CN114143499A - Body temperature detection method in monitoring system and monitoring system - Google Patents
Body temperature detection method in monitoring system and monitoring system Download PDFInfo
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- CN114143499A CN114143499A CN202010813972.8A CN202010813972A CN114143499A CN 114143499 A CN114143499 A CN 114143499A CN 202010813972 A CN202010813972 A CN 202010813972A CN 114143499 A CN114143499 A CN 114143499A
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- 230000036760 body temperature Effects 0.000 title claims abstract description 206
- 238000012544 monitoring process Methods 0.000 title claims abstract description 109
- 238000001514 detection method Methods 0.000 title claims abstract description 65
- 230000002159 abnormal effect Effects 0.000 claims abstract description 116
- 238000012545 processing Methods 0.000 claims abstract description 106
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- 230000003993 interaction Effects 0.000 claims description 21
- 230000001815 facial effect Effects 0.000 claims description 4
- 230000000875 corresponding effect Effects 0.000 description 31
- 230000001960 triggered effect Effects 0.000 description 18
- 230000005856 abnormality Effects 0.000 description 17
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 208000024891 symptom Diseases 0.000 description 7
- 230000002265 prevention Effects 0.000 description 4
- 208000031636 Body Temperature Changes Diseases 0.000 description 3
- 230000002596 correlated effect Effects 0.000 description 3
- 238000013480 data collection Methods 0.000 description 3
- 238000002955 isolation Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 241000700605 Viruses Species 0.000 description 2
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- 206010005908 Body temperature conditions Diseases 0.000 description 1
- 208000035473 Communicable disease Diseases 0.000 description 1
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- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
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Abstract
The application provides a body temperature detection method and a monitoring system in the monitoring system, wherein the method comprises the following steps: the image acquisition equipment in the closed circuit television device in the monitoring system acquires portrait data and body temperature data aiming at people in a monitoring range at a certain frequency; detecting the body temperature data by a data processing device in the monitoring system to determine whether the body temperature data meets the currently set conditions; and an abnormal processing device in the monitoring system performs alarm operation and/or linkage processing operation on the abnormal body temperature data meeting the conditions and the corresponding portrait data. According to the scheme, the body temperature data of people in a monitoring range are collected at a certain frequency based on the image collection equipment of the closed circuit television device in the monitoring system, which extends over the whole monitoring area, so that the body temperature data can be collected at a large range at a high frequency, the condition of false detection and missed detection can be avoided, the collected body temperature data is associated with the portrait data, an abnormal object can be quickly positioned after abnormal temperature data is found, and the abnormal processing efficiency is improved.
Description
Technical Field
The application relates to the technical field of public safety, in particular to a body temperature detection method and a monitoring system in the monitoring system.
Background
In the high-incidence period of the epidemic situation of the fever infectious disease, in order to prevent the spread of the epidemic situation, the most important is to carry out prevention management on healthy people and the like, to find out abnormal people, and once the abnormal people cannot be effectively prevented or controlled, the infection is particularly easily spread in a large range in crowded areas such as large shopping malls or rail transit industries. Therefore, it is very important to quickly and timely monitor the body temperature condition of the present personnel in crowded places.
The existing body temperature detection mode of a place with dense people streams usually needs to carry out one-time detection on all persons in the place at an entrance by manpower or some machines, and the falling behind body temperature detection mode has large workload and is particularly easy to cause the entry of people who miss detection or some people who intentionally hide. Therefore, an effective detection mode and improved detection efficiency are currently urgent needs during epidemic propagation.
Disclosure of Invention
The present application is proposed to solve the above problems. According to an aspect of the present application, there is provided a body temperature detection method in a monitoring system, the method including: acquiring portrait data and body temperature data by image acquisition equipment in a closed circuit television device in the monitoring system at a certain frequency aiming at people in a monitoring range; detecting the body temperature data by a data processing device in the monitoring system to determine whether the body temperature data meets the currently set condition; and carrying out alarm operation and/or linkage processing operation on the abnormal body temperature data meeting the conditions and the corresponding portrait data by an abnormal processing device in the monitoring system.
In one embodiment of the present application, the condition is dynamically configured according to the scene service requirement, and the condition includes an alarm condition and/or a linkage processing condition.
In one embodiment of the present application, the linkage processing operation comprises: and previewing and displaying data acquired by the image acquisition equipment for acquiring the abnormal body temperature data by a monitor in the closed circuit television device, wherein the previewing and displaying comprise the identification of the portrait corresponding to the abnormal body temperature data.
