CN114724267A - Body temperature detection method, storage medium and robot - Google Patents

Body temperature detection method, storage medium and robot Download PDF

Info

Publication number
CN114724267A
CN114724267A CN202011518586.2A CN202011518586A CN114724267A CN 114724267 A CN114724267 A CN 114724267A CN 202011518586 A CN202011518586 A CN 202011518586A CN 114724267 A CN114724267 A CN 114724267A
Authority
CN
China
Prior art keywords
body temperature
robot
target object
moving
area
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011518586.2A
Other languages
Chinese (zh)
Other versions
CN114724267B (en
Inventor
刘晓忠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen TCL Digital Technology Co Ltd
Original Assignee
Shenzhen TCL Digital Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen TCL Digital Technology Co Ltd filed Critical Shenzhen TCL Digital Technology Co Ltd
Priority to CN202011518586.2A priority Critical patent/CN114724267B/en
Publication of CN114724267A publication Critical patent/CN114724267A/en
Application granted granted Critical
Publication of CN114724267B publication Critical patent/CN114724267B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/20Checking timed patrols, e.g. of watchman
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/01Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command

Abstract

The application discloses a body temperature detection method, a storage medium and a robot, wherein the method comprises the steps of obtaining a temperature measurement instruction, determining a target object based on the temperature measurement instruction, and moving to the target object; and acquiring body temperature data of the target object, and outputting the acquired body temperature data. This application carries out body temperature measurement to the object of its inspection within range through the robot, avoids surveyor and surveyed person's closely contact like this to can improve body temperature measurement's security.

