CN114088207A - Temperature detection method and system - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
- G01J5/0025—Living bodies
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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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
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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Abstract
The present disclosure provides a temperature detection method, including: acquiring an object image of an object to be detected by using a shooting module; when the object to be detected is located in the acquisition range of the infrared module, acquiring infrared rays emitted by a target area of the object to be detected by using the infrared module to obtain a thermal image of the target area; determining the temperature of the object to be measured according to the thermal image; and adding the temperature of the object to be detected to the object image to obtain a display image, wherein the target area comprises a target part of the object to be detected.
Description
Technical Field
The present disclosure relates to the field of infrared detection and the field of image processing, and more particularly, to a temperature detection method and system.
Background
In order to control the spread of influenza with strong infectivity, body temperature screening is a powerful means for screening and examining suspicious cases, and for various industrial fields, temperature detection of devices is an essential link in product research and development.
In the course of implementing the disclosed concept, the inventors found that there are at least the following technical problems in the prior art: although the infrared temperature measurement system can realize remote temperature detection, the infrared temperature measurement in the related art adopts an infrared imaging component provided with a large-scale infrared sensor array (for example, 640 × 480), so that the infrared temperature measurement range can cover most parts of an object to be detected (for example, a human body), and the temperature distribution of the object to be detected is obtained through detection. However, the infrared imaging component has a large-scale infrared sensor array, so that the infrared imaging component is expensive and is not easy to popularize in a large range.
Disclosure of Invention
In view of the above, the present disclosure provides a temperature detection method and apparatus that facilitates temperature detection using a low-cost system.
One aspect of the present disclosure provides a temperature detection method, including: acquiring an object image of an object to be detected by using a shooting module; when the object to be detected is positioned in the acquisition range of the infrared module, acquiring a thermal image of a target area of the object to be detected by using the infrared module; and determining the temperature of the object to be measured according to the thermal image, wherein the target area comprises a target part of the object to be measured.
According to this disclosed embodiment, utilize infrared module to gather the thermal image in the target area of the object that awaits measuring and include: determining the spatial position of the target part according to the object image; determining an adjustment parameter of the infrared module according to the spatial position of the target part; adjusting the infrared module according to the adjustment parameters so that the acquisition range of the infrared module comprises a target part; and acquiring infrared rays emitted by the object to be detected within the acquisition range of the infrared module by using the infrared module to obtain a thermal image of the target area.
According to an embodiment of the present disclosure, determining the spatial position of the target portion from the object image includes: determining a target object in the at least two objects to be detected under the condition that the object image comprises the at least two objects to be detected; determining the position information of a target part in the object image, wherein the target part is included in the target object, according to the characteristic information of the target part; and determining the spatial position of the target part according to the position information.
According to an embodiment of the present disclosure, determining the temperature of the object to be measured includes: determining an image area aiming at the target part in the thermal image according to the object image and the characteristic information of the target part; and smoothing the temperature data indicated by the image area to obtain the temperature of the object to be measured.
According to an embodiment of the present disclosure, an infrared module includes a sensor array composed of a plurality of infrared sensors; smoothing the temperature data indicated by the image area includes: dividing an image area into at least two sub-areas according to the acquisition ranges of the infrared sensors, wherein each sub-area of the at least two sub-areas corresponds to one infrared sensor of the infrared sensors, and each sub-area corresponds to one sub-part of the target part; according to the position of the sub-part corresponding to each sub-region in the target part, distributing weight to each sub-region; and determining the temperature of the object to be measured according to the weight distributed by each sub-area and the temperature data indicated by each sub-area.
According to an embodiment of the present disclosure, determining an image region in the thermal image for the target site comprises: determining a target image area corresponding to the target part in the object image according to the characteristic information of the target part; and determining an image area in the thermal image for the target part according to the corresponding relation between the object image and the thermal image.
According to an embodiment of the present disclosure, the temperature detection method further includes: according to the relative position between shooting module and the infrared module, confirm the detection area in the physical space, wherein, when the object that awaits measuring is located detection area, the object that awaits measuring is located the acquisition within range of infrared module.
According to an embodiment of the present disclosure, the temperature detection method further includes: adding the temperature of the object to be measured on the object image to obtain a display image; and displaying the display image with the display.
Another aspect of the present disclosure provides a temperature detection system, including: the shooting module is used for collecting an object image of an object to be detected; the infrared module is used for acquiring infrared rays emitted by a target area of the object to be detected by using the infrared module when the object to be detected is positioned in the acquisition range of the infrared module, so as to obtain a thermal image of the target area; and a processor for determining the temperature of the object to be measured from the thermal image, wherein the target region comprises a target portion of the object to be measured.
