagram of an embodiment of a human body temperature measurement device based on face recognition according to the present disclosure.
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure; the terms "including" and "having," and any variations thereof, in the description and claims of this disclosure and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of the present disclosure or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the disclosure. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions of the present disclosure better understood by those skilled in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
[ System Structure ]
First, the structure of the system of one embodiment of the present disclosure is explained. As shown in fig. 1, the system configuration may include terminal devices 101, 102, a network 103, and a server 104. The network 103 serves as a medium for providing communication links between the terminal devices 101, 102 and the server 104.
In the embodiment, electronic devices (for example, the terminal devices 101 and 102 shown in fig. 1) on which the human body thermometry method based on face recognition is operated can perform transmission of various information through the network 103. Network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few. It is noted that the wireless connection means may include, but is not limited to, a 3G/4G/5G connection, a Wi-Fi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a UWB connection, a local area network ("LAN"), a wide area network ("WAN"), an internet network (e.g., the internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as other now known or later developed network connection means. The network 103 may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect any form or medium of digital data communication (e.g., a communications network).
The user may use the terminal devices 101, 102 to interact with the server 104 over the network 103 to receive or send messages or the like. Various client applications, such as a live video and broadcast application, a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like, may be installed on the terminal devices 101 and 102.
The terminal devices 101, 102 may be various electronic devices having a touch display screen and/or supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (moving picture experts group compressed standard audio layer 3), MP4 (moving picture experts group compressed standard audio layer 4) players, head mounted display devices, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and mobile terminals such as digital TVs, desktop computers, and the like.
The server 104 may be a server providing various services, such as a background server providing support for pages displayed or data transferred on the terminal devices 101, 102.
In one or more embodiments, the server 104 is used, for example, to store user identity information, body temperature information, and the like.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Here, the terminal device may implement the embodiment method of the present disclosure independently or by running applications in various operating systems, such as an android system, in cooperation with other electronic terminal devices, or may run applications in other operating systems, such as applications in an iOS system, a Windows system, a hong meng system, and the like, to implement the embodiment method of the present disclosure.
[ human body temperature measurement method based on face recognition ]
Referring to fig. 2, a flowchart of one embodiment of a human body thermometry method based on face recognition according to the present disclosure is shown. The human body temperature measurement method based on the face recognition comprises the following steps:
a human face detection step S21, detecting human faces in real time;
in one or more embodiments, the face detection step S21 further includes a face tracking step (not shown) for tracking the face detected in real time, including:
determining a human body skin color area through analyzing pixels in the real-time image;
detecting whether specific human body features such as eyes exist in a human skin color area;
and if the specific human body features such as eyes exist, determining the human body features as valid human faces and tracking the valid human faces in real time. Of course, the specific human body feature here may also be a combination of other human body features, such as one or more of mouth, nose, eyebrows, etc., or may also be a feature of a human face wearing a mask.
In one or more embodiments, the face tracking step further comprises determining different regions of the face, such as the forehead above the eyes, the nose below the eyes, the mouth below the eyes, and the like, based on the eyes during the real-time tracking process, and tracking the different regions in real time.
A temperature measurement region detection step S22, when an effective human face is detected, detecting a temperature measurement region capable of measuring temperature in the human face;
in one or more embodiments, the step S22 of detecting a temperature measurement area further includes a step (not shown) of detecting and adjusting, for example, determining a forehead position of the human face in an area above the human face according to the eye position detected in the step of tracking the human face as a temperature measurement area, and adjusting the temperature measurement device to scan the forehead position of the human face to measure the forehead position of the human face; the forehead position is determined through eyes, and temperature measurement can be carried out even if a user wears a mask. Or the characteristics of the mask can be determined, and the upper part of the mask is determined to be used as a temperature measuring area for measuring the temperature. The adjusting of the temperature measuring device comprises adjusting the rotation angle, the scanning distance, the scanning area and the like of the temperature measuring device according to the forehead position of the human face in real time.