In one embodiment of the present application, the linkage processing operation comprises: and tracking and detecting by image acquisition equipment in the closed circuit television device based on the portrait data corresponding to the abnormal body temperature data, and displaying the real-time position of the abnormal object corresponding to the abnormal body temperature data by the monitor.
In one embodiment of the present application, the linkage processing operation is dynamically configured according to the scene service requirements.
In one embodiment of the present application, before the data processing device detects the body temperature data, the method further comprises: the image acquisition equipment transmits the portrait data and the body temperature data to a server in the closed circuit television device; the server packages the portrait data and the body temperature data and then transmits the portrait data and the body temperature data to a front-end processor in the data processing device; analyzing the packed data by the front-end processor according to the currently set analysis rule, and writing the analyzed data into a real-time database of the data processing device; and the real-time database detects the written data according to the currently set conditions so as to realize the detection of the body temperature data.
In an embodiment of the application, the abnormality processing device includes a manual interaction device, the alarm operation includes outputting alarm information on the manual interaction device, and the alarm information includes voice prompt information and/or data identification prompt information.
In one embodiment of the present application, the portrait data includes facial feature data.
According to another aspect of the present application, there is provided a monitoring system comprising a closed circuit television apparatus, a data processing apparatus and an abnormality processing apparatus, wherein: the image acquisition equipment in the closed circuit television device acquires portrait data and body temperature data aiming at people in a monitoring range at a certain frequency; the data processing device detects the body temperature data to determine whether the body temperature data meets the currently set conditions; and the abnormal processing device carries out alarm operation and/or linkage processing operation on the abnormal body temperature data meeting the conditions and the corresponding portrait data.
In one embodiment of the present application, the condition is dynamically configured according to the scene service requirement, and the condition includes an alarm condition and/or a linkage processing condition.
In one embodiment of the present application, the closed circuit television apparatus further comprises a monitor as part of the abnormality processing apparatus, the linkage processing operation comprising: and the monitor previews data acquired by the image acquisition equipment for acquiring the abnormal body temperature data, wherein the previewing display comprises a portrait mark corresponding to the abnormal body temperature data.
In one embodiment of the present application, the linkage processing operation comprises: and the image acquisition equipment in the closed circuit television device carries out tracking detection based on the portrait data corresponding to the abnormal body temperature data, and the monitor displays the real-time position of the abnormal object corresponding to the abnormal body temperature data.
In one embodiment of the present application, the linkage processing operation is dynamically configured according to the scene service requirements.
In one embodiment of the present application, the closed circuit television apparatus further comprises a server, the data processing apparatus comprises a front end processor and a real time database, wherein: before the data processing device detects the body temperature data, the image acquisition equipment transmits the portrait data and the body temperature data to the server; the server packages the portrait data and the body temperature data and then transmits the portrait data and the body temperature data to the front-end processor; the front-end processor analyzes the packed data according to a currently set analysis rule and writes the analyzed data into the real-time database; and the real-time database detects the written data according to the currently set conditions so as to realize the detection of the body temperature data.
In an embodiment of the application, the abnormality processing device includes a manual interaction device, the alarm operation includes outputting alarm information on the manual interaction device, and the alarm information includes voice prompt information and/or data identification prompt information.
In one embodiment of the present application, the portrait data includes facial feature data.
According to the body temperature detection method and the monitoring system in the monitoring system, the body temperature data of people in the monitoring range are collected at a certain frequency based on the image collection equipment of the closed-circuit television device in the monitoring system, which extends over the whole monitoring area, so that the body temperature data can be collected at a large range and a high frequency, the situations of false detection and missed detection can be avoided, the collected body temperature data is associated with the human image data, an abnormal object can be quickly positioned after abnormal temperature data is found, and the abnormal processing efficiency is improved.
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The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 shows a schematic flow diagram of a method of body temperature detection in a monitoring system according to one embodiment of the present application.
Fig. 2 shows a schematic flow chart of a method of body temperature detection in a monitoring system according to another embodiment of the present application.
FIG. 3 shows a schematic block diagram of a monitoring system according to one embodiment of the present application.
FIG. 4 shows a schematic block diagram of a monitoring system according to another embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments according to the present application will be described in detail below with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the application described in the application without inventive step, shall fall within the scope of protection of the application.