Description

Body temperature detection method, storage medium and robot
Technical Field
The application relates to the technical field of robots, in particular to a body temperature detection method, a storage medium and a robot.
Background
Body temperature measurement in life is a frequently occurring activity. Currently, the adopted body temperature measurement mode is generally to carry out body temperature measurement by holding a temperature measurement gun by hand or carry out body temperature measurement by an electronic thermometer and the like. However, the existing body temperature measurement method generally requires the measurer to be in close contact with the measured person, which brings infection risk to the measurer. For example, a cold virus carried by a person to be measured is transmitted to the person to be measured.
Disclosure of Invention
The technical problem to be solved by the present application is to provide a body temperature detection method, a storage medium, and a robot, which are directed to the deficiencies of the prior art.
In order to solve the technical problem, a first aspect of the embodiments of the present application provides a body temperature detection method, which is applied to a robot, and the method includes:
acquiring a temperature measuring instruction;
determining a target object based on the temperature measurement instruction, and moving to the target object, wherein the target object is in the inspection range of the robot;
and acquiring body temperature data of the target object, and outputting the acquired body temperature data.
The body temperature detection method is characterized in that the robot is provided with a voice pickup device; the acquiring of the temperature measurement instruction specifically comprises:
and receiving a voice instruction through the voice pickup device, and generating a temperature measuring instruction based on the voice instruction.
The body temperature detection method, wherein the determining a target object based on the temperature measurement instruction specifically includes:
acquiring a scene image through a shooting device configured by a robot, and acquiring area information of an area where a target object is located in the scene image;
and moving based on the area information until the area information meets a preset condition, wherein the area information is updated in real time in the moving process of the robot.
The body temperature detection method comprises the steps that the area information comprises the area size of an area where the target object is located and the positioning information of the area of the target object, and the preset condition comprises a first control condition determined based on the area size and a second control condition determined based on the positioning information.
The body temperature detection method, wherein the moving based on the region information until the region information meets a preset condition specifically includes:
acquiring an image size of a scene image, and determining a first moving direction of the robot based on the image size and the area size;
determining a second moving direction of the robot based on the positioning information;
and moving until the area information meets a preset condition based on the first moving direction and the second moving direction.
The body temperature detection method, wherein moving based on the first moving direction and the second moving direction until the region information meets a preset condition specifically includes:
moving along a first target direction until moving to a first target position, wherein the first target direction is included in a first moving direction and the second moving direction;
and moving the robot from the first target position to a second target position along a second target direction to move to the target object, wherein the second target direction is included in the first moving direction and the second moving direction, the second target direction is different from the first target direction, and when the robot is located at the second target position, the area information meets a preset condition.
The body temperature detection method, wherein moving based on the region information until the region information meets a preset condition specifically includes:
moving based on the region information;
when the preset distance is moved, acquiring a candidate scene image, and acquiring candidate area information of an area where a target object is located in the candidate scene image;
and taking the candidate area information as area information, and continuing to execute the step of moving based on the area information until the area information meets a preset condition.
In the body temperature detection method, the robot is provided with a body temperature detector, and the acquiring the body temperature data of the target object and outputting the acquired body temperature data specifically include:
and acquiring body temperature data of the target object through the body temperature detector, and outputting the acquired body temperature data.
A second aspect of embodiments of the present application provides a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps in the body temperature detection method as described in any one of the above.
A third aspect of embodiments of the present application provides a robot, including: a processor, a memory, and a communication bus; the memory has stored thereon a computer readable program executable by the processor;
the communication bus realizes connection communication between the processor and the memory;
the processor, when executing the computer readable program, implements the steps in the body temperature detection method as described in any one of the above.
Has the advantages that: compared with the prior art, the method comprises the steps of obtaining a temperature measurement instruction, determining a target object based on the temperature measurement instruction, and moving the target object; and acquiring body temperature data of the target object, and outputting the acquired body temperature data. This application carries out body temperature measurement to the object of its inspection within range through the robot, avoids surveyor and surveyed person's closely contact like this to can improve body temperature measurement's security.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without any inventive work.
Fig. 1 is a flowchart of a body temperature detection method provided in the present application.
Fig. 2 is a schematic flow chart of a body temperature detection method provided in the present application.
Fig. 3 is a schematic structural diagram of a robot provided in the present application.
Detailed Description
In order to make the objects, technical solutions and effects of the present application clearer and clearer, the present application is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein. In addition, it should be understood that, the sequence numbers and sizes of the steps in this embodiment do not mean the execution sequence, and the execution sequence of each process is determined by the function and the inherent logic of the process, and should not constitute any limitation on the implementation process of the embodiment of the present application.