In one or more embodiments, the step of detecting adjustments further comprises:
according to the forehead position of the face determined in the face tracking step, a specific area is set on the display screen to prompt a user to adjust the forehead position to the specific area, wherein the specific area is, for example, a face shape area displayed in a display of the temperature measuring device, and guides the user to adjust the face to the face shape area displayed in the display, so that the forehead position of the user can be determined.
A body temperature measuring step S23, measuring the body temperature of the temperature measuring area;
in one or more embodiments, the step of measuring the body temperature further includes an error elimination step of eliminating an error of the actual body temperature of the user caused by a high temperature factor or a low temperature factor of the external environment, including:
acquiring local meteorological temperature information or environmental temperature information of a temperature measuring device;
acquiring the scanning distance obtained in the step of detecting and adjusting;
the method comprises the steps of weighting local meteorological temperature information or environment temperature information of a temperature measuring device with a scanning distance, and adding or subtracting the weighted information with the measured user body temperature to obtain an actual body temperature, wherein the environment temperature obtained by the temperature measuring device is 5 ℃, the scanning distance between the forehead position of a human face and the temperature measuring device is 30cm, the measured temperature is possibly lower than the actual body temperature of a user due to the fact that the environment temperature is lower than the normal temperature of a human body, for example, the decreasing temperature of the scanning distance of 30cm is 0.2 ℃, and the error of the decreasing temperature of 0.2 ℃ is added to the measured body temperature to serve as the actual body temperature of the user.
A comparison and judgment step S24, comparing the obtained human body temperature with a preset temperature value, such as a normal value range, and judging whether an abnormality exists;
in one or more embodiments, the comparing and determining step S24 further includes comparing the obtained human body temperature with a preset normal value range and with a previous temperature value of the user, and determining whether there is an abnormality;
in one or more embodiments, the method further includes a recording prompting step of recording and prompting the result of the comparison and judgment step S24 to the user.
In one or more embodiments, the recording and prompting step further includes recording and saving the result of the comparing and judging step S24 in the user history information.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
[ human body temperature measurement method embodiment based on face recognition ]
Next, an embodiment of the present disclosure is described, and as shown in fig. 3, is a schematic diagram of an embodiment of a human body temperature measurement method based on face recognition according to the present disclosure. In the present embodiment, it is preferred that,
step 1, firstly, carrying out real-time face detection by a terminal;
step 2, judging whether a face is detected, if not, returning to the step 1, and if so, entering the next step;
step 3, judging whether the identity of the detected face is recognized, if the identity needs to be recognized, reading user identity information from the server, comparing the face, judging whether the face is a person in a preset list, and if not, returning to the step 1; if the face comparison is successful or the face identification is not needed, the next step is carried out;
here, in the process of identifying the identity by the face, face tracking can be performed, and the tracking of the face detected in real time includes:
determining a human body skin color area through analyzing pixels in the real-time image;
detecting whether eyes exist in a human body skin color area;
and if the eyes exist, determining the effective face and tracking the effective face in real time.
In one or more embodiments, face tracking further includes eye-referenced determination of different regions of the face and real-time tracking during real-time tracking.
Step 4, detecting the forehead position of the human face, judging whether the forehead position of the human face is in the area of the designated identification, if not, prompting the tested person to adjust the position or the distance so as to adjust the forehead position to the designated area, wherein the adjustment of the angle, the distance and the like can be automatically carried out by the temperature measuring device without the adjustment of the tested person; if the adjustment time is overtime, returning to the step 1, and if the adjustment time is not overtime, re-entering the step 4;
step 5, measuring the temperature of the forehead position of the detected human face;
in one or more embodiments, measuring the body temperature further includes error elimination, which eliminates an error of the actual body temperature of the user caused by a high temperature factor or a low temperature factor of the external environment, including:
acquiring local meteorological temperature information or environmental temperature information of a temperature measuring device;
acquiring the scanning distance obtained in the step of detecting and adjusting;
weighting the local meteorological temperature information or the environmental temperature information of the temperature measuring device with the scanning distance, and then adding or subtracting the weighted local meteorological temperature information or the environmental temperature information of the temperature measuring device and the measured user body temperature to obtain the actual body temperature, wherein the measured environmental temperature of the temperature measuring device is 5 ℃, the scanning distance between the forehead position of the human face and the temperature measuring device is 30cm, the measured temperature is possibly lower than the actual body temperature of the user due to the fact that the environmental temperature is lower than the normal temperature of the human body, for example, the decreasing temperature of the scanning distance of 30cm is 0.2 ℃, and the error of the decreasing temperature of 0.2 ℃ is added into the measured body temperature to serve as the actual body temperature;
step 6, judging whether the body temperature of the user is normal, comparing the obtained body temperature with a normal value range, and judging whether abnormality exists;
in one or more embodiments, the determining whether the body temperature of the user is normal further includes comparing the obtained body temperature with a preset normal value range and with a previous temperature value of the user, and determining whether there is an abnormality; if the body temperature is normal, entering the next step, if the body temperature is abnormal, sending out an abnormal body temperature alarm, and entering the next step;
and 7, recording the body temperature data, carrying out voice prompt and displaying the body temperature data through a screen.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read Only Memory (ROM), or a Random Access Memory (RAM).
