CN111855017A - Body temperature detection method, device and equipment based on face recognition and storage medium - Google Patents
Body temperature detection method, device and equipment based on face recognition and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a body temperature detection method based on face recognition, which comprises the following steps: when a face image of a user to be detected is identified, acquiring basic information of the user to be detected according to the face image; packing the face image and the basic information into first data, and sending the first data to a server; detecting the body temperature of a user to be detected to obtain original body temperature data; packaging the original body temperature data into second data; and sending the second data to a server, so that the server fuses the original body temperature data in the second data with the first data to obtain target body temperature data. According to the body temperature detection method based on the face recognition, provided by the embodiment of the invention, the face recognition equipment and the body temperature measurement equipment are combined, so that automatic body temperature detection can be realized, the detection efficiency is improved, the body temperature does not need to be measured manually, and the contact between people is avoided.
Description
Technical Field
The invention relates to the field of computer vision, in particular to a body temperature detection method based on face recognition.
Background
In the early 2020, epidemic prevention and control are mentioned as unprecedented heights along with the outbreak of novel coronavirus pneumonia. Body temperature detection is widely used in various places as a simple and important means for preliminary screening of diseases. However, in places with high personnel density and high mobility, such as hospitals, airports, stations, construction sites and the like, although a large number of face recognition devices are deployed, the face recognition devices basically do not have the function of measuring the body temperature and cannot be used for automatic body temperature detection, and currently, corresponding responsible persons are arranged to perform fixed-point monitoring and measurement is performed by using a traditional non-contact forehead thermometer mode. The traditional body temperature detection mode has the problems of high labor cost, low detection efficiency, easiness in cross propagation, resource waste, incapability of realizing comprehensive analysis statistics and the like.
Disclosure of Invention
The embodiment of the invention provides a body temperature detection method, a body temperature detection device, body temperature detection equipment and a storage medium based on face recognition, which can realize automatic body temperature detection, thereby improving the working efficiency.
In a first aspect, an embodiment of the present invention provides a body temperature detection method based on face recognition, including:
when a face image of a user to be detected is identified, acquiring basic information of the user to be detected according to the face image;
packing the face image and the basic information into first data, and sending the first data to a server;
detecting the body temperature of the user to be detected to obtain original body temperature data;
packaging the original body temperature data into second data;
and sending the second data to the server, so that the server fuses the original body temperature data in the second data with the first data to obtain target body temperature data.
Further, the basic information includes the ID, gender and name of the user to be detected, and the facial image and the basic information are packaged into first data, including:
packing the face image and the basic information into data in a first set format to obtain first data; the first data carries a first device ID and a first timestamp.
Further, the raw body temperature data comprises the second device ID, a second timestamp, and a body temperature value; packaging the original body temperature data into second data, comprising:
and packaging the original body temperature data into data in a second set format to obtain second data.
Further, the step of fusing the original body temperature data in the second data with the first data by the server to obtain target body temperature data includes:
judging whether the first device ID is the same as the second device ID;
if the first time stamp and the second time stamp are the same, judging whether the difference between the first time stamp and the second time stamp is smaller than a set threshold value;
and if the temperature value is smaller than the preset temperature value, adding the body temperature value in the second data to the first data to obtain target body temperature data.
Further, after obtaining the target body temperature data, the method further comprises: and if the body temperature value is within a set threshold range, the user to be detected is normal.
In a second aspect, an embodiment of the present invention further provides a body temperature detection device based on face recognition, including:
the basic information acquisition module is used for acquiring the basic information of the user to be detected according to the face image when the face image of the user to be detected is identified;
the first data packaging module is used for packaging the face image and the basic information into first data and sending the first data to a server;
the body temperature detection module is used for detecting the body temperature of the user to be detected and acquiring original body temperature data;
the second data packaging module is used for packaging the original body temperature data into second data;
and the second data sending module is used for sending the second data to the server so that the server fuses the original body temperature data in the second data with the first data to obtain target body temperature data.
Further, the first data packing module is further configured to: packing the face image and the basic information into data in a first set format to obtain first data; the first data carries a first device ID and a first timestamp.