First, a body temperature detection method in a monitoring system according to an embodiment of the present application is described with reference to fig. 1. Fig. 1 shows a schematic flow diagram of a method 100 for body temperature detection in a monitoring system according to an embodiment of the present application. As shown in fig. 1, a body temperature detection method 100 in a monitoring system according to an embodiment of the present application may include the following steps:
in step S110, portrait data and body temperature data are collected at a certain frequency for a person within a monitoring range by an image collecting device in a closed-circuit television apparatus in a monitoring system.
In step S120, the body temperature data is detected by a data processing device in the monitoring system to determine whether the body temperature data meets the currently set condition.
In step S130, an alarm operation and/or a linkage processing operation are performed by the abnormality processing device in the monitoring system for the abnormal body temperature data and the corresponding portrait data that satisfy the condition.
The body temperature detection method according to the embodiment of the application is applied to the monitoring system comprising the closed-circuit television device, and since the image acquisition devices (such as cameras) included in the closed-circuit television device are distributed at (each key position of) the whole monitoring area, for example, for the rail transportation industry, the cameras are distributed at each key position of a large passageway, a platform, a carriage and the like, the body temperature data acquisition of a person based on the image acquisition devices included in the closed-circuit television device can realize the wide-range body temperature data acquisition, and compared with the case of only detecting at an entrance, the body temperature data acquisition in the whole monitoring range can effectively avoid the situations of missed measurement and the situation of intentionally concealing the body temperature. Furthermore, the closed circuit television device based on the image acquisition equipment acquires the body temperature data of a person at a certain frequency, so that the high-frequency body temperature data acquisition can be realized, the body temperature data of the person can be repeatedly acquired at a certain frequency, the real-time tracking of the body temperature data of the person can be realized, once the body temperature changes rapidly, the tracking and monitoring can be realized, compared with the situation of one-time detection at an entrance, the situations of false detection, missed detection and intentional concealment can be avoided, and the epidemic prevention reliability can be greatly improved for the situation that the body temperature symptom does not appear at the entrance detection position but appears after the entrance or the situation that the body temperature symptom does not appear at the previous detection time but appears at the later detection time. Furthermore, the image acquisition equipment in the closed circuit television device is used for acquiring the body temperature data and acquiring the portrait data (such as human face characteristic data), so that the correlation between the body temperature data and the portrait data can be realized, and once abnormal body temperature data occurs, the owner (namely an abnormal object) of the abnormal body temperature data can be quickly positioned according to the corresponding correlated portrait data, so that a worker can quickly find the abnormal object and can prevent epidemic propagation by adopting effective means (such as isolation and the like).
In an embodiment of the present application, the body temperature data collected by the image collecting device in the closed-circuit television apparatus may be detected by the data processing apparatus in the monitoring system according to preset conditions (such as an alarm condition and/or a linkage processing condition) to determine whether to trigger an exception processing apparatus (such as an alarm module and/or a linkage module in a human-computer interaction apparatus) to perform exception processing (such as an alarm operation and/or a linkage processing operation). Once the body temperature data is determined to meet the preset conditions, the abnormality processing device can be triggered to perform abnormality processing.
In an embodiment of the present application, the preset condition may be dynamically configured according to a scene service requirement. For example, the current scene service requirement is for detecting a first disease, and accordingly the abnormal body temperature data should be data above a first threshold, and the alarm condition set under the scene service requirement may be for detecting body temperature data above the first threshold. As another example, the current scene service requirement is for detecting the second disease, and accordingly the abnormal body temperature data should be data higher than the second threshold, and the alarm condition set under the scene service requirement may be that the body temperature data higher than the second threshold is detected. As another example, the current scenario traffic demand is still detecting the first disease, but because of factors such as virus variation, which corresponds to the change in body temperature threshold, the alarm condition set under the scenario demand may be detecting body temperature data above a third threshold, and so on. In other examples, the aforementioned preset conditions, such as alarm conditions, may also be dynamically configured accordingly to other scenario traffic needs. The configuration of the linkage processing conditions is similar, and the linkage processing conditions can be different under different scene business requirements, such as different linkage processing conditions according to different disease severity, different numbers of abnormal objects, and the like, and can be dynamically configured.
In the embodiment of the application, when the data processing device in the monitoring system finds abnormal body temperature data, an abnormal processing device (such as an alarm module and/or a linkage module in a human-computer interaction device of the monitoring system) can be triggered to perform abnormal processing (such as alarm operation and/or linkage processing operation). Illustratively, when an alarm module in the human-computer interaction device is triggered, the alarm module may output alarm information, such as a voice prompt message (e.g., an alarm sound is emitted) and/or a data identification prompt message (e.g., abnormal data is red and flashing) and the like, at the human-computer interaction device.