The following further describes the content of the application by describing the embodiments with reference to the attached drawings.
The implementation provides a body temperature detection method, which is applied to a robot, wherein the robot acquires a temperature measurement instruction, determines a target object based on the temperature measurement instruction, moves to the target object, acquires body temperature data of the target object, and plays the acquired body temperature data. The body temperature data that can the automatic acquisition target correspond through the robot like this, can avoid surveyor and surveyed person's closely contact on the one hand, improve body temperature measuring's security, on the other hand need not surveyor and removes and occupy surveyor's both hands, brings the convenience for the surveyor.
In this embodiment, the robot is configured with a body temperature detector and a camera, wherein the body temperature detector is used for detecting the body temperature of a subject, and the camera is used for taking a scene image of a scene where the robot is located. In addition, the robot can further comprise a map building module, an obstacle avoidance function module, a visual identification module and the like, wherein the map building module is used for building a scene map of a robot inspection scene, the obstacle avoidance function is used for controlling the robot to avoid obstacles in the inspection scene, and the visual identification module is used for identifying object information in a scene image obtained by shooting through a shooting device. Further, the robot is configured with an operating system, e.g., an ROS system or the like; the body temperature detection method provided by the embodiment can be executed by coordinating operation of the components and functional modules configured by the operating system controller. Certainly, in practical applications, the body temperature detection method may also be configured in a robot as a body temperature detection module, and when body temperature detection is required, the robot starts the body temperature detection model to implement the body temperature detection method provided in this embodiment.
As shown in fig. 1 and fig. 2, the body temperature detection method provided in this embodiment may specifically include:
and S10, acquiring a temperature measuring instruction.
Specifically, the temperature measurement instruction is used for triggering the robot to perform an operation of measuring the body temperature of the object, wherein the measurement instruction may be sent to the robot by an external device, or formed by triggering a control key shot by the robot itself, or sent to the robot by a remote control device, or determined by the robot based on a voice instruction, and the like.
In one implementation of this embodiment, the thermometry instructions are determined based on voice instructions. Accordingly, the robot is equipped with a voice pickup (e.g., microphone, etc.) for picking up voice instructions so that the robot can be voice-controlled. Based on this, the acquiring of the temperature measurement instruction specifically includes:
and receiving a voice instruction through the voice pickup device, and generating a temperature measuring instruction based on the voice instruction.
Specifically, the voice instruction is picked up by the robot through a voice pickup device, and the voice instruction carries temperature measurement information. For example, the voice content corresponding to the voice instruction is "wisdom classmates to help measure a body temperature", wherein the body temperature measurement is the temperature measurement information in the voice instruction. Therefore, after receiving the voice command, the robot can analyze the received voice command and extract the voice content in the voice command so as to determine whether the voice command is a control command for measuring the temperature. Correspondingly, the process of generating the temperature measurement instruction based on the voice instruction may be: analyzing the voice instruction to obtain voice content carried by the voice instruction, detecting whether the voice content carries temperature measurement information or not, and if the voice content carries the temperature measurement information, generating a temperature measurement instruction based on the voice instruction; and if the temperature measurement information is not carried, the temperature measurement instruction is not generated.
By way of example: the method comprises the steps of obtaining a voice instruction A, analyzing the voice instruction in a mode of a language recognition model ASR or a natural language processing NLP and the like, wherein the analyzed voice content is ' wisdom classmates ' to help measure the body temperature once ', the voice content carries temperature measurement information ' measuring the body temperature once ', and therefore the temperature measurement instruction is generated based on the voice instruction, and the temperature measurement instruction can be:
Figure BDA0002848266570000061
and S20, determining a target object based on the temperature measurement instruction, and moving to the target object.
Specifically, the target object is within a patrol range of the robot, the robot can patrol the target object, wherein the target object can be any user within the patrol range or an appointed user within the patrol range, and when the target object is the appointed user within the patrol range, the temperature measurement instruction carries a user identifier of the appointed user, so that the robot determines the appointed user based on the user identifier, and the determined appointed user is used as the target object. For example, if the temperature measurement object in the temperature measurement instruction is minuscule, the minuscule is the user identifier of the specified user, and the specified user is minuscule, in other words, the minuscule is the target object. In addition, in order to enable the robot to find the specified user in the patrol range, the robot stores user characteristics (such as human face characteristic information) of the specified user, the specified user can be identified in the patrol range based on the user characteristics, when the specified user is identified, the specified user is taken as a target user and moves to the target user, and when the specified user is not identified, a temperature measurement instruction is prompted to be discarded, and prompt information is sent to prompt that the target object is not identified.
In one implementation manner of this embodiment, since the robot needs to move in the patrol range to move to the target object, the robot needs to preset a patrol map configured corresponding to the patrol range. The patrol map can be established when the robot is arranged in the patrol range for the first time, and the process construction process of the patrol map can be as follows: the robot scans a patrol area by an image pickup device (e.g., a camera, etc.) arranged therein, determines an obstacle (e.g., a wall, etc.) within the patrol area and each patrol area (e.g., a living room, a bedroom, etc.) in the patrol area, records the patrol area range and the position of the obstacle to form a patrol map, and marks each patrol area in the patrol map.