Further, the second data packaging module is further configured to: and packaging the original body temperature data into data in a second set format to obtain second data.
Further, the apparatus further comprises a server configured to:
judging whether the first device ID is the same as the second device ID;
if the first time stamp and the second time stamp are the same, judging whether the difference between the first time stamp and the second time stamp is smaller than a set threshold value;
and if the temperature value is smaller than the preset temperature value, adding the body temperature value in the second data to the first data to obtain target body temperature data.
In a third aspect, an embodiment of the present invention further provides a body temperature detection system based on face recognition, including: the system comprises face recognition equipment, body temperature detection equipment, an adapter, a server, a local data processing module and a server data processing module;
the starting interface of the body temperature detection device is accessed to the bus interface of the face recognition device through the adapter;
when the face recognition device recognizes a face image of a user to be detected, the adapter starts the body temperature detection device to detect the body temperature of the user to be detected and obtain original body temperature data; the local data processing module is used for packaging the face image and the basic information of the user to be detected into first data and sending the first data to the server; the local data processing module is also used for packaging the original body temperature data into second data and sending the second data to the server; the server data processing module is used for fusing the original body temperature data in the second data with the first data to obtain target body temperature data.
In a fourth aspect, an embodiment of the present invention further provides a body temperature detection device based on face recognition, where the device includes:
the human face recognition-based body temperature detection method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the human face recognition-based body temperature detection method according to any one of the embodiments of the invention.
In a fifth aspect, an embodiment of the present invention further provides a storage medium for body temperature detection based on face recognition, where the storage medium stores a computer program, and the computer program, when executed by a processing device, implements the body temperature detection method based on face recognition according to any one of the embodiments of the present invention.
When the face image of the user to be detected is identified, the basic information of the user to be detected is obtained according to the face image; then packing the face image and the basic information into first data, and sending the first data to a server; detecting the body temperature of the user to be detected to obtain original body temperature data; packaging the original body temperature data into second data; and finally, sending the second data to a server, so that the server fuses the original body temperature data in the second data with the first data to obtain the target body temperature data. According to the body temperature detection method based on the face recognition, provided by the embodiment of the invention, the face recognition equipment and the body temperature measurement equipment are combined, so that automatic body temperature detection can be realized, the detection efficiency is improved, the body temperature does not need to be measured manually, and the contact between people is avoided.
Drawings
Fig. 1 is a flowchart of a body temperature detection method based on face recognition according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a body temperature detection device based on face recognition according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention;
FIG. 4 is a schematic view of a body temperature detecting device according to one embodiment of the present invention;
fig. 5 is a schematic diagram of a body temperature detection device based on face recognition according to a first embodiment of the present invention;
fig. 6 is a schematic view of an application scenario of body temperature detection based on face recognition in an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a body temperature detection method based on face recognition according to an embodiment of the present invention, where the embodiment is applicable to a case of body temperature detection, and the method may be executed by a body temperature detection apparatus based on face recognition, where the apparatus may be composed of hardware and/or software, and may be generally integrated in a device having a body temperature detection function based on face recognition, and the device may be an electronic device such as a server or a server cluster. As shown in fig. 1, the method specifically comprises the following steps:
and 110, when the face image of the user to be detected is identified, acquiring basic information of the user to be detected according to the face image.
The basic information includes, but is not limited to, the ID, gender, and name of the user to be detected.
Specifically, when the body temperature of the user is detected, the face image of the user to be detected may be first identified by the face identification device, and the face image acquired by the face identification device is matched with the face image data in the database, so as to acquire the corresponding basic information of the user to be detected.
And step 120, packaging the face image and the basic information into first data, and sending the first data to a server.
In this embodiment, the way of packing the face image and the basic information into the first data may be: packing the face image and the basic information into data in a first set format to obtain first data; the first data carries a first device ID and a first timestamp.
Specifically, the first data includes, but is not limited to, a first device ID, a first timestamp, and an ID, a gender, a name, and a face image of the user to be detected, and the first setting format may be a JSON format or an XML format. The first device ID is a face recognition device ID for currently recognizing a face image of a user to be detected, and the first timestamp is time for sending the first data. The JSON format is intuitive to display, small in occupied bandwidth and easy to analyze, and typically, the JSON format is adopted for transmission in the embodiment of the invention. The first data may be sent to the server through a network interface of the face recognition device.