Illustratively, when the linkage module in the human-computer interaction device is triggered, the linkage module may trigger a monitor of the closed circuit device (the monitor may be a part of the abnormality processing device at this time) to perform preview display on data collected by an image collecting device collecting the abnormal body temperature data, where the preview display includes an identifier of a portrait corresponding to the abnormal body temperature data. For example, if the data processing device determines that the body temperature data acquired by the first image acquisition device is abnormal body temperature data, the monitor of the closed circuit device can be triggered by the linkage module to preview the data (such as picture data) acquired by the first image acquisition device in real time, and based on the portrait identifier in the real-time preview, an abnormal object corresponding to the abnormal body temperature data can be quickly determined, and meanwhile, the surrounding situation of the abnormal object can also be determined (for example, whether the abnormal object is in close contact with other people or not, so as to determine whether other people need to be isolated or not).
Further, when a linkage module in the man-machine interaction device is triggered, the linkage module can also trigger the image acquisition equipment of the closed circuit device to perform tracking detection based on portrait data corresponding to abnormal body temperature data, and the monitor displays the real-time position of the abnormal object corresponding to the abnormal body temperature data so as to position the abnormal object corresponding to the abnormal body temperature data in real time, so that the abnormal object is prevented from being 'lost' due to the movement of the abnormal object, and the reliability of abnormal processing can be further improved.
The linkage processing operation described above is only exemplary, and in the embodiment of the present application, the linkage processing operation may also be dynamically configured according to the scene service requirement. For example, different operations are triggered to be executed by the same device according to different scene service requirements, or different operations are triggered to be executed by different devices, and so on.
Based on the above description, the body temperature detection method in the monitoring system according to the embodiment of the present application collects the body temperature data of the person in the monitoring range at a certain frequency based on the image collection devices of the closed-circuit television devices in the monitoring system, which are located throughout the whole monitoring area, so as to realize the large-range and high-frequency collection of the body temperature data, which can avoid the situations of false detection and missed detection, and the collected body temperature data is associated with the human image data, which can quickly locate the abnormal object after finding the abnormal temperature data, thereby improving the efficiency of processing the abnormality.
A method of body temperature detection in a monitoring system according to another embodiment of the present application is described below with reference to fig. 2. Fig. 2 shows a schematic flow diagram of a method 200 of body temperature detection in a monitoring system according to another embodiment of the present application. As shown in fig. 2, a method 200 for detecting body temperature in a monitoring system according to an embodiment of the present application may include the following steps:
in step S210, portrait data and body temperature data are collected at a certain frequency for a person within a monitoring range by an image collecting device in a closed-circuit television apparatus in a monitoring system.
In step S220, the image capturing device transmits the portrait data and the body temperature data to a server in the closed-circuit television apparatus.
In step S230, the server packages the portrait data and the body temperature data and transmits the packaged portrait data and body temperature data to a front-end processor in the data processing device.
In step S240, the front-end processor parses the packed data according to the currently set parsing rule, and writes the parsed data into the real-time database of the data processing apparatus.
In step S250, the real-time database detects the written data according to the currently set condition to determine whether the body temperature data meets the currently set condition.
In step S260, an abnormal body temperature data satisfying the condition and a corresponding portrait data are subjected to an alarm operation and/or a linkage processing operation by an abnormal processing device in the monitoring system.
The body temperature detection method 200 in the monitoring system described in this application in conjunction with fig. 2 is similar to the body temperature detection method 100 in the monitoring system described in this application in conjunction with fig. 1, except that the body temperature detection method 200 in the monitoring system further includes steps such as data packing, transmission, parsing, and the like, which are more advantageous for the deployment of each device in the monitoring system. For brevity, only the different steps of the body temperature detection method 200 in the monitoring system and the body temperature detection method 100 in the system are described herein, and the rest of the similar steps are not described again.