According to an embodiment of the disclosure, a processor is configured to: determining the spatial position of the target part according to the object image; determining an adjustment parameter of the infrared module according to the spatial position of the target part; the temperature detection system also comprises an adjusting module used for adjusting the infrared module according to the adjusting parameters so that the acquisition range of the infrared module comprises a target part; the infrared module is used for collecting infrared rays emitted by an object to be detected in the collection range of the infrared module to obtain a thermal image of a target area.
According to an embodiment of the present disclosure, an infrared module includes a sensor array composed of a plurality of infrared sensors; and/or the processor is further configured to add the temperature of the object to be measured to the object image to obtain a display image; the temperature detection system further comprises a display for displaying the display image.
According to the embodiment of the disclosure, the technical problem of high temperature measurement cost caused by the adoption of an infrared imaging component in the related art can be at least partially solved. The embodiment of the disclosure collects the object image according to the shooting module, collects the thermal image of the local area of the object to be detected including the target part by adopting the infrared module, and finally determines the temperature of the object to be detected according to the thermal image of the local area. The whole process does not need to carry out thermal image acquisition on the whole object of the object to be measured, so that a high-density infrared sensor array is not needed, the temperature measurement cost can be at least partially reduced, and the popularization of the temperature measurement method is improved.
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The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:
FIG. 1 schematically illustrates an application scenario of a temperature detection method and system according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a block diagram of a temperature detection system according to an embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow chart of a temperature detection method according to an embodiment of the present disclosure;
FIG. 4 schematically illustrates a block diagram of a temperature detection system according to another embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart for obtaining a thermal image of a target area according to an embodiment of the present disclosure;
FIG. 6 schematically illustrates a flow chart for determining a temperature of an object under test according to an embodiment of the present disclosure;
FIG. 7 schematically illustrates a schematic diagram of the principle of determining the temperature of an object under test; and
FIG. 8 schematically illustrates a block diagram of a computer system adapted to determine a temperature of an object under test from an image of the object and a thermal image according to an embodiment of the disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
An embodiment of the present disclosure provides a temperature detection method, including: acquiring an object image of an object to be detected by using a shooting module; when the object to be detected is positioned in the acquisition range of the infrared module, acquiring a thermal image of a target area of the object to be detected by using the infrared module; and determining the temperature of the object to be measured according to the thermal image, wherein the target area comprises a target part of the object to be measured.
Fig. 1 schematically illustrates an application scenario of the temperature detection method and apparatus according to the embodiment of the present disclosure. It should be noted that fig. 1 is only an example of an application scenario in which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1, the application scenario 100 according to this embodiment may include a terminal device 101, an imaging module 102, and a user under test 103.
The terminal device 101 may have installed thereon, for example, various communication client applications, such as an image processing application, an audio playing application, a device control application, and the like (for example only).
According to the embodiment of the present disclosure, the terminal device 101 may be connected to the imaging module 102, for example, and is configured to acquire an image of the user 103 to be tested within an acquisition range acquired by the imaging module 102, where the image includes a captured object image and a thermal image of the object. The terminal device 101 may also obtain temperature data of the user 103 to be measured, for example, from the thermal image. The temperature data may be, for example, body temperature.
For example, the terminal device 101 may further process the object image according to the obtained temperature data to obtain a presentation image 104 including the temperature data, where the presentation image 104 may include, for example, a thermal image and temperature data of the user 103 to be measured. In one embodiment, the temperature data may be, for example, 36, 5 ℃.
According to the embodiment of the disclosure, in order to reduce the cost of obtaining the temperature data, the imaging module 102 in the application scene may be composed of, for example, a shooting module and an infrared module, which are independently arranged. The shooting module is used for shooting object images, and the infrared module is used for collecting thermal images of target parts of the users to be detected 103. The target site may be, for example, a head, a forehead, a wrist, or the like. Correspondingly, the terminal device 101 may be further configured to determine the position information of the target portion of the user 103 to be measured according to an object image captured by the capturing module, so as to adjust the infrared module in real time, so that the infrared module can acquire a thermal image of the target portion of the user 103 to be measured, and determine the body temperature of the user to be measured according to the thermal image. It can be understood that, compared with the forehead thermometer and other close-range temperature measurement methods in the related art, the present embodiment can realize the remote temperature detection of the user or other objects to be detected by using the shooting module and the infrared module.
