CN111539368B - Epidemic prevention detection information integrated identification method and device - Google Patents
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Abstract
The invention provides an epidemic prevention detection information integrated identification method and device for rapidly obtaining and comparing various information of a person to be tested. An epidemic prevention detection information integrated identification method comprises the following main steps: the method comprises the following steps that firstly, a small terminal is adopted to obtain temperature information, face image information and health code information of detected personnel, and then the temperature information, the face image information and the health code information are transmitted to a central control platform; and a second main step, adopting a central control platform to analyze and input the information obtained in the first main step, and comparing the information to judge whether the epidemic prevention state of the checked personnel meets the epidemic prevention and control requirements. The invention can more quickly judge the epidemic prevention state of the person to be detected and achieve quick release, thereby improving the epidemic prevention detection accuracy and detection efficiency.
Description
Technical Field
The present invention relates to epidemic prevention detection methods and apparatuses, and more particularly, to an epidemic prevention detection information integrated identification method and apparatus.
Background
Along with the complicating of epidemic situation prevention and control situation, the demands of fast and accurate face recognition, fast judgment of epidemic prevention state of detected personnel, fast release and the like are higher and higher. In the prior art, face recognition generally only corresponds to the condition of a face without decoration, but during epidemic situation prevention and control, people are required to wear a mask at a dense place, because the mask occupies a large area in a face photo, chin, nose and mouth are wrapped in the mask, and the mask is similar in form and type, in the prior art, the blocked face area is difficult to extract a true and accurate feature description, inaccuracy greatly increases difficulty of the face recognition technology, specifically, when the face recognition is carried out in the prior art, if the mask is taken as decomposition, threshold setting is difficult in original feature recognition, threshold setting is low, most of face recognition is easy to consider the same, and the threshold setting is too high, so that misjudgment is caused by the influence of other factors such as light shadow.
Disclosure of Invention
The invention aims to provide an epidemic prevention detection information integrated identification method for quickly obtaining and comparing various information of a person to be tested, and solves the problems in the background technology.
The invention further aims to provide an epidemic prevention detection information integrated identification device which can quickly acquire and compare various information of the detected personnel.
The technical scheme adopted for solving the technical problems is as follows:
an epidemic prevention detection information integrated identification method comprises the following main steps:
the method comprises the following steps that firstly, a small terminal is adopted to obtain temperature information, face image information and health code information of detected personnel, and then the temperature information, the face image information and the health code information are transmitted to a central control platform;
and a second main step, adopting a central control platform to analyze and input the information obtained in the first main step, and comparing the information to judge whether the epidemic prevention state of the checked personnel meets the epidemic prevention and control requirements.
Preferably, the second main step specifically includes the following sub-steps:
a first sub-step, analyzing and inputting the information obtained in the first main step by adopting a central control platform, judging whether the person to be detected is a first-time person to be detected, if so, executing a second sub-step, otherwise, executing a third sub-step;
a second sub-step of verifying the identity of the first-time testee, if the first-time testee passes the verification, establishing a data set of the first-time testee, and executing a fifth sub-step of judging that the epidemic prevention state of the first-time testee does not meet the epidemic prevention and control requirement if the first-time testee does not pass the verification;
step three, face recognition is carried out on detected personnel, the face vector set obtained through analysis is compared with the mask average face vector set, and a real-time feature vector set Tib is obtained;
a fourth sub-step, comparing the real-time feature vector set Tib with the resolution feature vector set Tia of the corresponding detected personnel stored by the central control platform, if the covariance between the real-time feature vector set Tib and the resolution feature vector set Tia accords with a set threshold, judging that the detected personnel passes the identity recognition verification, otherwise, judging that the epidemic prevention state of the detected personnel does not accord with the epidemic prevention and control requirement;
and fifthly, recording information such as the temperature, health code state, test time and test place of the tested personnel, and completing the integrated identification method of the primary epidemic prevention detection information.