In the embodiment of the application, the server of the closed-circuit television device firstly performs uniform processing and packaging on the data (including the portrait data and the body temperature data) from each image acquisition device so as to be convenient for transmitting the data to the data processing device of the monitoring system. In an embodiment of the present application, the data processing device of the monitoring system may further include a front-end processor and a real-time database, wherein the front-end processor receives the packed data transmitted by the server of the cctv device, and analyzes the packed data according to an analysis rule formulated by the point table to obtain the analyzed data, and writes the analyzed data into the real-time database. The real-time database checks and matches the data reported and written by the front-end processor according to the currently set conditions (such as the alarm conditions set by the alarm module in the exception handling device and/or the linkage conditions set by the linkage module in the exception handling device), and triggers the exception handling device to perform corresponding alarm operation and/or linkage handling operation on the matched data points, so that the staff can timely and properly handle the exception object.
The above exemplarily illustrates a body temperature detection method in a monitoring system according to an embodiment of the present application. In an embodiment of the present application, the body temperature detection method in the monitoring system may be only one mode (for example, referred to as an epidemic situation mode) in the monitoring system, that is, the monitoring system may also adopt other modes in other scenes, such as not adopting the epidemic situation mode described above but adopting other suitable modes for monitoring when not in an epidemic situation.
A monitoring system provided according to another aspect of the present application, which can be used to perform the above-described body temperature detection method in the monitoring system according to the embodiment of the present application, is described below with reference to fig. 3 to 4.
FIG. 3 shows a schematic block diagram of a monitoring system 300 according to one embodiment of the present application. As shown in fig. 3, the monitoring system 300 may include a closed circuit television apparatus 310, a data processing apparatus 320, and an exception handling apparatus 330, wherein: the image acquisition equipment in the closed circuit television set 310 acquires portrait data and body temperature data for a person within a monitoring range at a certain frequency. The data processing device 320 detects the body temperature data to determine whether the body temperature data meets the currently set condition. The abnormality processing device 330 performs an alarm operation and/or a linkage processing operation on the abnormal body temperature data and the corresponding portrait data satisfying the conditions.
The monitoring system according to the embodiment of the present application can be used for body temperature detection during epidemic situations, since the image collecting devices (such as cameras) included in the closed-circuit television apparatus 310 are distributed at (key positions of) the whole monitoring area, for example, for rail transportation industry, the cameras are distributed at key positions of each large passageway, platform, carriage, etc., the body temperature data collection of people based on the image collecting devices included in the closed-circuit television apparatus 310 can realize the wide-range body temperature data collection, and compared with the case of only detecting at an entrance, the body temperature data collection in the whole monitoring range can effectively avoid the situations of missing detection and intentionally concealing the body temperature. Further, the image acquisition device included in the closed-circuit television device 310 acquires the body temperature data of the person at a certain frequency, so that the body temperature data of the person can be acquired at a high frequency, the body temperature data of the person can be repeatedly acquired at a certain frequency, real-time tracking of the body temperature data of the person can be realized, once the body temperature changes rapidly, tracking and monitoring can be realized, and compared with the situation that detection is performed at an entrance once, the situation that detection is missed and intentionally concealed can be avoided, and the situation that body temperature symptoms do not appear at the entrance detection position but appear after entrance or the situation that body temperature symptoms do not appear at the entrance detection position before or appear at the future detection time can be monitored in time, so that the epidemic prevention reliability can be greatly improved. Further, the image acquisition device in the closed circuit television apparatus 310 is used for acquiring the body temperature data and simultaneously acquiring the portrait data (such as the face feature data), so that the correlation between the body temperature data and the portrait data can be realized, and once abnormal body temperature data occurs, the owner (namely, an abnormal object) of the abnormal body temperature data can be quickly positioned according to the corresponding correlated portrait data, so that a worker can quickly find the abnormal object and can prevent epidemic propagation by adopting effective means (such as isolation and the like).
In an embodiment of the present application, the data processing device 320 in the monitoring system 300 can detect the body temperature data collected by the image collecting apparatus in the closed-circuit television apparatus 310 according to preset conditions (such as an alarm condition and/or a linkage processing condition) to determine whether to trigger the abnormality processing device 330 (such as an alarm module and/or a linkage module in the human-computer interaction device) to perform abnormality processing (such as an alarm operation and/or a linkage processing operation). Once it is determined that the body temperature data meets the preset conditions, the exception handling device 330 may be triggered to perform exception handling.