It can be understood that the application scenario is described by taking the object to be measured as the user 103 to be measured as an example, and in an actual scenario, the object to be measured may be an object to be measured, such as a pet to be measured, a product to be measured, or a device, which needs to be subjected to temperature measurement.
It should be understood that the temperature detection method provided by the embodiment of the present disclosure may be implemented by, for example, using a shooting module, an infrared module, and a terminal device in cooperation, and the temperature detection system provided by the embodiment of the present disclosure includes the shooting module, the infrared module, and the terminal device, or includes the shooting module, the infrared module, a processor and a display that are independent of the terminal device.
The following describes in detail a temperature detection method and apparatus provided by the embodiment of the present disclosure with reference to fig. 2 to 6 based on the application scenario of fig. 1.
Fig. 2 schematically shows a block diagram of a temperature detection system according to an embodiment of the present disclosure.
As shown in fig. 2, the temperature detection system 200 of this embodiment may include a camera module 210, an infrared module 220, and a processor 230. The camera module 210 and the infrared module 220 are both connected to the processor 230 to enable the processor 230 to acquire an object image and a thermal image, respectively.
The shooting module 210 may include, for example, a camera, and is configured to shoot an object in the capture range in real time to obtain an object image of the object. The size of the lens of the camera head can be set according to actual requirements, and the larger the lens is, the larger the maximum angle and the maximum distance of shooting are. The camera may be, for example, a visible light camera, a color camera, a black and white camera, or the like.
The infrared module 220 may include, for example, an infrared sensor for sensing infrared rays radiated from the object within the collection range (i.e., receiving infrared rays emitted from the object), so as to form a thermal image (specifically, an infrared thermal image). The infrared thermal image may experience the temperature of the object through color depth. The higher the temperature of the object, the darker the color, and the lower the temperature of the object, the lighter the color.
The processor 230 may be, for example, a processor in the terminal device 101, configured to determine the temperature of the object to be measured according to the color depth of the thermal image. In order to facilitate the detection personnel to know the temperature measurement result, the processor 230 may further process an object image captured by the capturing module 210, for example, add the determined temperature of the object to be detected to the object image, and obtain a display image displayed to the detection personnel.
For example, since the acquisition range of the infrared module of the present embodiment is only a partial region including the target portion, it is not necessary to detect all regions of the object to be detected. Therefore, the infrared module only needs to have a smaller acquisition range, and accordingly the number of the infrared sensors arranged on the infrared module can be reduced, so that the detection cost is effectively reduced.
According to an embodiment of the present disclosure, in order to facilitate displaying the display image to the detecting person, as shown in fig. 2, the temperature detecting system of the embodiment may further include a display 240, for example. The display 240 is connected to the processor 230 and is used for displaying the display image obtained by the processor 230.
According to the embodiment of the disclosure, the infrared sensor is used for converting the radiation energy of the sensed infrared ray into an analog electric signal, and in order to obtain a digital signal which can be transmitted to the processor through the infrared module, the infrared module of the embodiment may further include an analog-to-digital converter in addition to the infrared sensor. The analog-to-digital converter is used for converting the analog electric signal into a digital signal. A thermal image indicative of the temperature data is generated based on the digital signal.
For example, the temperature difference is small because the acquisition range of the infrared module of this embodiment is only a partial region including the target portion, and the acquisition range of the infrared imaging system is the entire object to be measured, so the temperature difference is generally large. When the infrared module adopts the analog-to-digital converter with the resolution ratio same with that of the infrared imaging system in the related technology, the temperature difference detected by the embodiment is smaller, the dynamic range is small, compared with the related technology, the minimum temperature difference which can be detected by the analog-to-digital converter is smaller, and the detected temperature precision is high. For similar reasons, when the detected temperature precision is fixed, because the temperature difference detected by the embodiment is small and the dynamic range is small, the detected temperature precision can be met by adopting the analog-to-digital converter with poor detection precision, and the detection cost can be reduced.
Based on the temperature detection system described in fig. 2, the embodiment of the present disclosure provides a temperature detection method performed by the temperature detection system.
Fig. 3 schematically illustrates a flow chart of a temperature detection method according to an embodiment of the present disclosure. As shown in fig. 3, the temperature detection method 300 may include, for example, operations S310 to S330.
In operation S310, an object image of the object to be measured is acquired by the photographing module 210.
