KR20240058385A - Computer device equipped with various algorithms for judging febrile disease and method of the same - Google Patents

Abstract

The present disclosure relates to a computer device equipped with various algorithms for determining febrile illness and a method thereof, which acquires an image through at least one camera module and uses a plurality of algorithms together to identify at least one object in the image. It can be configured to determine febrile illness.

Description

Computer device equipped with various algorithms for determining febrile illness and method thereof {COMPUTER DEVICE EQUIPPED WITH VARIOUS ALGORITHMS FOR JUDGING FEBRILE DISEASE AND METHOD OF THE SAME}

The present disclosure relates to a computer device equipped with various algorithms for determining febrile illness and a method thereof.

Since febrile diseases have the problem of increasing infectiousness in crowded spaces, it is important to measure body temperature using thermal imaging cameras. When measuring body temperature, the exposed skin area is measured for accurate measurement, and the face area is generally used as the main measurement area. As a result of the measurement, if a fever occurs, immediate action is required, but if it is hidden, it can become a cause of group infection. In particular, in the case of children and infants, it is difficult to express their opinions, so there may be a delay in reporting abnormal symptoms to guardians, teachers, or people in charge. many.

Since various algorithms must be operated to effectively determine febrile diseases that are difficult to detect by simply measuring body temperature, the present disclosure proposes a computer device equipped with various algorithms and a method thereof.

The method of the computer device of the present disclosure may include acquiring an image through at least one camera module, and determining febrile illness of at least one object in the image using a plurality of algorithms together. there is.

The computer device of the present disclosure includes at least one camera module, a memory, and a processor connected to the camera module and the memory, acquiring an image through the camera module, and executing at least one command stored in the memory. and the processor may be configured to determine febrile illness of at least one object in the image using a plurality of algorithms together.

According to the present disclosure, a computer device can more accurately determine febrile illness using various algorithms. Therefore, the computer device can effectively determine febrile diseases that are difficult to detect by simply measuring body temperature. At this time, the computer device may inform the detection result of the febrile illness by displaying at least one of an image or an algorithm result through a graphic user interface (GUI). This will enable immediate action against febrile illnesses. For example, even in cases where it is difficult for children and infants to express their opinions, febrile diseases can be detected with higher accuracy, allowing immediate action.

1 is a diagram schematically showing a computer device according to various embodiments.
FIG. 2 is a diagram illustrating an exemplary connection screen displayed when a computer device is connected to a camera module according to various embodiments.
FIGS. 3A, 3B, 3C, and 3D are diagrams illustrating display screens displayed when determining a febrile illness in a computer device according to various embodiments.
4 is a diagram schematically showing a method of using a computer device according to various embodiments.

Hereinafter, various embodiments of the present disclosure are described with reference to the attached drawings.

The present disclosure provides a computer device (computer device 100 of FIG. 1) equipped with various algorithms for determining febrile illness and a method thereof. The computer device 100 may include at least one camera module (camera module 110 in FIG. 1). At this time, the camera module 110 may be installed in a predetermined location. According to one embodiment, the computer device 100 may be driven in combination with the camera module 110 at the corresponding location. According to another embodiment, the computer device 100 may be placed in another location away from the corresponding location and operated while remotely communicating with the camera module 110. Through this, the computer device 100 can operate as an intelligent camera device. For example, when the camera module 110 is implemented as a stand type, the computer device 100 can determine a febrile illness for a single object from an image acquired through the camera module 110. As another example, when the camera module 110 is implemented as a wall-mounted type, the computer device 100 may determine febrile illness for multiple objects from images acquired through the camera module 110.

FIG. 1 is a diagram schematically showing a computer device 100 according to various embodiments. FIG. 2 is a diagram illustrating a connection screen 200 displayed when the computer device 100 is connected to the camera module 110 according to various embodiments. FIGS. 3A, 3B, 3C, and 3D are diagrams illustrating a display screen 300 displayed when determining a febrile illness in the computer device 100 according to various embodiments.