[ human body temperature measuring device based on face recognition ]
In order to implement the technical solution in the embodiment of the present disclosure, an embodiment of the present disclosure provides a human body temperature measuring device based on face recognition, and the device may be specifically applied to various electronic terminal devices, as shown in fig. 4, including: the system comprises a face detection module 401, a temperature measurement area detection module 402, a body temperature measurement module 403, a comparison and judgment module 404, a record prompting module 405, a face tracking module 406, a detection and adjustment module 407 and an error elimination module 408.
A face detection module 401, configured to detect a face in real time;
in one or more embodiments, the face detection module 401 further includes a face tracking module 406 for tracking the face detected in real time, including:
determining a human body skin color area through analyzing pixels in the real-time image;
detecting whether a specific human body feature such as an eye exists in the human skin color area;
and if specific human body features such as eyes exist, determining the human body features as valid human faces and tracking the valid human faces in real time.
In one or more embodiments, the face tracking module 406 is further configured to determine different regions of the face, such as the forehead above the eyes, the nose below, the mouth below, etc., with reference to the eyes during the real-time tracking and to track in real-time;
a temperature measurement region detection module 402, configured to detect a temperature measurement region in a human face, where temperature measurement can be performed, when an effective human face is detected;
in one or more embodiments, the temperature measurement region detection module 402 further includes a detection adjustment module 407, configured to determine, according to the eyes detected by the face tracking module 406, that the forehead position above the eye is a face as a temperature measurement region, and adjust the body temperature measurement module 403 to scan the forehead position of the face to measure the temperature of the forehead position of the face; the forehead position is determined through eyes, and temperature measurement can be carried out even if a user wears a mask.
The body temperature adjusting module 403 is a non-contact infrared temperature measuring device, and is used for adjusting the rotation angle, the scanning distance, the scanning area and the like of the body temperature adjusting module 403 in real time according to the forehead position of the human face;
in one or more embodiments, the detection adjustment module 407 is further configured to:
according to the forehead position of the face determined in the face tracking module 406, a specific area is set on the display screen to prompt the user to adjust the forehead position to the specific area, where the specific area is, for example, a face shape area displayed in a display of the temperature measuring device, and guides the user to adjust the face to the face shape area displayed in the display, so that the forehead position of the user can be determined.
A body temperature measuring module 403, configured to measure a body temperature of the temperature measuring area;
in one or more embodiments, the body temperature measurement module 403 further includes an error elimination module 408, configured to eliminate an error of the actual body temperature of the user caused by a high temperature factor or a low temperature factor of the external environment, including:
acquiring local meteorological temperature information or environmental temperature information of a temperature measuring device;
acquiring the scanning distance acquired by the detection adjusting module 407;
the method comprises the steps of weighting local meteorological temperature information or environment temperature information of a temperature measuring device with a scanning distance, and adding or subtracting the weighted information with the measured user body temperature to obtain an actual body temperature, wherein the environment temperature obtained by the temperature measuring device is 5 ℃, the scanning distance between the forehead position of a human face and the temperature measuring device is 30cm, the measured temperature is possibly lower than the actual body temperature of a user due to the fact that the environment temperature is lower than the normal temperature of a human body, for example, the decreasing temperature of the scanning distance of 30cm is 0.2 ℃, and the error of the decreasing temperature of 0.2 ℃ is added to the measured body temperature to serve as the actual body temperature of the user.