Illustratively, the camera module 210 may capture images within its capture range in real time, for example. The processor 230 may acquire the image captured by the capture module 210 in real time. The processor 230 may identify the image acquired in real time and save only the image with the object to be measured as the object image.
In operation S320, when the object to be measured is located within the collection range of the infrared module, the thermal image of the target area of the object to be measured is collected by the infrared module.
For example, the infrared module 220 may be similar to the shooting module 210, receive infrared rays emitted by an object within the collection range thereof in real time, obtain radiation energy of the infrared rays, convert the radiation energy into a digital signal, and send the digital signal to the processor 230. Processor 230 may form a thermal image based on the digital signal sent by infrared module 220 after receiving the digital signal. The processor 230 then retains only the thermal images that are indicative of the target area of the object to be measured by identifying the thermal images.
According to the embodiment of the disclosure, because the collection range of the infrared module is small, in order to collect the thermal image of the object to be detected, before the thermal image is collected by adopting the infrared module, for example, the detection area in the physical space can be determined according to the relative position between the shooting module and the infrared module. When the object to be detected is located in the detection area, the object to be detected is located in the acquisition range of the infrared module, and the thermal image of the target area of the object to be detected is acquired by the infrared module.
Illustratively, the detection region in the physical space may be, for example, a three-dimensional region. In order to determine the detection area, the placement positions of the shooting module and the infrared module can be adjusted in advance. For example, place the position through the regulation for the optical axis of shooting module and infrared module is located same horizontal plane, makes the optical center of shooting module and infrared module be close to as far as possible, and makes the collection scope of two modules overlap mutually. Wherein, the collection scope of considering infrared module is less, consequently, can be through adjusting the position of placing of two modules for the collection scope of shooting the module covers the collection scope of infrared module. After the placement positions of the two modules are set, for example, the spatial range in which the target object is located when images acquired by the two modules coincide can be obtained by adjusting the positions of the target object (for example, a white board) or the like as a sample. The spatial range is the detection area in the determined physical space.
In operation S330, a temperature of the object to be measured is determined based on the thermal image. The operation S330 is performed by the processor 230.
According to an embodiment of the present disclosure, operation S330 may, for example, use an average value of temperatures indicated by respective pixels in the thermal image as the temperature of the object to be measured.
According to an embodiment of the present disclosure, in order to improve the accuracy of the determined temperature of the object to be measured, the operation S330 may further determine a target image area of the target portion in the object image according to the feature information of the target portion, for example. Namely, the image area indicating the target part in the object image is determined as the target image area. And then determining an image area indicating the target part in the thermal image according to the corresponding relation between the thermal image and the object image. And finally, taking the temperature average value of the indication of each pixel point in the image area of the indication target part in the thermal image as the temperature of the object to be measured.
According to an embodiment of the present disclosure, in order to further improve the accuracy of determining the temperature of the object to be measured, the operation S330 may also be implemented by a flow described in the following fig. 6, for example, and is not described in detail here.
According to the embodiment of the disclosure, in order to facilitate the detection personnel to know the measurement result, the temperature detection method of the embodiment further comprises the operation of adding the temperature of the object to be detected on the object image to obtain the display image. This operation can be realized, for example, by: the processor 230 adds a new layer to a local area on the object image, and adds temperature data of the object to be measured to the new layer, thereby obtaining a display image.
For example, in order to facilitate the detection person to intuitively distinguish the temperature of the object to be detected from the object image indicating the object, when the processor 230 adds the temperature of the object to be detected to the object image, the added characters or pictures may be in a color with higher saturation, for example. For example, a red number may be added to the image of the object, and the value of the red number is the temperature of the object to be measured.
For example, in order to facilitate the inspector to intuitively know that the temperature of the object to be measured is obtained according to the target portion, when the temperature of the object to be measured is added to the object image, the temperature of the object to be measured may be added to the object image, for example, in the vicinity of a pixel point indicating the target portion. Therefore, the operation S330 may, for example, determine an image area indicating the feature information in the object image according to the feature information of the target portion, and then add the temperature of the object to be measured in the vicinity of the image area.
According to an embodiment of the present disclosure, the feature information of the target portion may include, for example, a shape feature (e.g., a contour feature of the target portion), a texture feature, or a spatial relationship feature, which is not limited by the present disclosure.
In summary, the temperature detection system and the temperature detection method of the embodiment of the present disclosure replace the infrared imaging system with the independent shooting module and the infrared module, so that the local geothermal image collection of the object to be detected can be realized, and therefore, the number of the infrared sensors included in the infrared sensor array can be effectively reduced, and the cost for detecting the temperature of the object to be detected can be effectively reduced.