Referring to FIG. 1, the computer device 100 may include at least one of at least one camera module 110, an input module 120, an output module 130, a memory 140, or a processor 150. there is. In some embodiments, at least one of the components of computer device 100 may be omitted, and at least one other component may be added (e.g., internal hot exhaust module, power module, other device engagement module, etc.) there is. In some embodiments, at least two of the components of computer device 100 may be implemented as one integrated circuit.

The camera module 110 can capture images. The camera module 110 may include at least one of a general camera or a thermal imaging camera. A general camera can acquire images from light reflected from a subject. Thermal imaging cameras can acquire images from heat radiating from a subject. Specifically, the camera module 110 may include only a general camera, or may include a general camera and a thermal imaging camera. According to one embodiment, the camera module 110 may be implemented to be detachable from the computer device 100. According to another embodiment, the camera module 110 may be implemented by being coupled to the computer device 100.

The input module 120 may input a signal to be used in at least one component of the computer device 100. The input module 120 is an input unit configured to allow the user to directly input a signal into the computer device 100, a sensor unit configured to generate a signal by detecting changes in the surroundings, or configured to receive a signal from an external device. It may include at least one of the receiving units. For example, the input unit may include at least one of a microphone, mouse, or keyboard. In some embodiments, the input unit may include at least one of touch circuitry configured to detect a touch or a sensor circuit configured to measure the intensity of force generated by the touch.

The output module 130 may output information to the outside of the computer device 100. The output module 130 may include at least one of a display unit configured to visually output information, an audio output unit capable of outputting information as an audio signal, or a transmission unit capable of transmitting information wirelessly. . For example, the display unit may include at least one of a display, a hologram device, or a projector. As an example, the display unit may be implemented as a touch screen by being assembled with at least one of the touch circuit or the sensor circuit of the input module 120. For example, the audio output unit may include at least one of a speaker or a receiver.

According to one embodiment, the receiving unit and the transmitting unit may be implemented as communication modules. The communication module may perform communication with an external device in the computer device 100. The communication module may establish a communication channel between the computer device 100 and an external device and perform communication with the external device through the communication channel. Here, the external device may include at least one of a satellite, a base station, or a server. The communication module may include at least one of a wired communication module or a wireless communication module. The wired communication module is connected to an external device by wire and can communicate by wire. The wireless communication module may include at least one of a short-range communication module or a long-distance communication module. The short-range communication module can communicate with external devices using short-range communication. For example, the short-range communication method may include at least one of Bluetooth, WiFi direct, or infrared data association (IrDA). The long-distance communication module can communicate with external devices through long-distance communication. Here, the long-distance communication module can communicate with an external device through a network. For example, the network may include at least one of a cellular network, the Internet, or a computer network such as a local area network (LAN) or a wide area network (WAN).

Memory 140 may store various data used by at least one component of computer device 100. For example, the memory 140 may include at least one of volatile memory and non-volatile memory. Data may include at least one program and input or output data related thereto. The program may be stored in the memory 140 as software including at least one command, and may include at least one of an operating system, middleware, or an application.

The processor 150 may execute a program in the memory 140 to control at least one component of the computer device 100. Through this, the processor 150 can process data or perform calculations. At this time, the processor 150 may execute instructions stored in the memory 140.

According to various embodiments, the processor 150 may acquire an image through the camera module 110. For this purpose, the processor 150 may be connected to the camera module 110. When connected to the camera module 110, the processor 150 may display the connection screen 200 through a graphic user interface (GUI), as shown in FIG. 2. For example, the connection screen 200 includes at least one of a connection information input area 210, a connection button 220, a connection process output area 230, a preview area 240, or a settings information input area 250. may include.

The connection information input area 210 may be used to input connection information about the camera module 110. Here, the connection information may include at least one of identification information (eg, ID, password), address information (eg, IP address), or port information of the camera module 110. The connection button 220 may be used to connect to the camera module 110. The connection process output area 230 may be used to display the connection process for the camera module 110.