A comparison and judgment module 404, configured to compare the obtained human body temperature with a preset temperature value, such as a normal value range, and compare the obtained human body temperature with a previous temperature value of the user, so as to judge whether there is an abnormality;
and a recording prompting module 405, configured to record the result of the comparing and determining module 404 in the user history information, store the result, and prompt the user.
It should be understood that although each block in the block diagrams of the figures may represent a module, a portion of which comprises one or more executable instructions for implementing the specified logical function(s), the blocks are not necessarily executed sequentially. Each module and functional unit in the device embodiments in the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more modules or functional units are integrated into one module. The integrated modules can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium. The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
[ human body temperature measuring device based on face recognition ]
As shown in fig. 5, the human body temperature measurement device based on face recognition according to an embodiment of the present disclosure is schematically illustrated, and mainly includes a body temperature measurement module 403, for example, an infrared test module, a face detection module 401, for example, a camera, and a recording prompt module 405, for example, a display screen; the infrared testing module and the camera are fixedly installed together, so that an effective temperature measuring area of the infrared testing module is fixed in a certain range in front of a terminal display screen, a specific area needing to be displayed on a face temperature measuring part is identified at a certain position in the display screen, when a person to be tested enters a picture in the display screen, a face recognition algorithm recognizes a face, the forehead of the face can be accurately determined if the face to be tested is displayed in the specific area, and a prompt is given to guide the person to be tested to properly adjust the face position if the face to be tested is not displayed in the specific area, so that the person to be tested falls in the temperature measuring area, and temperature measurement is completed.
Here, in the embodiment shown in fig. 5, the infrared temperature measurement module and the face recognition terminal are separable, and the infrared temperature measurement module is an optional accessory, so that the installation position of the infrared temperature measurement module can be flexibly adjusted; as shown in fig. 6, which is a schematic diagram of another embodiment of the human body temperature measurement device based on face recognition according to the present disclosure, the infrared temperature measurement module and the face recognition terminal may be integrated, and the combination form is not limited as long as the content of the present disclosure can be implemented;
FIG. 7 is a schematic diagram illustrating the use of one embodiment of a human body thermometry device based on face recognition according to the present disclosure; as shown in the figure, in order to ensure the temperature measurement accuracy within a certain distance, a medical-grade infrared temperature sensing element with a small field of view (FOV) is selected, for example, the FOV is 5 degrees, because the FOV is small, when the body temperature of a human body is measured, the distance of a human station is close, the human station is easy to aim at the measurement part of the human face, for example, the forehead position of the human face, and the highest accuracy of the measurement range of 0-50 ℃ can reach +/-0.1 ℃. The temperature measuring area of the infrared temperature measuring module can be horizontally mapped to an area in front of the terminal display screen, a mark such as a face shape area is made in a specific area on a display interface of the terminal display screen, when the temperature of a person is measured, as long as the position of the measured person is adjusted, the face of the person is displayed in the specific area in the display screen, and the forehead of the part of the person to be measured is also in the temperature measuring area of the infrared temperature measuring module.
Referring now to fig. 8, a schematic diagram of an electronic device (e.g., a terminal device or server of fig. 1) 800 suitable for implementing embodiments of the present disclosure is shown. The terminal device in the embodiment of the present disclosure may be various terminal devices in the above system. The electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 8, an electronic device 800 may include a processing device (e.g., central processing unit, graphics processor, etc.) 801 for controlling overall operation of the electronic device. The processing device may include one or more processors to execute instructions to perform all or a portion of the steps of the method described above. Further, the processing device 801 may also include one or more modules for processing interactions with other devices.
Sensor means 803 for sensing prescribed measured information and converting it into a usable output signal according to a certain rule may comprise one or more sensors. For example, it may include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor or a temperature sensor, etc. for detecting changes in the on/off state, relative positioning, acceleration/deceleration, temperature, humidity, light, etc. of the electronic device.