Preferably, in the first main step, the face image information is obtained by adopting a two-step acquisition mode, wherein the first step is to acquire the whole face and quickly classify the types of the mask, and the second step is to aim the focus of the image acquisition area at the centers of the eyes of the face, and the bottom end of the image acquisition area is positioned at the upper edge of the mask.
Preferably, in the second substep, the specific way of verifying the identity of the first subject is that the small terminal transmits the health code information and the collected face image information to the central control platform, and the central control platform applies for and receives the identity recognition information from the identity recognition center.
Preferably, in the third substep, the step of obtaining the mask average face vector set specifically includes the following substeps:
collecting a plurality of forward face vector sets Tn to form a face vector set S, traversing and accumulating the face vector sets S, and then averaging to obtain a normal average face vector set Tz, and drawing a normal average face from the normal average face vector set Tz;
attaching various masks stored in a database to the normal average face to form a complete average face of the mask corresponding to the type of the mask;
and thirdly, taking the center of a connecting line of two eyes in the whole mask average face corresponding to the mask type as a center point, intercepting a rectangular conversion part, wherein the vector set of the conversion part is a mask average face vector set Tmv corresponding to one mask type for each mask type, and m is the mask type.
Preferably, in the third substep, the specific manner of obtaining the real-time feature vector set Tib is that the central control platform performs positioning and scaling with equal proportion by using the face image information of the person to be detected which is collected at the present time, selecting two eyes as a reference, intercepting a rectangular detection part by using the center of a connecting line of the two eyes as a center point, obtaining the rectangular detection part vector set Ti through conversion, and comparing the detection part vector set Ti with the mask average face vector set to obtain the real-time feature vector set Tib of the person to be detected.
Preferably, in the second substep, the specific manner of obtaining the resolved feature vector set Tia is that the central control platform uses the detected person as face image information in the data set when the detected person is the first detected person, selects two eyes as a reference to perform positioning and scaling in equal proportion, uses the center of a connecting line of the two eyes as a center point, intercepts a rectangular detection part, obtains the rectangular detection part vector set Ti through conversion, and compares the detection part vector set Ti with the mask average face vector set to obtain the resolved feature vector set Tia of the detected person.
The utility model provides an epidemic prevention detects information integration recognition device, includes well accuse platform and a plurality of small-size terminal, wired communication connection or wireless communication connection between small-size terminal and the well accuse platform, be equipped with display screen, temperature measuring element and camera on the small-size terminal, temperature measuring element is used for obtaining the temperature information of examining personnel, the camera is used for obtaining the facial image information and the health code information of examining personnel, well accuse platform is used for carrying out the analysis to the information that small-size terminal obtained and typely compares to judge whether the epidemic prevention state of examining personnel accords with epidemic situation prevention and control requirement.
Preferably, the small terminal is further provided with an IC chip card reader for reading identity information of the person to be tested.
The beneficial effects of the invention are as follows:
according to the epidemic prevention detection information integrated recognition method and device, the face image with the mask is collected to serve as the average face of the mask to be compared and the detected person is recognized, compared with the prior art, the image recognition from the nose root to the forehead is more serious, the recognition comparison range is narrowed, the problem that the threshold value is difficult to set in the original feature recognition due to the existence of the mask in the face recognition is solved, the epidemic prevention state of the detected person is judged more rapidly, the rapid release is achieved, and the epidemic prevention detection accuracy and the detection efficiency are improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method implementation of the present invention;
fig. 2 is a schematic diagram of an epidemic prevention detection information integrated recognition device according to the present invention.
In the figure, 1, a central control platform, 2, a small terminal, 3, a display screen, 4, a temperature measuring element, 5, a camera, 6 and an IC chip card reader.
Detailed Description
The technical scheme of the invention is further specifically described below through specific embodiments and with reference to the accompanying drawings. It should be understood that the practice of the invention is not limited to the following examples, but is intended to be within the scope of the invention in any form and/or modification thereof.