For example, the processor 150 may display the following series of connection processes in the connection process output area 230 with messages as shown in [Table 1] below. The processor 150 may check whether there is connection information entered in the connection information input area 210 and, if there is connection information, may transmit a connection request to the camera module 110 based on the connection information. If the connection to the camera 110 is successful, the processor 150 can load the image acquired through the camera module 110. Here, the processor 150 may request and obtain media information of the camera module 110 to acquire an image, and additionally request and obtain profile, token, and URI information to load the image from the camera module 110. there is.

One Request to load entered information... 2 Completed loading of entered information... 3 Send a connection request to the camera based on the entered information... 4 Successfully connected to the camera based on the entered information... 5 Request camera media information... 6 Obtaining camera media information... 7 Request camera profile information... 8 Obtain camera profile information... 9 Request camera token information... 10 Acquire camera token information... 11 Request camera URI information... 12 Obtain camera URI information...

The preview area 240 is for checking the connection status of the camera module 110. The preview area 140 includes a preview on/off button, and when the preview on/off button is selected after the connection of the camera module 110 is completed, the image obtained through the camera module 110 is selected. An image may be displayed in the preview area 240. The setting information input area 250 may be used to input setting information for internal settings of the camera module 110. That is, when setting information is input into the setting information input area 150, the processor 150 can apply the setting information for internal setting of the camera module 110. At this time, in the setting information input area 150, if the camera module 110 includes a thermal imaging camera as well as a general camera, setting information for the thermal imaging camera may be input. The setting information input area 150 includes a setting button (Config Set) and a load button (Config Get). When the setting button is selected, the processor 150 sets the entered setting information for the camera module 110 and , When the load button is selected, the processor 150 can load the set setting information into the corresponding camera module 110.

For example, the setting information may include at least one of measurement information, calibration distance, ambient temperature, temperature correction, ambient humidity, emission rate, spot temperature, or zone temperature. The measurement mode includes a first measurement mode (e.g. -20 ℃ to 180 ℃) or a second measurement mode (e.g. 100 ℃ to 600 ℃), and can be selected through selection controllers such as radio buttons, check boxes, combo boxes, buttons, etc. Either the first measurement mode or the second measurement mode can be selected. The correction distance is used to correct the value of the received signal according to the distance from the subject to the camera module 110. It corrects distortion and improves accuracy of the received signal, such as adjusting the loss correction rate, spectrum range/size, and interpolation value, depending on the setting value. It is possible to set a numerical value for, and depending on the characteristics of the sensor module, it can be set to a decimal or integer range value, and the maximum and minimum ranges may be different depending on the characteristics of the sensor module. The ambient temperature represents the temperature of the surrounding environment during filming, and the temperature of the subject obtained by applying the ambient temperature can be corrected. The ambient temperature can be measured and applied through the external temperature measurement module mounted on the camera module 110. It is also possible to apply external temperature measured directly by the user. Temperature correction is used to set a weight when correcting the temperature value obtained from received data. It can be set to a decimal or integer range value depending on the sensor module characteristics. The maximum and minimum ranges are different depending on the sensor module characteristics. The higher the number, the higher the weight level can be. Ambient humidity is used to set the surrounding environmental humidity during filming, and is used to correct the temperature of the subject obtained by applying the surrounding humidity. It can be applied after measuring the surrounding humidity through the external humidity measurement module mounted on the camera module 110. It is also possible to apply external humidity measured directly by the user. Emission rate can indicate the speed and intensity of sending out a signal for temperature measurement. Point temperature is used to measure temperature by setting the desired coordinates in the thermal image and fixing the position. The maximum number of points that can be set is as many as the number of pixels, and the check must be set to fix the position and proceed with measurement. there is. Zone temperature is used to measure temperature by selecting two desired coordinates in a thermal image and fixing a rectangular area by the difference in coordinate values. It displays the highest point within the rectangular area and shows the locations of up to three settable points. It can be set, and you must check it to fix the position, draw a square area, and then proceed with measurement.