The processing device 801, the storage device 802, and the sensor device 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
The multimedia device 806 may include an input device such as a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, etc. for receiving input signals from a user, and various input devices may cooperate with various sensors of the sensor device 803 to perform, for example, gesture operation input, image recognition input, distance detection input, etc.; the multimedia device 806 may also include an output device such as a Liquid Crystal Display (LCD), speaker, vibrator, etc.
The power supply device 807, used to provide power to various devices in the electronic equipment, may include a power management system, one or more power supplies, and components to distribute power to other devices.
The communication device 808 may allow the electronic apparatus 800 to communicate with other apparatuses wirelessly or by wire to exchange data.
Each of the above devices may also be connected to the I/O interface 805 to enable applications of the electronic device 800.
While fig. 8 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means, or may be installed from a storage means. The computer program, when executed by a processing device, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
It is noted that the computer readable medium described above in this disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network or connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
According to one or more embodiments of the present disclosure, a human body temperature measurement method based on face recognition is provided, which is characterized in that the method includes:
a human face detection step, namely detecting a human face in real time;
detecting a temperature measuring area, namely detecting the temperature measuring area capable of measuring the temperature in the face when an effective face is detected;
measuring the body temperature, namely measuring the human body temperature of the temperature measuring area by using a temperature measuring device;
and a comparison and judgment step, namely comparing the obtained human body temperature with a preset temperature value range, and judging whether the human body temperature is abnormal or not.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measurement method based on face recognition,
the face detection step further comprises a face tracking step of tracking the face detected in real time, and the face detection step comprises the following steps:
determining a human body skin color area through analyzing pixels in the real-time image;
detecting whether specific human body features exist in the human body skin color area or not;
and if the specific human body features exist, determining the human body features as effective human faces and tracking the effective human faces in real time.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measurement method based on face recognition,
the specific human feature is an eye;
the face tracking step also comprises the steps of determining different areas of the face by taking the eyes as a reference in the real-time tracking process and tracking in real time;
the step of detecting the temperature measurement area also comprises a step of detecting and adjusting, wherein the forehead position of the human face is determined as the temperature measurement area according to the eyes detected in the step of tracking the human face, and the temperature measurement device is adjusted to measure the temperature of the forehead position of the human face;
and in the detection and adjustment step, at least one of a rotation angle, a scanning distance and a scanning area of the temperature measuring device is adjusted in real time according to the forehead position of the human face.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measurement method based on face recognition,
the detection adjusting step further comprises:
and setting a specific area on a display picture according to the forehead position of the face determined in the face tracking step, and prompting a user to adjust the forehead position to the specific area.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measurement method based on face recognition,
the step of measuring the body temperature further comprises an error elimination step, which eliminates the error of the actual body temperature of the user caused by the high temperature factor or the low temperature factor of the external environment, and comprises the following steps:
acquiring local meteorological temperature information or environmental temperature information of a temperature measuring device;
acquiring the scanning distance obtained in the detection and adjustment step;
and weighting the local meteorological temperature information or the environmental temperature information of the temperature measuring device with the scanning distance, and then adding or subtracting the weighted information with the measured user body temperature to obtain the actual body temperature.