According to the embodiment of the disclosure, considering that the acquisition range of the infrared module is smaller, in order to improve the flexibility of measuring the temperature, the adjustment module for adjusting the acquisition range of the infrared module can be added to the temperature detection system in the embodiment.
Fig. 4 schematically shows a block diagram of a temperature detection system according to another embodiment of the present disclosure.
As shown in fig. 4, the temperature detecting system 400 of the embodiment may further include an adjusting module 450, for example, in addition to the camera module 210, the infrared module 220, and the display 240 of the processor 230. In one embodiment, the temperature detection system 400 may also include a display 240.
The adjusting module 450 is used for adjusting the collecting range of the infrared module 220. The adjustment of the collection range can be realized by adjusting the position and the rotation angle of the infrared module 220, for example.
Illustratively, the adjusting module 450 may include, for example, a rotating bracket on which the infrared module 220 is disposed, the rotating bracket including a placing platform, and the height of the platform may be adjusted, for example, by adjusting the height of the rotating bracket, so as to adjust the collecting range of the infrared module 220 in a direction perpendicular to the horizontal plane.
Illustratively, the adjusting module 450 may include, for example, a pan/tilt head and a servo motor, and the adjusting module 450 is disposed on the pan/tilt head. The servo motor is used for adjusting the position of the holder in the horizontal direction and the vertical direction and can also be used for adjusting the rotating angle of the holder. The adjustment of the acquisition range of the infrared module 220 can be realized by adjusting the position and the rotation angle of the holder.
In actual use, the acquisition range of the infrared module 220 can be adjusted according to the spatial position of the object to be detected, so as to detect the object to be detected without the need of the object to be detected being located in a predetermined detection area. In order to facilitate automatic adjustment of the acquisition range of the infrared module 220, the embodiment may determine the spatial position of the target portion of the object to be detected according to the object image captured by the capturing module 210. Then, the acquisition range of the infrared module 220 is adjusted by a servo mechanism according to the spatial position of the target portion, so that the target portion of the object to be measured is located in the acquisition range of the infrared module 220. Through this adjustment, when infrared module 220 gathers the infrared ray that the object in its collection scope sent to obtain the thermal image according to the radiant energy conversion of infrared ray, this thermal image that obtains is the thermal image of target area, and this thermal image can indicate the temperature of the target site of the object that awaits measuring.
FIG. 5 schematically illustrates a flow chart for obtaining a thermal image of a target area according to an embodiment of the present disclosure.
According to an embodiment of the present disclosure, the operation S320 of acquiring the thermal image of the target area of the object to be measured by using the infrared module based on the temperature detection system described in fig. 4 may include, for example, operations S521 to S524.
In operation S521, a spatial position of a target part is determined according to an object image. The operation S521 is performed by the processor 230.
According to an embodiment of the present disclosure, the operation S521 may determine a target image area in the object image for the target region according to the feature information of the target region. Specifically, image features in the object image are extracted, and a region where the image features match with feature information of the target portion is taken as a target image region. The spatial position of the target portion is then determined according to the size of the object indicated by the image in the target image area, the physical size of the predetermined target portion, and the shooting parameters (e.g., focal length, etc.) of the shooting module 210.
In operation S522, adjustment parameters of the infrared module are determined according to the spatial position of the target portion. This operation is performed by processor 230.
In operation S523, the infrared module is adjusted according to the adjustment parameter, so that the acquisition range of the infrared module includes the target portion. This operation may be performed, for example, by the adjustment module 450 under the control of the processor 230.
According to an embodiment of the present disclosure, the operation S522 may, for example, compare the current collection range of the infrared module with the spatial position of the target portion, and determine a translation distance (the translation distance may include a distance in a horizontal direction and a distance in a vertical direction) and a rotation angle of the infrared module. Operation S523 may be to adjust the platform on which the infrared module 220 is placed according to the determined translation distance and rotation angle of the infrared module, so as to adjust the acquisition range of the infrared module, so that the adjusted acquisition range of the infrared module has the target portion of the object to be detected.
After the acquisition range of the infrared module is adjusted, the acquisition of the thermal image of the target area can be completed by executing operation S524. In operation S524, the infrared module is used to collect infrared rays emitted by the object to be measured within the collection range of the infrared module, so as to obtain a thermal image of the target area.