According to various embodiments, the processor 150 may use multiple algorithms together to determine whether at least one object in the image has a febrile illness. Here, the object may include a human face. At this time, the algorithms may be for at least one of object detection, object recognition, object classification, or object analysis. Object detection is detecting what is judged to be an object in an image, object recognition is recognizing what objects are detected and judged to be objects in the image, object classification is classifying the indiscriminate results of detection and recognition into designated categories, Object analysis may be analyzing the characteristics of the object and its differences from other objects, saturation, contrast, distortion rate, noise ratio, etc. before and after detection, recognition, and classification. Accordingly, the processor 150 may determine the febrile illness of at least one object in the image using a combination of multiple algorithms.

Specifically, the processor 150 may determine a febrile illness by detecting an object in an image and analyzing the object when the body temperature of the object exceeds a predetermined reference value. The processor 150 can detect an object in an image from a general camera. According to one embodiment, the processor 150 may measure the body temperature of an object by analyzing an image from a general camera using at least one algorithm. According to another embodiment, when the camera module 110 includes a thermal imaging camera as well as a general camera, the processor 150 uses at least one algorithm to determine the body temperature of an object based on the image from the thermal imaging camera. It can be measured. If the body temperature of the object exceeds the reference value, the processor 150 may determine a febrile illness by analyzing the object using at least one other algorithm.

According to one embodiment, the processor 150 may analyze the facial expression of the object and determine a febrile illness based on the facial expression of the object. At this time, the processor 150 may determine whether the facial expression is a negative facial expression. For example, the processor 150 can extract feature points related to facial expressions from an object and confirm location information about the corners of the eyes and the corners of the mouth through feature quantity analysis of the feature points. The processor 150 may detect the shape of the corner of the eye and the corner of the mouth based on the location information, and determine whether the facial expression is a negative expression according to the shape. If the expression is negative, the processor 150 may determine that a febrile illness has occurred in the object.

According to various embodiments, processor 150 may use multiple algorithms together to determine febrile illness of at least one object in an image, as shown in Figures 3A, 3B, 3C, or 3D. Likewise, the display screen 300 having at least one display area 310 and 320 can be provided through a graphical user interface. Here, the display screen 300 may display at least one of the frames per second (FPS) or resolution of the camera module 110 along with the display areas 310 and 320. The display area may include at least one of an image display area 310 or at least one result display area 320. The image display area 310 may be used to display an image acquired from the camera module 110 or to display the result of at least one of the algorithms on the image while displaying the image. The result display area 320 may be used to display the result of at least one of the algorithms.

For example, as shown in FIG. 3A, when the display screen 300 includes only the image display area 310, the image and the result of determining a febrile illness of an object in the image will be displayed in the image display area 310. You can. As another example, as shown in FIG. 3B or 3C, when the display screen 300 includes an image display area 310 and a result display area 320, an image is displayed in the image display area 310, In the result display area 320, at least one of an analysis result of the body temperature of the object in the image, an analysis result of the object's facial expression, or a determination result of the object's febrile illness may be displayed. As another example, as shown in FIG. 3D, when the display screen 300 includes a result display area 320, the result display area 320 includes the analysis result of the body temperature of the object in the image and the analysis of the object's facial expression. At least one of a result or a result of determining a febrile illness of an object may be displayed, respectively.

FIG. 4 is a diagram schematically showing a method of using the computer device 100 according to various embodiments.

Referring to FIG. 4, the computer device 100 may be connected to at least one camera module 110 in step 410. The camera module 110 may include at least one of a general camera or a thermal imaging camera. A general camera can acquire images from light reflected from a subject. Thermal imaging cameras can acquire images from heat radiating from a subject. Specifically, the camera module 110 may include only a general camera, or may include a general camera and a thermal imaging camera. When connected to the camera module 110, the processor 150 may display the connection screen 200 through a graphical user interface, as shown in FIG. 2.