In an embodiment of the present application, the preset condition may be dynamically configured according to a scene service requirement. For example, the current scene service requirement is for detecting a first disease, and accordingly the abnormal body temperature data should be data above a first threshold, and the alarm condition set under the scene service requirement may be for detecting body temperature data above the first threshold. As another example, the current scene service requirement is for detecting the second disease, and accordingly the abnormal body temperature data should be data higher than the second threshold, and the alarm condition set under the scene service requirement may be that the body temperature data higher than the second threshold is detected. As another example, the current scenario traffic demand is still detecting the first disease, but because of factors such as virus variation, which corresponds to the change in body temperature threshold, the alarm condition set under the scenario demand may be detecting body temperature data above a third threshold, and so on. In other examples, the aforementioned preset conditions, such as alarm conditions, may also be dynamically configured accordingly to other scenario traffic needs. The configuration of the linkage processing conditions is similar, and the linkage processing conditions can be different under different scene business requirements, such as different linkage processing conditions according to different disease severity, different numbers of abnormal objects, and the like, and can be dynamically configured.
In an embodiment of the present application, when the data processing device 320 in the monitoring system 300 finds abnormal body temperature data, the abnormality processing device 330 (such as an alarm module and/or a linkage module in a human-computer interaction device of the monitoring system) may be triggered to perform abnormality processing (such as an alarm operation and/or a linkage processing operation). Illustratively, when an alarm module in the human-computer interaction device is triggered, the alarm module may output alarm information, such as a voice prompt message (e.g., an alarm sound is emitted) and/or a data identification prompt message (e.g., abnormal data is red and flashing) and the like, at the human-computer interaction device.
Illustratively, when the linkage module in the human-computer interaction device is triggered, the linkage module may trigger a monitor (which may be a part of the abnormality processing device) of the closed circuit device 310 to perform a preview display of data collected by an image collecting apparatus that collects the abnormal body temperature data, where the preview display includes an identifier of a portrait corresponding to the abnormal body temperature data. For example, if the data processing device 320 determines that the body temperature data acquired by the first image acquisition device is abnormal body temperature data, the monitor of the closed circuit device 310 may be triggered via the linkage module to perform real-time preview on the data (such as picture data) acquired by the first image acquisition device, and based on the portrait identifier in the real-time preview, an abnormal object corresponding to the abnormal body temperature data may be quickly determined, and meanwhile, the surrounding situation of the abnormal object may also be determined (for example, whether the abnormal object is in close contact with another person, so as to determine whether another person needs to be isolated, etc.).
Further, when a linkage module in the man-machine interaction device is triggered, the linkage module can also trigger the image acquisition equipment of the closed circuit device to perform tracking detection based on portrait data corresponding to abnormal body temperature data, and the monitor displays the real-time position of the abnormal object corresponding to the abnormal body temperature data so as to position the abnormal object corresponding to the abnormal body temperature data in real time, so that the abnormal object is prevented from being 'lost' due to the movement of the abnormal object, and the reliability of abnormal processing can be further improved.
The linkage processing operation described above is only exemplary, and in the embodiment of the present application, the linkage processing operation may also be dynamically configured according to the scene service requirement. For example, different operations are triggered to be executed by the same device according to different scene service requirements, or different operations are triggered to be executed by different devices, and so on.
Based on the above description, the monitoring system according to the embodiment of the present application collects the body temperature data of the person in the monitoring range at a certain frequency based on the image collection devices of the closed-circuit television devices distributed throughout the whole monitoring area, so as to collect the body temperature data at a large range and a high frequency, avoid the situations of erroneous measurement and missed measurement, and associate the collected body temperature data with the portrait data, so as to quickly locate the abnormal object after finding the abnormal temperature data, thereby improving the efficiency of processing the abnormality.
FIG. 4 shows a schematic block diagram of a monitoring system 400 according to another embodiment of the present application. As shown in fig. 4, the monitoring system 400 includes a closed-circuit television apparatus including an image acquisition device 410, a server 420 and a monitor 430, a data processing apparatus including a front-end processor 440 and a real-time database 450, and an exception handling apparatus including a human-computer interaction apparatus including an alarm module 460, a linkage module 470 and a monitor 430. The number of the image capturing devices 410 is plural, and the image capturing devices cover a set monitoring area of the monitoring system, capture portrait data and body temperature data for people in the monitoring area at a certain frequency, and transmit the portrait data and the body temperature data to the server 420. The server 420 packages the portrait data and the body temperature data and transmits the packaged portrait data and body temperature data to the front-end processor 440. The front-end processor 440 parses the packed data according to the currently set parsing rule, and writes the parsed data into the real-time database 450. The real-time database 450 checks the written data according to the currently set condition to determine whether the body temperature data satisfies the currently set condition, and once the condition is satisfied, triggers at least one of the alarm module 460, the linkage module 470 and the monitor 430 to perform an abnormal processing operation.