According to the embodiment of the disclosure, it is considered that there may be two or more objects to be detected within the range of the line of sight of the shooting module 210 when the detection area where the objects to be detected are located is not limited. In this case, in order to improve the accuracy of adjusting the infrared module 220, the processor 230 may determine a target object of the at least two objects to be measured when determining the spatial position of the target portion. And then determining the position information of the target part included in the target object in the object image according to the characteristic information of the target part. And finally, determining the spatial position of the target part according to the position information of the target part in the object image.
For example, when determining the target object, for example, the object with the largest exposure range in the object image among the at least two objects to be measured may be selected as the target object. Or, the object occupying the largest area in the object image in the at least two objects to be measured may be selected as the target object. Or, the object which is most clearly imaged in the object image in the at least two objects to be measured can be selected as the target object.
In summary, the temperature detection system and method of the embodiment of the disclosure determine the adjustment parameter of the infrared module according to the object image shot by the shooting module, and adjust the position and the rotation angle of the infrared module by using the adjustment module, so that the temperature detection can be automatically processed, the position of the object to be detected does not need to be limited, and the flexibility of temperature detection can be improved.
In accordance with embodiments of the present disclosure, it is contemplated that the thermal image captured by the infrared module may include a thermal image of the periphery of the target site in addition to the thermal image of the target site. For example, if the target area is the forehead, the acquired thermal image may further include thermal images of the eyes, nose, and the like. In order to further improve the accuracy of the determined temperature of the object to be measured, the embodiment may further process the temperature indicated by the thermal image to obtain a final accurate temperature, for example.
FIG. 6 schematically illustrates a flow chart for determining a temperature of an object under test according to an embodiment of the disclosure. Fig. 7 schematically shows a principle diagram for determining the temperature of an object to be measured.
As shown in fig. 6, the operation S330 of determining the temperature of the object to be measured from the thermal image may include, for example, operations S631 to S632.
In operation S631, an image area for the target portion in the thermal image is determined according to the object image and the feature information of the target portion.
According to an embodiment of the present disclosure, the operation S631 may determine a target image area corresponding to the target portion in the object image according to the feature information of the target portion, for example. Then, according to the corresponding relation between the object image and the thermal image, the area corresponding to the target image area in the thermal image is determined as the image area aiming at the target part.
For example, the image feature of the object image may be extracted, and the extracted image feature may be compared with the feature information of the target portion, so as to determine that the region corresponding to the image feature matching the feature information of the target portion is the target image region.
For example, the target image region may be determined from a deep learning model trained from a large number of sample images having the target portion. The operation S631 may output a coordinate range of the target image region in the entire object image by inputting the object image into the depth learning model, for example. And positioning according to the coordinate range to obtain a target image area.
For example, the correspondence between the object image and the thermal image may be a conversion relationship obtained by converting a coordinate system established based on the object image into a coordinate system established based on the thermal image. For example, when the optical axis of the camera module and the optical axis of the infrared module are in the same horizontal plane and parallel to each other, the corresponding relationship between the two may include a translational relationship, for example.
In operation S632, the temperature data indicated by the image area is smoothed to obtain the temperature of the object to be measured.
According to an embodiment of the present disclosure, the operation S632 may implement smoothing processing on the temperature data indicated by the image area through operations of noise reduction, fitting, and the like. The smoothing process is described below, taking a noise reduction operation as an example.
Firstly, dividing an image area into at least two sub-areas according to the acquisition ranges of a plurality of infrared sensors, wherein each sub-area corresponds to one infrared sensor, and each sub-area corresponds to one sub-part in a target part. Illustratively, infrared module 220 may include, for example, a sensor array composed of a plurality of infrared sensors. As shown in fig. 7, the sensor array may include, for example, 16 infrared sensors, and thermal images obtained by converting infrared radiation energy sensed by the 16 infrared sensors correspond to 16 sub-regions numbered 1 to 16, respectively, as shown in fig. 7. When the target component is the forehead, the target image area determined through operation S631 may be an area composed of sub-areas numbered 1 to 8.
Then, a weight is assigned to each sub-region according to the position of the sub-part corresponding to each sub-region in the target part. As shown in fig. 7, for the sub-regions numbered 2, 3, 6, and 7, the sub-components corresponding to the four sub-regions are located at the center position in the target component, and a larger weight, for example, 0.2, is assigned to the four sub-regions. For sub-regions numbered 1, 4, 5, 8, a smaller weight, e.g. 0.05, is assigned because the corresponding sub-component is located at an edge position in the target component. It is to be understood that the above-mentioned distribution principle of the weight and the value of the weight are only used as examples to facilitate the understanding of the present disclosure, and the present disclosure does not limit the present disclosure. In an embodiment, the weight distribution rule and the weight value may be set according to a large amount of experimental data, for example.