Next, the computer device 100 may acquire an image through the camera module 110 in step 420. The processor 150 may acquire an image from the camera module 110. Then, the computer device 100 may detect at least one object in the image in step 430. The processor 150 can detect an object in an image from a general camera.

Next, the computer device 100 may measure the body temperature of the object in step 440. According to one embodiment, the processor 150 may measure the body temperature of an object by analyzing an image from a general camera using at least one algorithm. According to another embodiment, when the camera module 110 includes a thermal imaging camera as well as a general camera, the processor 150 uses at least one algorithm to determine the body temperature of an object based on the image from the thermal imaging camera. It can be measured. And, in step 450, the computer device 100 may determine whether the body temperature of the object exceeds a predetermined reference value. The processor 150 may compare the body temperature of the object with a reference value and determine whether the body temperature of the object exceeds the reference value.

Next, if it is determined in step 450 that the body temperature of the object exceeds the reference value, the computer device 100 may analyze the object in step 460. According to one embodiment, the processor 150 may analyze the facial expression of an object. At this time, the processor 150 may determine whether the facial expression is a negative facial expression. Here, the negative facial expression may include at least one of a sad facial expression, an angry facial expression, and a painful facial expression. For example, the processor 150 can extract feature points related to facial expressions from an object and confirm location information about the corners of the eyes and the corners of the mouth through feature quantity analysis of the feature points. The processor 150 may detect the shape of the corner of the eye and the corner of the mouth based on the location information, and determine whether the facial expression is a negative expression according to the shape. Accordingly, the computer device 100 may determine whether the object has a febrile illness in step 470. The processor 150 may determine a febrile illness based on the facial expression of the object. If the expression is negative, the processor 150 may determine that a febrile illness has occurred in the object.

Meanwhile, if it is determined in step 450 that the body temperature of the object does not exceed the reference value, the processor 150 may determine that a febrile illness has not occurred in the object.

According to various embodiments, processor 150 may use multiple algorithms together to determine febrile illness of at least one object in an image, as shown in Figures 3A, 3B, 3C, or 3D. Likewise, the display screen 300 having at least one display area can be provided through a graphical user interface. Here, the display screen 300 may display at least one of the frames per second (FPS) or resolution of the camera module 110 along with the display area. The display area may include at least one of an image display area 310 or at least one result display area 320. The image display area 310 may be used to display an image acquired from the camera module 110 or to display the result of at least one of the algorithms on the image while displaying the image. The result display area 320 may be used to display the result of at least one of the algorithms.

For example, as shown in FIG. 3A, when the display screen 300 includes only the image display area 310, the image and the result of determining a febrile illness of an object in the image will be displayed in the image display area 310. You can. As another example, as shown in FIG. 3B or 3C, when the display screen 300 includes an image display area 310 and a result display area 320, an image is displayed in the image display area 310, In the result display area 320, at least one of an analysis result of the body temperature of the object in the image, an analysis result of the object's facial expression, or a determination result of the object's febrile illness may be displayed. As another example, as shown in FIG. 3D, when the display screen 300 includes a result display area 320, the result display area 320 includes the analysis result of the body temperature of the object in the image and the analysis of the object's facial expression. At least one of a result or a result of determining a febrile illness of an object may be displayed, respectively.

According to the present disclosure, the computer device 100 can more accurately determine febrile illness using various algorithms. Therefore, the computer device 100 can effectively determine febrile diseases that are difficult to detect by simply measuring body temperature. At this time, the computer device 100 may notify the detection result of the febrile illness by displaying at least one of an image or an algorithm result through a graphical user interface. This will enable immediate action against febrile illnesses. For example, even in cases where it is difficult for children and infants to express their opinions, febrile diseases can be detected with higher accuracy, allowing immediate action.

In short, the present disclosure provides a computer device 100 equipped with various algorithms for determining febrile illness and a method thereof.