And step 130, detecting the body temperature of the user to be detected to obtain original body temperature data.
In this embodiment, the body temperature detection device may adopt an infrared mode and have a network output function. When the body temperature of the user is detected, a detection head of the body temperature detection device is adjusted to be in the face recognition area. Among these, raw body temperature data include, but are not limited to: a second device ID, a second timestamp, and a body temperature value.
Specifically, the second device ID is a body temperature detection device ID currently detecting the body temperature of the user to be detected, that is, a face recognition device ID connected to the body temperature detection device; the second timestamp is a time when the second data is transmitted.
Typically, as shown in fig. 4 and 5, the body temperature detecting device may adopt an infrared temperature measurement mode, may be connected to the face recognition device through an adapter, and is configured with a face recognition device ID connected thereto. The body temperature detection device can use a power system and a network interface of the face recognition device, and a detection point for body temperature detection should be set in a face recognition area. After the first data is sent, the body temperature detection device can be controlled by the adapter to start and measure the body temperature value of the user to be detected, wherein the starting interface of the body temperature detection device is accessed to the bus interface of the face recognition device through the adapter.
And 140, packaging the original body temperature data into second data.
Wherein the second data includes but is not limited to: a second device ID, a second timestamp, and a body temperature value.
In this embodiment, the way of packaging the original body temperature data into the second data may be: and packaging the original body temperature data into data in a second set format to obtain second data.
The second setting format may be the same as the first setting format, and typically, in the embodiment of the present invention, both the second setting format and the first setting format may adopt a JSON format.
And 150, sending the second data to a server, so that the server fuses the original body temperature data in the second data with the first data to obtain target body temperature data.
In this embodiment, the server fuses the original body temperature data in the second data with the first data, and the manner of obtaining the target body temperature data may be: judging whether the first equipment ID is the same as the second equipment ID; if the first time stamp and the second time stamp are the same, judging whether the difference between the first time stamp and the second time stamp is smaller than a set threshold value; and if the temperature value is smaller than the preset temperature value, adding the body temperature value in the second data to the first data to obtain target body temperature data.
Specifically, after receiving the first data and the second data, the server may parse the first data and the second data, obtain a first device ID and a second device ID from the first data and the second data, and determine whether the first device ID and the second device ID are the same. If the first device ID is the same as the second device ID, it may be determined that the first data and the second data originate from the same device, and then it may be determined whether a time difference between the parsed first timestamp and the parsed second timestamp is smaller than a set threshold. The set threshold may be any value between 0.5 and 1s, and if the time difference is smaller than the set threshold, the first data and the second data may be considered to originate from the same body temperature detection, and then the body temperature value analyzed from the second data may be added to the first data, so as to obtain the target body temperature data. The target body temperature data is first data including a body temperature value.
In this embodiment, after the target body temperature data is obtained, it may be determined whether the body temperature value thereof is within a set threshold range, for example, the set threshold range may be a range of a normal body temperature of a human body, i.e., 36.3-37.2 ℃. If the body temperature value of the user to be detected is within the set threshold range, the body temperature of the user can be considered to be normal.