And finally, determining the temperature of the object to be measured according to the weight distributed by each sub-area and the temperature data indicated by each sub-area. Specifically, the weight assigned to each sub-region may be multiplied by the temperature data indicated by each sub-region to obtain weighted temperature data for each sub-region. And summing the weighted temperature data of the at least two sub-areas to obtain the temperature of the object to be measured.
In summary, the temperature data indicated by the image area is smoothed, so that the accuracy of the finally determined temperature of the object to be measured can be effectively improved.
FIG. 8 schematically illustrates a block diagram of a computer system adapted to determine a temperature of an object under test from an image of the object and a thermal image according to an embodiment of the disclosure. The computer system illustrated in FIG. 8 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 8, a computer system 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.
Illustratively, the computer system may be used to perform the aforementioned operation S330 in fig. 2, for example. In an embodiment, the computer system may be further configured to perform operations S521 through S522 described in fig. 5, for example.
In the RAM 803, various programs and data necessary for the operation of the system 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 802 and/or RAM 803. Note that the programs may also be stored in one or more memories other than the ROM 802 and RAM 803. The processor 801 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: 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), 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. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 802 and/or RAM 803 described above and/or one or more memories other than the ROM 802 and RAM 803.
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 or flowchart illustration, and combinations of blocks in the block diagrams 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.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (11)
1. A method of temperature detection, comprising:
acquiring an object image of an object to be detected by using a shooting module;
when the object to be detected is located in the acquisition range of the infrared module, acquiring a thermal image of a target area of the object to be detected by using the infrared module; and
determining a temperature of the object to be measured from the thermal image,
wherein the target area comprises a target part of the object to be measured.
2. The method of claim 1, wherein acquiring the thermal image of the target area of the object to be tested using the infrared module comprises:
determining the spatial position of the target part according to the object image;
determining an adjustment parameter of the infrared module according to the spatial position of the target part;
adjusting the infrared module according to the adjusting parameter so that the acquisition range of the infrared module comprises the target part; and
and acquiring infrared rays emitted by the object to be detected in the acquisition range by using the infrared module to obtain a thermal image of the target area.
3. The method of claim 2, wherein said determining a spatial location of the target site from the object image comprises:
determining a target object in the at least two objects to be detected under the condition that the object image comprises the at least two objects to be detected;
according to the characteristic information of the target part, determining the position information of the target part in the object image, wherein the target part is included in the target object; and
and determining the spatial position of the target part according to the position information.
4. The method of claim 1, wherein determining the temperature of the object under test comprises:
determining an image area in the thermal image for the target part according to the characteristic information of the object image and the target part; and
and smoothing the temperature data indicated by the image area to obtain the temperature of the object to be measured.
5. The method of claim 4, wherein the infrared module comprises a sensor array of a plurality of infrared sensors; smoothing the temperature data indicated by the image region comprises:
dividing the image area into at least two sub-areas according to the acquisition ranges of the infrared sensors, wherein each sub-area of the at least two sub-areas corresponds to one infrared sensor of the infrared sensors, and each sub-area corresponds to one sub-part of the target part;
according to the position of the sub-part corresponding to each sub-region in the target part, assigning a weight to each sub-region; and
and determining the temperature of the object to be measured according to the weight distributed by each sub-area and the temperature data indicated by each sub-area.
6. The method of claim 4, wherein determining an image region in the thermal image for the target site comprises:
determining a target image area corresponding to the target part in the object image according to the characteristic information of the target part; and
and determining an image area aiming at the target part in the thermal image according to the corresponding relation between the object image and the thermal image.
7. The method of claim 1, further comprising:
determining a detection area in a physical space according to the relative position between the shooting module and the infrared module,
when the object to be detected is located in the detection area, the object to be detected is located in the acquisition range of the infrared module.
8. The method of claim 1, further comprising:
adding the temperature of the object to be detected to the object image to obtain a display image; and
and displaying the display image by using a display.
9. A temperature sensing system, comprising:
the shooting module is used for collecting an object image of an object to be detected;
the infrared module is used for acquiring infrared rays emitted by a target area of the object to be detected by utilizing the infrared module when the object to be detected is positioned in the acquisition range of the infrared module, so as to obtain a thermal image of the target area; and
a processor for determining a temperature of the object to be measured based on the thermal image,
wherein the target area comprises a target part of the object to be measured.