According to one or more embodiments of the present disclosure, a human body temperature measurement method based on face recognition is provided, which is characterized by further comprising:
a recording and prompting step, recording the result of the comparison and judgment step and prompting the result to a user;
the step of comparing and judging also comprises the steps of comparing the obtained human body temperature with a preset temperature value range and with a previous temperature value of a user, and judging whether the abnormality exists or not;
the step of recording and prompting further comprises the step of recording the result of the step of comparing and judging into the user history information and storing the result.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measuring device based on face recognition, including:
the face detection module is used for detecting the face in real time;
the detection temperature measurement area module is used for detecting a temperature measurement area which can measure the temperature in the human face when the effective human face is detected;
the body temperature measuring module is used for measuring the human body temperature of the temperature measuring area;
the comparison and judgment module is used for comparing the obtained human body temperature with a preset temperature value range and with the previous temperature value of the user and judging whether the abnormality exists or not;
and the record prompting module is used for recording the result of the comparison and judgment module into the user history information for storage and prompting the user.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measuring device based on face recognition, which is characterized in that,
the face detection module further comprises a face tracking module for tracking the face detected in real time, comprising:
determining a human body skin color area through analyzing pixels in the real-time image;
detecting whether specific human body features exist in the human body skin color area or not;
and if the specific human body features exist, determining the human body features as effective human faces and tracking the effective human faces in real time.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measuring device based on face recognition, which is characterized in that:
the specific human feature is an eye;
the face tracking module is also used for determining different areas of the face by taking the eyes as a reference in the real-time tracking process and tracking in real time;
the temperature measurement area detection module further comprises a detection adjustment module, and the detection adjustment module is used for determining the forehead position of the human face as the temperature measurement area according to the eyes detected by the human face tracking module, and adjusting the body temperature measurement module to measure the temperature of the forehead position of the human face;
the body temperature adjusting and measuring module is a non-contact infrared temperature measuring device and is used for adjusting at least one of a rotating angle, a scanning distance and a scanning area in real time according to the forehead position of the human face;
or the detection adjusting module is further configured to:
and setting a specific area on a display picture according to the forehead position of the face determined in the face tracking module, and prompting a user to adjust the forehead position to the specific area.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measuring device based on face recognition, including:
the body temperature measuring module also comprises an error eliminating module for eliminating the error of the actual body temperature of the user caused by the high temperature factor or the low temperature factor of the external environment, comprising:
acquiring local meteorological temperature information or environmental temperature information of a temperature measuring device;
acquiring the scanning distance acquired by the detection adjusting module;
and weighting the local meteorological temperature information or the environmental temperature information of the temperature measuring device with the scanning distance, and then adding or subtracting the weighted information with the measured user body temperature to obtain the actual body temperature.
According to one or more embodiments of the present disclosure, there is provided a human body temperature measurement system based on face recognition, including:
the human body temperature measuring device based on the human face recognition as any one of the previous items;
and the server is at least used for storing one of the user identity information and the body temperature information.
According to one or more embodiments of the present disclosure, there is provided a computer device, characterized by comprising a memory in which a computer program is stored and a processor which, when executing the computer program, implements the method according to any one of the above.
According to one or more embodiments of the present disclosure, a computer-readable storage medium is provided, characterized in that a computer program is stored thereon, which, when being executed by a processor, implements the method according to any one of the above.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (13)
1. A human body temperature measurement method based on face recognition is characterized by comprising the following steps:
a human face detection step, namely detecting a human face in real time;
detecting a temperature measuring area, namely detecting the temperature measuring area capable of measuring the temperature in the face when an effective face is detected;
measuring the body temperature, namely measuring the human body temperature of the temperature measuring area by using a temperature measuring device;
and a comparison and judgment step, namely comparing the obtained human body temperature with a preset temperature value range, and judging whether the human body temperature is abnormal or not.
2. The human body temperature measurement method based on face recognition according to claim 1,
the face detection step further comprises a face tracking step of tracking the face detected in real time, and the face detection step comprises the following steps:
determining a human body skin color area through analyzing pixels in the real-time image;
detecting whether specific human body features exist in the human body skin color area or not;
and if the specific human body features exist, determining the human body features as effective human faces and tracking the effective human faces in real time.
3. The human body temperature measurement method based on face recognition according to claim 2,
the specific human feature is an eye;
the face tracking step also comprises the steps of determining different areas of the face by taking the eyes as a reference in the real-time tracking process and tracking in real time;
the step of detecting the temperature measurement area also comprises a step of detecting and adjusting, wherein the forehead position of the human face is determined as the temperature measurement area according to the eyes detected in the step of tracking the human face, and the temperature measurement device is adjusted to measure the temperature of the forehead position of the human face;
and in the detection and adjustment step, at least one of a rotation angle, a scanning distance and a scanning area of the temperature measuring device is adjusted in real time according to the forehead position of the human face.