Further, the method in the embodiment can be applied to the scenes such as the station entrance security inspection of the railway station and the like which need to detect the body temperature of the person. Typically, if the body temperature detection result of the user to be detected is normal, the user is allowed to enter the station and wait for the bus; if the body temperature value of the user to be detected is not in the set threshold range, namely the body temperature detection result is abnormal, the user can be prohibited from entering the station, and the target body temperature data is sent to relevant units such as hospitals through the server, so that the user with the abnormal body temperature can take medical assistance and other measures. Specifically, as shown in fig. 6, if a user to be detected arrives at a shooting area of the face recognition device, the face recognition device recognizes a face image of the user to be detected, and then sends the first data to the server through the network. For example, the device ID is 3c68f7c9b7, the first timestamp is 2020-03-0816: 05:43, the name, sex, and ID of the user to be detected are jamaica, girl, and 44023234319990103204, respectively, and the content of the first data is:
the adapter detects the action of identifying the face of the face identification device, sends a signal to start the temperature detection module, and if the body temperature value of the user to be detected is 36.5 ℃ and the second timestamp is 2020-03-0816: 05:43, the content of the second data is as follows:
the server analyzes the first data and the second data, the device ID of the analyzed second data is the same as the device ID of the first data, both the device ID and the device ID are 3c68f7c9b7, and the time difference between the first time stamp and the second time stamp is less than 1s, so that the two times of data are obtained by the same face recognition, namely the data can be fused to obtain target body temperature data:
when the face image of the user to be detected is identified, the embodiment of the invention firstly obtains the basic information of the user to be detected according to the face image; then packing the face image and the basic information into first data, and sending the first data to a server; detecting the body temperature of the user to be detected to obtain original body temperature data; packaging the original body temperature data into second data; and finally, sending the second data to a server, so that the server fuses the original body temperature data in the second data with the first data to obtain the target body temperature data. According to the body temperature detection method based on the face recognition, provided by the embodiment of the invention, the face recognition equipment and the body temperature measurement equipment are combined, so that automatic body temperature detection can be realized, the detection efficiency is improved, the body temperature does not need to be measured manually, and the contact between people is avoided.
Example two
Fig. 2 is a schematic structural diagram of a body temperature detection device based on face recognition according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the basic information acquiring module 210 is configured to acquire basic information of a user to be detected according to a face image when the face image of the user to be detected is identified;
the first data packing module 220 is configured to pack the face image and the basic information into first data, and send the first data to a server;
the body temperature detection module 230 is configured to detect the body temperature of the user to be detected, and obtain original body temperature data;
a second data packing module 240, configured to pack the original body temperature data into second data;
the second data sending module 250 is configured to send the second data to the server, so that the server fuses the original body temperature data in the second data with the first data to obtain target body temperature data.
Optionally, the first data packing module 220 is further configured to: packing the face image and the basic information into data in a first set format to obtain first data; the first data carries a first device ID and a first timestamp.
Optionally, the second data packing module 240 is further configured to: and packaging the original body temperature data into data in a second set format to obtain second data.
Optionally, the apparatus further includes a server, configured to: judging whether the first equipment ID is the same as the second equipment ID; if the first time stamp and the second time stamp are the same, judging whether the difference between the first time stamp and the second time stamp is smaller than a set threshold value; and if the temperature value is smaller than the preset temperature value, adding the body temperature value in the second data to the first data to obtain target body temperature data.
The device can execute the methods provided by all the embodiments of the invention, and has corresponding functional modules and beneficial effects for executing the methods. For details not described in detail in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the present invention.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention. FIG. 3 illustrates a block diagram of a computer device 312 suitable for use in implementing embodiments of the present invention. The computer device 312 shown in FIG. 3 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention. The device 312 is a typical body temperature detection computing device based on face recognition.
As shown in FIG. 3, computer device 312 is in the form of a general purpose computing device. The components of computer device 312 may include, but are not limited to: one or more processors 316, a storage device 328, and a bus 318 that couples the various system components including the storage device 328 and the processors 316.
The computer device 312 may also communicate with one or more external devices 314 (e.g., keyboard, pointing device, camera, display 324, etc.), with one or more devices that enable a user to interact with the computer device 312, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 312 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 322. Also, computer device 312 may communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), and/or a public Network, such as the internet) via Network adapter 320. As shown, network adapter 320 communicates with the other modules of computer device 312 via bus 318. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer device 312, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, disk array (RAID) systems, tape drives, and data backup storage systems, among others.
The processor 316 executes programs stored in the storage device 328 to perform various functional applications and data processing, such as implementing the body temperature detection method based on face recognition provided by the above-described embodiment of the present invention.
Example four
The embodiment of the invention provides a body temperature detection system based on face recognition, which comprises: the system comprises face recognition equipment, body temperature detection equipment, an adapter, a server, a local data processing module and a server data processing module.