In the embodiment of the present application, since the image capturing devices 410 (such as cameras) are distributed over (key positions of) the whole monitoring area, for example, for rail transportation industry, the cameras are distributed over key positions of various large passages, platforms, carriages, etc.), the capturing of the body temperature data of the person based on the image capturing devices 410 can realize the large-scale body temperature data capturing, and compared with the case of only detecting at an entrance, the capturing of the body temperature data in the whole monitoring area can effectively avoid the situations of missed detection and the situation of intentionally concealing the body temperature. Further, the body temperature data of the person is collected at a certain frequency based on the image collecting device 410, so that the body temperature data of the person can be collected at a high frequency, the body temperature data of the person can be tracked in real time by repeatedly collecting the body temperature data at a certain frequency, once the body temperature changes rapidly, the body temperature data can be tracked and monitored, and compared with the situation that the body temperature data is detected at an entrance once, the situations that the body temperature data is missed and intentionally concealed can be avoided, and for the situation that the body temperature symptom does not appear at the entrance detection position but appears after the entrance or the situation that the body temperature symptom does not appear at the entrance in the prior detection or the body temperature symptom does not appear at the prior detection but appears at the later detection, the epidemic prevention reliability can be greatly improved by timely monitoring. Further, the image acquisition device 410 is used for acquiring the body temperature data and acquiring the portrait data (such as the face feature data), so that the correlation between the body temperature data and the portrait data can be realized, and once abnormal body temperature data occurs, the owner (namely, an abnormal object) of the abnormal body temperature data can be quickly positioned according to the corresponding correlated portrait data, so that a worker can quickly find the abnormal object and can prevent epidemic propagation by adopting effective means (such as isolation and the like).
In an embodiment of the present application, the server 420 uniformly processes and packages the data (including the portrait data and the body temperature data) from the image capture devices 410 for transmission to the front-end processor 440. The front-end processor 440 receives the packed data transmitted from the server 420, and analyzes the packed data according to the analysis rule formulated by the point table to obtain the analyzed data, and writes the analyzed data into the real-time database 450. The real-time database 450 checks and matches the data reported and written by the front-end processor 440 according to the currently set conditions (e.g., the alarm condition set by the alarm module 460 and/or the linkage condition set by the linkage module 470), and triggers the alarm module 460 to perform corresponding alarm operation and/or triggers the linkage module 470 to perform linkage processing operation on the matched data points, so that the worker can perform appropriate processing on the abnormal object in time.
Illustratively, when the linkage module 470 is triggered, the linkage module 470 may trigger the monitor 430 of the closed circuit device to perform a preview display on the data collected by the image collecting apparatus 410 for collecting the abnormal body temperature data, where the preview display includes an identifier of a portrait corresponding to the abnormal body temperature data, which may quickly determine an abnormal object corresponding to the abnormal body temperature data, and may also determine a surrounding situation of the abnormal object (e.g., whether the abnormal object is in close contact with another person, so as to determine whether another person needs to be isolated, etc.).
Further, when the linkage module 470 is triggered, the linkage module 470 may further trigger the image capturing device 410 to perform tracking detection based on the portrait data corresponding to the abnormal body temperature data, and the monitor 430 displays the real-time location of the abnormal object corresponding to the abnormal body temperature data, so as to perform real-time positioning on the abnormal object corresponding to the abnormal body temperature data, thereby preventing the abnormal object from being "lost" due to the movement of the abnormal object, which may further improve the reliability of the abnormal processing.
The above exemplary embodiments show that the body temperature detection method and the monitoring system in the monitoring system according to the embodiments of the present application acquire body temperature data of a person in a monitoring range at a certain frequency based on image acquisition devices of the closed-circuit television devices in the monitoring system, which are located throughout the entire monitoring area, thereby realizing large-range and high-frequency body temperature data acquisition, avoiding false detection and missed detection, and enabling the acquired body temperature data to be associated with the human image data, thereby being capable of quickly locating an abnormal object after finding abnormal temperature data, and improving the efficiency of processing an abnormality.
Although the example embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the above-described example embodiments are merely illustrative and are not intended to limit the scope of the present application thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present application. All such changes and modifications are intended to be included within the scope of the present application as claimed in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the description of exemplary embodiments of the present application, various features of the present application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present application should not be construed to reflect the intent: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules according to embodiments of the present application. The present application may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above description is only for the specific embodiments of the present application or the description thereof, and the protection scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope disclosed in the present application, and shall be covered by the protection scope of the present application. The protection scope of the present application shall be subject to the protection scope of the claims.