4. The human body temperature measurement method based on face recognition as claimed in claim 3, wherein the detecting and adjusting step further comprises:
setting a specific area on a display picture according to the forehead position of the face determined in the face tracking step, and prompting a user to adjust the forehead position to the specific area;
in the step of measuring the body temperature, the angle of field of view is not more than 5 degrees.
5. The human body temperature measurement method based on face recognition as claimed in claim 2, wherein the step of measuring the body temperature further comprises an error elimination step of eliminating an error of the actual body temperature of the user caused by a high temperature factor or a low temperature factor of an external environment, comprising:
acquiring local meteorological temperature information or environmental temperature information of a temperature measuring device;
acquiring the scanning distance obtained in the detection and adjustment step;
and weighting the local meteorological temperature information or the environmental temperature information of the temperature measuring device with the scanning distance, and then adding or subtracting the weighted information with the measured user body temperature to obtain the actual body temperature.
6. The human body temperature measurement method based on face recognition as claimed in claim 5, further comprising:
a recording and prompting step, recording the result of the comparison and judgment step and prompting the result to a user;
the step of comparing and judging also comprises the steps of comparing the obtained human body temperature with a preset temperature value range and with a previous temperature value of a user, and judging whether the abnormality exists or not;
the step of recording and prompting further comprises the step of recording the result of the step of comparing and judging into the user history information and storing the result.
7. A human body temperature measuring device based on face recognition is characterized by comprising:
the face detection module is used for detecting the face in real time;
the detection temperature measurement area module is used for detecting a temperature measurement area which can measure the temperature in the human face when the effective human face is detected;
the body temperature measuring module is used for measuring the human body temperature of the temperature measuring area, and the measuring field angle of the body temperature measuring module is not more than 5 degrees;
the comparison and judgment module is used for comparing the obtained human body temperature with a preset temperature value range and with the previous temperature value of the user and judging whether the abnormality exists or not;
and the record prompting module is used for recording the result of the comparison and judgment module into the user history information for storage and prompting the user.
8. The human body temperature measuring device based on the human face recognition as claimed in claim 7,
the face detection module further comprises a face tracking module for tracking the face detected in real time, comprising:
determining a human body skin color area through analyzing pixels in the real-time image;
detecting whether specific human body features exist in the human body skin color area or not;
and if the specific human body features exist, determining the human body features as effective human faces and tracking the effective human faces in real time.
9. The human body temperature measuring device based on the human face recognition as claimed in claim 7,
the specific human feature is an eye;
the face tracking module is also used for determining different areas of the face by taking the eyes as a reference in the real-time tracking process and tracking in real time;
the temperature measurement area detection module further comprises a detection adjustment module, and the detection adjustment module is used for determining the forehead position of the human face as the temperature measurement area according to the eyes detected by the human face tracking module, and adjusting the body temperature measurement module to measure the temperature of the forehead position of the human face;
the body temperature adjusting and measuring module is a non-contact infrared temperature measuring device and is used for adjusting at least one of a rotating angle, a scanning distance and a scanning area in real time according to the forehead position of the human face;
or the detection adjusting module is further configured to:
and setting a specific area on a display picture according to the forehead position of the face determined in the face tracking module, and prompting a user to adjust the forehead position to the specific area.
10. The human body temperature measuring device based on face recognition as claimed in claim 7, wherein the body temperature measuring module further comprises an error elimination module for eliminating the error of the actual body temperature of the user caused by the high temperature factor or the low temperature factor of the external environment, comprising:
acquiring local meteorological temperature information or environmental temperature information of a temperature measuring device;
acquiring the scanning distance acquired by the detection adjusting module;
and weighting the local meteorological temperature information or the environmental temperature information of the temperature measuring device with the scanning distance, and then adding or subtracting the weighted information with the measured user body temperature to obtain the actual body temperature.
11. A human body temperature measurement system based on face recognition comprises:
the human body temperature measuring device based on the human face recognition according to any one of the claims 7-10;
and the server is at least used for storing one of the user identity information and the body temperature information.
12. A computer device comprising a memory having stored therein a computer program and a processor implementing the method of any of claims 1-6 when executing the computer program.
13. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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