The starting interface of the body temperature detection device is connected to the bus interface of the face recognition device through the adapter, and when the face recognition device recognizes a face image of a user to be detected, the adapter starts the body temperature detection device to detect the body temperature of the user to be detected and obtain original body temperature data. The local data processing module is used for packaging the face image and the basic information of the user to be detected into first data and sending the first data to the server; the local data processing module is also used for packaging the original body temperature data into second data and sending the second data to the server. The server data processing module is used for fusing the original body temperature data in the second data with the first data to obtain target body temperature data.
In this embodiment, the power interface of the body temperature measurement module is connected to the power supply of the face recognition router, and the network interface is connected to the network interface of the face recognition device.
EXAMPLE five
Embodiments of the present invention provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processing device, implements a body temperature detection method based on face recognition as in the embodiments of the present invention. The computer readable medium of the present invention described above may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. 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.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a source text input by a user, and translating the source text into a target text corresponding to a target language; acquiring historical correction behaviors of the user; and correcting the target text according to the historical correction behaviors to obtain a translation result, and pushing the translation result to a client where the user is located.
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, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the 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.
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. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A body temperature detection method based on face recognition is characterized by comprising the following steps:
when a face image of a user to be detected is identified, acquiring basic information of the user to be detected according to the face image;
packing the face image and the basic information into first data, and sending the first data to a server;
detecting the body temperature of the user to be detected to obtain original body temperature data;
packaging the original body temperature data into second data;
and sending the second data to the server, so that the server fuses the original body temperature data in the second data with the first data to obtain target body temperature data.
2. The method of claim 1, wherein the basic information comprises an ID, a gender and a name of the user to be detected, and the packing of the face image and the basic information into first data comprises:
packing the face image and the basic information into data in a first set format to obtain first data; the first data carries a first device ID and a first timestamp.
3. The method of claim 2, wherein the raw body temperature data comprises the second device ID, a second timestamp, and a body temperature value; packaging the original body temperature data into second data, comprising:
and packaging the original body temperature data into data in a second set format to obtain second data.
4. The method of claim 3, wherein the server fusing the original body temperature data in the second data with the first data to obtain the target body temperature data comprises:
judging whether the first device ID is the same as the second device ID;
if the first time stamp and the second time stamp are the same, judging whether the difference between the first time stamp and the second time stamp is smaller than a set threshold value;
and if the temperature value is smaller than the preset temperature value, adding the body temperature value in the second data to the first data to obtain target body temperature data.
5. The method of claim 3, further comprising, after obtaining the target body temperature data: and if the body temperature value is within a set threshold range, the user to be detected is normal.
6. A body temperature detection device based on face recognition is characterized by comprising:
the basic information acquisition module is used for acquiring the basic information of the user to be detected according to the face image when the face image of the user to be detected is identified;
the first data packaging module is used for packaging the face image and the basic information into first data and sending the first data to a server;
the body temperature detection module is used for detecting the body temperature of the user to be detected and acquiring original body temperature data;
the second data packaging module is used for packaging the original body temperature data into second data;
and the second data sending module is used for sending the second data to the server so that the server fuses the original body temperature data in the second data with the first data to obtain target body temperature data.
7. The apparatus of claim 6, wherein the basic information comprises ID, gender and name of the user to be detected; the first data packing module is further configured to:
packing the face image and the basic information into data in a first set format to obtain first data; the first data carries a first device ID and a first timestamp.
8. A body temperature detection system based on face recognition is characterized by comprising: the system comprises face recognition equipment, body temperature detection equipment, an adapter, a server, a local data processing module and a server data processing module;
the starting interface of the body temperature detection device is accessed to the bus interface of the face recognition device through the adapter;
when the face recognition device recognizes a face image of a user to be detected, the adapter starts the body temperature detection device to detect the body temperature of the user to be detected and obtain original body temperature data; the local data processing module is used for packaging the face image and the basic information of the user to be detected into first data and sending the first data to the server; the local data processing module is also used for packaging the original body temperature data into second data and sending the second data to the server; the server data processing module is used for fusing the original body temperature data in the second data with the first data to obtain target body temperature data.
9. A computer device, the device comprising: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method for detecting body temperature based on face recognition according to any one of claims 1 to 5 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processing device, implements a body temperature detection method based on face recognition according to any one of claims 1 to 5.
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