The methods in the following examples are conventional in the art unless otherwise specified. The components and devices in the following examples are, unless otherwise indicated, all those components and devices known to those skilled in the art, and their structures and principles are known to those skilled in the art from technical manuals or by routine experimentation.
Examples:
an epidemic prevention detection information integrated identification method, the flow chart of which is shown in figure 1, comprises the following main steps:
the method comprises the following steps that firstly, a small terminal is adopted to obtain temperature information, face image information and health code information of detected personnel, and then the temperature information, the face image information and the health code information are transmitted to a central control platform; the method comprises the steps of acquiring face image information by adopting a two-step acquisition mode, wherein the first step is to acquire the whole face and quickly classify the types of the mask, the second step is to aim the focus of an image acquisition area at the centers of eyes of the face, and the bottom end of the image acquisition area is positioned at the upper edge of the mask;
and a second step 102 of analyzing, inputting and comparing the information obtained in the first step by adopting a central control platform, and judging whether the epidemic prevention state of the checked personnel meets the epidemic prevention and control requirement.
The main step II specifically comprises the following sub-steps:
a first sub-step 201, analyzing and inputting the information obtained in the first main step by adopting a central control platform, judging whether a person to be detected is a first person to be detected, if so, executing a second sub-step, otherwise, executing a third sub-step; when the information of the current detected person is not found and stored in the small terminal, the information is judged to be the first detected person, otherwise, the information is judged to be the multiple detected person; in the step, the small terminal can perform preliminary conversion on the health code information of the detected personnel so as to reduce the information processing burden of the central control platform;
step two, 202, verifying the identity of the first-time testee, if the first-time testee passes the verification, establishing a data set of the first-time testee, and executing a step five, if the first-time testee does not pass the verification, judging that the epidemic prevention state of the first-time testee does not meet the epidemic prevention and control requirement; the specific mode of verifying the identity of the first checked person is that the health code information and the collected face image information are transmitted to the central control platform through the small terminal, and the central control platform applies for and receives the identity identification information from the identity identification center;
step three 203, face recognition is carried out on the detected person, the face vector set obtained through analysis is compared with the mask average face vector set, and a real-time feature vector set Tib is obtained; the specific mode of obtaining the real-time feature vector set Tib is that the central control platform performs positioning and equal-proportion scaling by taking two eyes as reference and taking the center of a connecting line of the two eyes as a center point, intercepts a rectangular detection part, obtains a rectangular detection part vector set T i through conversion, and compares the detection part vector set T i with a mask average face vector set to obtain the real-time feature vector set Tib of the detected person;
step four 204, comparing the real-time feature vector set Tib with the resolution feature vector set Tia of the corresponding detected personnel stored by the central control platform, if the covariance between the real-time feature vector set Tib and the resolution feature vector set Tia accords with a set threshold, judging that the detected personnel passes the identity recognition verification, otherwise, judging that the epidemic prevention state of the detected personnel does not accord with the epidemic prevention and control requirement; the threshold may be set according to actual requirements, and the embodiment of the present invention is not specifically limited;
the specific mode of obtaining the distinguishing feature vector set Tia is that the central control platform takes the detected person as face image information in the data set when the detected person is the first detected person, two eyes are selected as reference to be positioned and scaled in equal proportion, the center of a connecting line of the two eyes is taken as a center point, a rectangular detection part is intercepted, a rectangular detection part vector set t i is obtained through conversion, and the detection part vector set t i is compared with a mask average face vector set to obtain the distinguishing feature vector set Tia of the detected person;
and fifthly, recording information such as the temperature, health code state, test time and test place of the tested personnel, and completing the integrated identification method of the primary epidemic prevention detection information.