The method of the computer device 100 of the present disclosure includes acquiring an image through at least one camera module, and determining febrile illness of at least one object in the image using a plurality of algorithms together. can do.

According to various embodiments, determining a febrile illness includes detecting an object in an image, and determining a febrile illness by analyzing the object when the body temperature of the object exceeds a predetermined reference value. can do.

According to various embodiments, the object may include a human face.

According to various embodiments, determining a febrile illness by analyzing an object may include analyzing a facial expression of the object and determining a febrile illness based on the facial expression.

According to various embodiments, the step of analyzing the facial expression of an object includes extracting feature points related to the expression from the object, checking location information about the corners of the eyes and mouth through feature analysis of the feature points, and determining the location of the corners of the eyes and mouth. Based on the information, it may include detecting the shape of the corner of the eye and the corner of the mouth, and determining whether the facial expression is a negative facial expression according to the shape.

According to various embodiments, the method of the computer device 100 may further include providing a display screen 300 having at least one display area 310 or 320 through a graphical user interface.

According to various embodiments, the display screen 300 may include an image display area 310 for displaying an image or displaying the result of at least one of the algorithms on the image while displaying the image.

According to various embodiments, the display screen 300 may include at least one result display area 320 for displaying the result of at least one of the algorithms.

The computer device 100 of the present disclosure is connected to at least one camera module 110, a memory 140, and the camera module 110 and the memory 140, and acquires an image through the camera module 110, and a processor 150 configured to execute at least one command stored in the memory 140, wherein the processor 150 is configured to determine the febrile illness of at least one object in the image by using a plurality of algorithms together. It can be.

According to various embodiments, the processor 150 may be configured to determine a febrile illness by detecting an object in an image and analyzing the object when the body temperature of the object exceeds a predetermined reference value.

According to various embodiments, the object may include a human face.

According to various embodiments, the processor 150 may be configured to analyze the body's facial expression and determine a febrile illness based on the facial expression.

According to various embodiments, the processor 150 extracts feature points related to facial expressions from an object, checks location information about the corners of the eyes and mouth through feature analysis of the feature points, and based on the location information, It may be configured to detect the shapes of the corners of the eyes and the corners of the mouth, and determine whether the facial expression is a negative facial expression according to the shapes.

According to various embodiments, the processor 150 may be configured to provide a display screen 300 having at least one display area 310 or 320 through a graphical user interface.

According to various embodiments, the display screen 300 may include an image display area 310 for displaying an image or displaying the result of at least one of the algorithms on the image while displaying the image.

According to various embodiments, the display screen 300 may include at least one result display area 320 for displaying the result of at least one of the algorithms.

The above-described method may be provided as a computer program stored in a computer-readable recording medium for execution on a computer. Media may be used to continuously store programs executable on a computer, or to temporarily store them for execution or download. Additionally, the medium may be a variety of recording or storage means in the form of a single or several pieces of hardware combined. It is not limited to a medium directly connected to a computer system and may be distributed over a network. Examples of media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, And there may be something configured to store program instructions, including ROM, RAM, flash memory, etc. Additionally, examples of other media include recording or storage media managed by app stores that distribute applications, sites or servers that supply or distribute various other software, etc.

The methods, operations, or techniques of this disclosure may be implemented by various means. For example, these techniques may be implemented in hardware, firmware, software, or a combination thereof. Those skilled in the art will understand that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented in electronic hardware, computer software, or combinations of both. To clearly illustrate this interchange of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and design requirements imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementations should not be interpreted as causing a departure from the scope of the present disclosure.

In a hardware implementation, the processing units used to perform the techniques may include one or more ASICs, DSPs, digital signal processing devices (DSPDs), programmable logic devices (PLDs). ), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, electronic devices, and other electronic units designed to perform the functions described in this disclosure. , a computer, or a combination thereof.

Accordingly, the various illustrative logical blocks, modules, and circuits described in connection with this disclosure may be general-purpose processors, DSPs, ASICs, FPGAs or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, or It may be implemented or performed as any combination of those designed to perform the functions described in. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, such as a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other configuration.