10. The system of claim 9, wherein:
the processor is configured to:
determining the spatial position of the target part according to the object image;
determining an adjustment parameter of the infrared module according to the spatial position of the target part;
the system also comprises an adjusting module used for adjusting the infrared module according to the adjusting parameter so that the acquisition range of the infrared module comprises the target part;
the infrared module is used for collecting infrared rays emitted by an object to be detected within the collection range of the infrared module to obtain a thermal image of the target area.
11. The system of claim 9, wherein:
the infrared module comprises a sensor array formed by a plurality of infrared sensors;
the processor is further configured to: adding the temperature of the object to be detected to the object image to obtain a display image;
the system also includes a display for displaying the presentation image.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741317A (en) * | 2016-01-20 | 2016-07-06 | 内蒙古科技大学 | Infrared moving target detection method based on time-space domain saliency analysis and sparse representation |
| CN205545533U (en) * | 2016-01-28 | 2016-08-31 | 杭州数尔电子有限公司 | Two mesh cloud platforms of visible light camera and thermal infrared imaging camera |
| CN206095434U (en) * | 2016-08-30 | 2017-04-12 | 哈瓦国际航空技术（深圳）有限公司 | Infrared thermal imaging cloud platform |
| CN107395965A (en) * | 2017-07-14 | 2017-11-24 | 维沃移动通信有限公司 | A kind of image processing method and mobile terminal |
| CN206772441U (en) * | 2017-04-17 | 2017-12-19 | 西安同步电气有限责任公司 | A kind of valve Room infrared temperature measurement system |
| WO2019119434A1 (en) * | 2017-12-22 | 2019-06-27 | 深圳市大疆创新科技有限公司 | Information processing method, unmanned aerial vehicle, remote control apparatus, and non-volatile storage medium |
| CN110378952A (en) * | 2019-07-10 | 2019-10-25 | 深圳前海微众银行股份有限公司 | A kind of image processing method and device |
| CN111289111A (en) * | 2020-02-20 | 2020-06-16 | 中国科学院半导体研究所 | Self-calibration infrared body temperature rapid detection method and detection device |
| CN111401349A (en) * | 2020-06-08 | 2020-07-10 | 广州图普网络科技有限公司 | Face temperature measurement method and device, electronic equipment and storage medium |
| CN111415470A (en) * | 2020-02-24 | 2020-07-14 | 北京三快在线科技有限公司 | Article access method, server, intelligent distribution cabinet and computer readable medium |
-
2020
- 2020-07-17 CN CN202010701235.9A patent/CN114088207A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741317A (en) * | 2016-01-20 | 2016-07-06 | 内蒙古科技大学 | Infrared moving target detection method based on time-space domain saliency analysis and sparse representation |
| CN205545533U (en) * | 2016-01-28 | 2016-08-31 | 杭州数尔电子有限公司 | Two mesh cloud platforms of visible light camera and thermal infrared imaging camera |
| CN206095434U (en) * | 2016-08-30 | 2017-04-12 | 哈瓦国际航空技术（深圳）有限公司 | Infrared thermal imaging cloud platform |
| CN206772441U (en) * | 2017-04-17 | 2017-12-19 | 西安同步电气有限责任公司 | A kind of valve Room infrared temperature measurement system |
| CN107395965A (en) * | 2017-07-14 | 2017-11-24 | 维沃移动通信有限公司 | A kind of image processing method and mobile terminal |
| WO2019119434A1 (en) * | 2017-12-22 | 2019-06-27 | 深圳市大疆创新科技有限公司 | Information processing method, unmanned aerial vehicle, remote control apparatus, and non-volatile storage medium |
| CN110378952A (en) * | 2019-07-10 | 2019-10-25 | 深圳前海微众银行股份有限公司 | A kind of image processing method and device |
| CN111289111A (en) * | 2020-02-20 | 2020-06-16 | 中国科学院半导体研究所 | Self-calibration infrared body temperature rapid detection method and detection device |
| CN111415470A (en) * | 2020-02-24 | 2020-07-14 | 北京三快在线科技有限公司 | Article access method, server, intelligent distribution cabinet and computer readable medium |
| CN111401349A (en) * | 2020-06-08 | 2020-07-10 | 广州图普网络科技有限公司 | Face temperature measurement method and device, electronic equipment and storage medium |
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