In the sub-step three, the obtaining of the mask average face vector set specifically includes the following sub-steps:
step one 301, collecting a plurality of forward face vector sets t n to form a face vector set S, traversing and accumulating the face vector sets S, and then averaging to obtain a normal average face vector set t z, and drawing a normal average face from the normal average face vector set t z;
step two, attaching various masks stored in a database to the normal average face to form a complete average face of the mask corresponding to the mask type;
from step three 303, taking the center of the connecting line of two eyes in the whole mask average face corresponding to the mask type as the center point, intercepting a rectangular conversion part, wherein the vector set of the conversion part is the mask average face vector set T mv corresponding to one mask type for each mask type, and m is the mask type.
Because the mask has limited types and the positions of the eyes in the average face are fixed, the mask can be produced by adopting a mode that the mask patterns with the same proportion are attached at the fixed positions.
The epidemic prevention detection information integrated identification device shown in fig. 2 comprises a central control platform 1 and a plurality of small terminals 2, wherein the small terminals are connected with the central control platform in a wired communication manner or a wireless communication manner, and generally adopt a wireless transmission manner, namely, communication connection is carried out in a manner of independent and mixed communication in the prior art such as WiFi, 4g or 5g, bluetooth and the like.
The small terminal is a mobile phone or a pad type tablet personal computer, the small terminal is provided with a display screen 3, a temperature measuring element 4 and a camera 5, the temperature measuring element adopts an infrared temperature measuring mode and is connected to the mobile phone or the pad type tablet personal computer, the temperature measuring element is used for obtaining temperature information of a person to be detected, and the camera is used for obtaining face image information and health code information of the person to be detected. The small terminal is also provided with an IC chip card reader 6, and the IC chip card reader is used for reading the identity card information, and can directly acquire the identity card information by a camera for analysis and identification as an alternative scheme. Of course, the small terminal device may also include hardware required for other services.
The central control platform is used for analyzing, inputting and comparing information obtained by the small terminal so as to judge whether the epidemic prevention state of the checked personnel meets the epidemic prevention and control requirements. The central control platform is a general purpose computer, a special purpose computer, an embedded processor or other computing device with programmable data processing functions, and the computing device should include at least one Central Processing Unit (CPU), an input/output interface, a network interface, and a memory. Memory includes volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The central control platform can access an internal management system of a using department such as a park, a school, a community, a hospital and the like through a network interface, access a big data management center under the condition of authorization of a third party, and acquire the identity information of the detected personnel under the condition of authorization of a public security department.
The epidemic prevention detection information integrated identification method and the epidemic prevention detection information integrated identification device provided by the invention are described in detail. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (7)
1. An epidemic prevention detection information integrated identification method is characterized in that: the epidemic prevention detection information integrated identification method comprises the following main steps,
the method comprises the following steps that firstly, a small terminal is adopted to obtain temperature information, face image information and health code information of detected personnel, and then the temperature information, the face image information and the health code information are transmitted to a central control platform;
a second main step of analyzing, inputting and comparing the information obtained in the first main step by adopting a central control platform, and judging whether the epidemic prevention state of the checked personnel meets the epidemic situation prevention and control requirement;
the second main step comprises the following auxiliary steps,
a first sub-step of analyzing and inputting the information obtained in the first main step by adopting a central control platform, judging whether the person to be detected is a first-time person to be detected, if so, executing a second step, otherwise, executing a third step;
step two, verifying the identity of the first-time testee, if the first-time testee passes the verification, establishing a data set of the first-time testee, and executing step five, if the first-time testee does not pass the verification, judging that the epidemic prevention state of the first-time testee does not meet the epidemic prevention and control requirement;
step three, face recognition is carried out on detected personnel, the face vector set obtained through analysis is compared with the mask average face vector set, and a real-time feature vector set Tib is obtained;
a fourth sub-step, comparing the real-time feature vector set Tib with the resolution feature vector set Tia of the corresponding detected personnel stored by the central control platform, if the covariance between the real-time feature vector set Tib and the resolution feature vector set Tia accords with a set threshold, judging that the detected personnel passes the identity recognition verification, otherwise, judging that the epidemic prevention state of the detected personnel does not accord with the epidemic prevention and control requirement;
fifthly, recording the temperature, health code state, test time and test place information of the tested personnel, and completing a primary epidemic prevention detection information integrated identification method;
in the third substep, the obtaining of the mask average face vector set specifically includes the following substeps,
collecting a plurality of forward face vector sets Tn to form a face vector set S, traversing and accumulating the face vector sets S, and then averaging to obtain a normal average face vector set Tz, and drawing a normal average face from the normal average face vector set Tz;
attaching various masks stored in a database to the normal average face to form a complete average face of the mask corresponding to the type of the mask;
and thirdly, taking the center of a connecting line of two eyes in the whole mask average face corresponding to the mask type as a center point, intercepting a rectangular conversion part, wherein the vector set of the conversion part is a mask average face vector set Tmv corresponding to one mask type for each mask type, and m is the mask type.