Claims (16)
1. A method of body temperature detection in a monitoring system, the method comprising:
acquiring portrait data and body temperature data by image acquisition equipment in a closed circuit television device in the monitoring system at a certain frequency aiming at people in a monitoring range;
detecting the body temperature data by a data processing device in the monitoring system to determine whether the body temperature data meets the currently set condition;
and carrying out alarm operation and/or linkage processing operation on the abnormal body temperature data meeting the conditions and the corresponding portrait data by an abnormal processing device in the monitoring system.
2. The method of claim 1, wherein the condition is dynamically configured according to a scene service requirement, and wherein the condition comprises an alarm condition and/or a linkage processing condition.
3. The method of claim 1, wherein the linkage processing operation comprises: and previewing and displaying data acquired by the image acquisition equipment for acquiring the abnormal body temperature data by a monitor in the closed circuit television device, wherein the previewing and displaying comprise the identification of the portrait corresponding to the abnormal body temperature data.
4. The method of claim 3, wherein the linkage processing operation comprises: and tracking and detecting by image acquisition equipment in the closed circuit television device based on the portrait data corresponding to the abnormal body temperature data, and displaying the real-time position of the abnormal object corresponding to the abnormal body temperature data by the monitor.
5. The method of claim 1, wherein the linkage processing operation is dynamically configured according to scene business requirements.
6. The method of claim 1, wherein prior to the data processing device detecting the body temperature data, the method further comprises:
the image acquisition equipment transmits the portrait data and the body temperature data to a server in the closed circuit television device;
the server packages the portrait data and the body temperature data and then transmits the portrait data and the body temperature data to a front-end processor in the data processing device;
analyzing the packed data by the front-end processor according to the currently set analysis rule, and writing the analyzed data into a real-time database of the data processing device;
and the real-time database detects the written data according to the currently set conditions so as to realize the detection of the body temperature data.
7. The method of claim 1, wherein the anomaly handling device comprises a human interaction device, and wherein the alarm operation comprises outputting alarm information on the human interaction device, the alarm information comprising voice prompt information and/or data identification prompt information.
8. The method of claim 1, wherein the portrait data comprises facial feature data.
9. A monitoring system, comprising a closed circuit television apparatus, a data processing apparatus and an exception handling apparatus, wherein:
the image acquisition equipment in the closed circuit television device acquires portrait data and body temperature data aiming at people in a monitoring range at a certain frequency;
the data processing device detects the body temperature data to determine whether the body temperature data meets the currently set conditions;
and the abnormal processing device carries out alarm operation and/or linkage processing operation on the abnormal body temperature data meeting the conditions and the corresponding portrait data.
10. The monitoring system of claim 9, wherein the conditions are dynamically configured according to scene traffic requirements, and wherein the conditions include alarm conditions and/or coordinated processing conditions.
11. The monitoring system of claim 9, wherein the closed circuit television apparatus further comprises a monitor as part of the exception handling apparatus, the coordinated processing operation comprising: and previewing and displaying data acquired by the image acquisition equipment for acquiring the abnormal body temperature data by the monitor.
12. The monitoring system of claim 11, wherein the closed circuit television apparatus further comprises a processor that identifies a portrait corresponding to the abnormal body temperature data in the preview display based on the portrait data corresponding to the abnormal body temperature data.
13. The monitoring system of claim 9, wherein the linkage processing operation is dynamically configured according to a scenario business requirement.
14. The monitoring system of claim 9, wherein the closed circuit television apparatus further comprises a server, the data processing apparatus comprises a front end processor and a real time database, wherein:
before the data processing device detects the body temperature data, the image acquisition equipment transmits the portrait data and the body temperature data to the server;
the server packages the portrait data and the body temperature data and then transmits the portrait data and the body temperature data to the front-end processor;
the front-end processor analyzes the packed data according to a currently set analysis rule and writes the analyzed data into the real-time database;
and the real-time database detects the written data according to the currently set conditions so as to realize the detection of the body temperature data.
15. The monitoring system of claim 9, wherein the anomaly handling device comprises a human interaction device, and the alarm operation comprises outputting alarm information on the human interaction device, the alarm information comprising voice prompt information and/or data identification prompt information.
16. The monitoring system of claim 9, wherein the portrait data includes facial feature data.
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