For firmware and/or software implementations, techniques include random access memory (RAM), read-only memory (ROM), non-volatile random access memory (NVRAM), and PROM ( on computer-readable media such as programmable read-only memory (EPROM), electrically erasable PROM (EEPROM), flash memory, compact disc (CD), magnetic or optical data storage devices, etc. It may also be implemented as stored instructions. Instructions may be executable by one or more processors and may cause the processor(s) to perform certain aspects of the functionality described in this disclosure.

Although the above-described embodiments have been described as utilizing aspects of the presently disclosed subject matter in one or more standalone computer systems, the disclosure is not limited thereto and may also be implemented in conjunction with any computing environment, such as a network or distributed computing environment. there is. Furthermore, aspects of the subject matter of this disclosure may be implemented in multiple processing chips or devices, and storage may be similarly effected across the multiple devices. These devices may include PCs, network servers, and portable devices.

Although the present disclosure has been described in relation to some embodiments, various modifications and changes may be made without departing from the scope of the present disclosure as can be understood by those skilled in the art. Moreover, such modifications and changes should be considered to fall within the scope of the claims appended hereto.

Claims (15)

In the method of the computer device,
Acquiring an image through at least one camera module; and
Using multiple algorithms together, determining febrile illness of at least one object in the image
Including,
Methods of computer devices.
According to claim 1,
The step of determining the febrile illness is,
detecting the object in the image; and
When the body temperature of the object exceeds a predetermined reference value, determining the febrile illness by analyzing the object
Including,
Methods of computer devices.
According to claim 2,
The object includes a human face,
Methods of computer devices.
According to claim 3,
The step of determining the febrile illness by analyzing the object includes:
Analyzing the facial expression of the object; and
Based on the facial expression, determining the febrile illness
Including,
Methods of computer devices.
According to claim 4,
The step of analyzing the facial expression of the object is,
extracting feature points related to the facial expression from the object;
Confirming location information about the corners of the eyes and mouth through feature analysis of the feature points;
Detecting the shapes of the corners of the eyes and the corners of the mouth based on the location information; and
Depending on the shape, determining whether the facial expression is a negative facial expression.
Including,
Methods of computer devices.
According to claim 1,
providing a display screen having at least one display area through a graphical user interface.
Containing more,
Methods of computer devices.
According to claim 6,
The display screen above is,
An image display area for displaying the image or displaying the results of at least one of the algorithms on the image while displaying the image
Including,
Methods of computer devices.
According to claim 6,
The display screen above is,
At least one result display area for displaying the results of at least one of the algorithms
Including,
Methods of computer devices.
In computer devices,
at least one camera module;
Memory; and
A processor connected to the camera module and the memory, acquiring an image through the camera module, and configured to execute at least one command stored in the memory,
The processor,
configured to use a plurality of algorithms together to determine febrile illness of at least one object in the image,
computer device.
According to clause 9,
The processor,
Detecting the object in the image,
configured to determine the febrile illness by analyzing the object when the body temperature of the object exceeds a predetermined reference value,
computer device.
According to claim 10,
The object includes a human face,
computer device.
According to claim 11,
The processor,
Analyzing the facial expression of the object,
configured to determine the febrile illness based on the facial expression,
computer device.
According to claim 12,
The processor,
Extracting feature points related to the facial expression from the object,
Through feature analysis of the feature points, location information about the corners of the eyes and mouth is confirmed,
Based on the location information, detect the shape of the corner of the eye and the corner of the mouth,
configured to determine, according to the shape, whether the facial expression is a negative facial expression,
computer device.
According to clause 9,
The processor,
configured to provide a display screen having at least one display area through a graphical user interface,
computer device.
According to claim 14,
The display screen above is,
An image display area for displaying the image or displaying the result of at least one of the algorithms on the image while displaying the image, or
At least one result display area for displaying the results of at least one of the algorithms
Containing at least one of
computer device.