2. The epidemic prevention detection information integrated identification method according to claim 1, wherein the method comprises the following steps: in the first main step, the face image information is acquired by adopting a two-step acquisition mode, the whole face is acquired in the first step, the types of the mask are classified rapidly, the focus of the image acquisition area is aligned with the centers of eyes of the face, and the bottom end of the image acquisition area is positioned at the upper edge of the mask.
3. The epidemic prevention detection information integrated identification method according to claim 1, wherein the method comprises the following steps: in the second substep, the specific mode of verifying the identity of the first checked person is that the health code information and the collected face image information are transmitted to the central control platform through the small terminal, and the central control platform applies for and receives the identity identification information from the identity identification center.
4. The epidemic prevention detection information integrated identification method according to claim 1, wherein the method comprises the following steps: in the third substep, the specific manner of obtaining the real-time feature vector set Tib is that the central control platform performs positioning and scaling in equal proportion by taking two eyes as a reference and taking the center of a connecting line of the two eyes as a center point, intercepts a rectangular detection part, obtains the rectangular detection part vector set Ti through conversion, and compares the detection part vector set Ti with a mask average face vector set to obtain the real-time feature vector set Tib of the detected person.
5. The epidemic prevention detection information integrated identification method according to claim 1, wherein the method comprises the following steps: in the second step, the specific mode of obtaining the resolved feature vector set Tia is that the central control platform uses the detected person as face image information in the data set when the detected person is the first detected person, two eyes are selected as reference to perform positioning and equal proportion scaling, the center of a connecting line of the two eyes is used as a center point, a rectangular detection part is intercepted, a rectangular detection part vector set Ti is obtained through conversion, and the detection part vector set Ti is compared with a mask average face vector set to obtain the resolved feature vector set Tia of the detected person.
6. An epidemic prevention detection information integrated recognition apparatus adopting the epidemic prevention detection information integrated recognition method according to any one of claims 1 to 5, characterized in that: the epidemic prevention detection information integrated identification device comprises a central control platform and a plurality of small terminals, wherein the small terminals are connected with the central control platform in a wired communication mode or a wireless communication mode, a display screen, a temperature measuring element and a camera are arranged on the small terminals, the temperature measuring element is used for obtaining temperature information of detected personnel, the camera is used for obtaining face image information and health code information of the detected personnel, and the central control platform is used for analyzing, inputting and comparing information obtained by the small terminals so as to judge whether epidemic prevention states of the detected personnel meet epidemic prevention and control requirements.
7. The epidemic prevention detection information integrated identification device according to claim 6, wherein: and the small terminal is also provided with an IC chip card reader for reading the identity information of the detected personnel.
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| CN113269913B (en) * | 2021-04-02 | 2023-07-04 | 浙江工商职业技术学院 | Portable multifunctional epidemic prevention detector |
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