In an implementation manner of this embodiment, the determining a target object based on the temperature measurement instruction specifically includes:
acquiring a scene image through a shooting device configured by a robot, and acquiring area information of an area where a target object is located in the scene image;
and moving based on the area information until the area information meets a preset condition.
Specifically, the shooting device is connected based on the robot, and the robot can acquire a scene image of a scene where the robot is located through the shooting device, wherein the shooting device can be mounted on the robot, for example, a camera mounted on the robot by the shooting device, and the like. The shooting device can be started based on a starting instruction sent by the robot, wherein the starting instruction can be formed by the robot based on a temperature measuring instruction. In other words, after receiving the temperature measurement instruction, the robot starts the configured shooting device based on the temperature measurement instruction, and obtains the scene image of the scene where the robot is located through the shooting device. Therefore, the scene image is obtained by shooting the scene where the robot is located through the shooting device, and the object carried by the scene image is the object which is contained in the scene where the robot is located and is within the shooting range of the shooting device.
The region information is the region information of the image region corresponding to the target object in the scene image, and is used for reflecting the position and the located region size of the target object in the scene image, and the image region can be an image region in the scene image based on the region information, and the image region is the located region of the target object. The area information comprises area size and positioning information, the area size is used for reflecting the area size of the area where the target object is located, and the positioning information is used for reflecting the position of the area where the target object is located in the scene image. The positioning information of the area where the target object is located may be coordinate information of a center point of the area where the target object is located, may also be coordinate information of an upper left corner of the area where the target object is located, may also be coordinate information of an upper right corner of the area where the target object is located, and the like; the size of the region in which the target object is located may be a region width and a region height of an image region including the region in which the target object is located. In a specific implementation manner of this embodiment, the positioning information is coordinate information of a central point of an area where the target object is located, so as to determine whether the area where the target object is located in the center of the scene image.
For example, the region information includes coordinate information of a center point of a region where the target object is located, and a region width and a region height of the region where the target object is located, and then when the region information is { (200 ),50,60}, it is described that coordinates of the center point of the region where the target object is located are (200 ), the region width is 50, and the region height is 60, so that the image region determined by the region information is an image region centered on a pixel point of which the coordinate point in the scene image is (200 ), the width is 50, and the height is 60.
The preset condition is used for determining whether the robot moves to the target object, when the area information meets the preset condition, the robot is indicated to move to the target object, and when the area information does not meet the preset condition, the robot is indicated not to move to the target object. In other words, the fact that the robot moves to the target object means that the robot moves to a target position, when the robot is located at the target position, the target object is carried in a scene image shot by the robot, and the area information of an area where the target object is located in the scene image meets a preset condition.
In one implementation manner of this embodiment, the preset conditions include a first control condition and a second control condition, the first control condition is determined based on the area size, and the second control condition is determined based on the positioning information; the area information satisfies the preset condition that the area information satisfies the first control condition and the second control condition, when the area information does not satisfy the first control condition, the area information does not satisfy the preset condition, when the area information does not satisfy the second control condition, the area information does not satisfy the preset condition, and certainly, when the area information does not satisfy the first control condition and does not satisfy the second control condition, the area information does not satisfy the preset condition.
In one implementation manner of this embodiment, when the robot measures the temperature of the target object, the robot needs to be located in front of the target object, and thus the first control condition is used to define the front-back distance between the robot and the target object, and the second control condition is used to define the left-right distance between the robot and the target object, where the left-right distance is the distance between the central axis of the robot and the central axis of the robot in the left-right direction. In other words, when the area information satisfies the first control condition, it indicates that the front-rear distance between the robot and the target object satisfies the front-rear requirement, and when the area information satisfies the second control condition, it indicates that the left-right distance between the robot and the target object satisfies the left-right requirement. The front-back requirement and the left-right requirement may be preset, for example, the front-back requirement is that the robot is located 75cm in front of the target object, and the left-right requirement is that the left-right distance is 0.
In one implementation manner of this embodiment, the first control condition is that a ratio of the area size to the image size of the scene image satisfies a first defining condition, for example, the first defining condition is that the ratio of the area size to the image size is equal to a preset threshold (e.g., 1/2, etc.). The second control condition is that the distance between the positioning information and the center point of the scene image satisfies a second limiting condition, for example, the positioning information is the center point of the area where the target object is located, and the second limiting condition is that the positioning information coincides with the center point of the scene image. For example: the image size of the scene image is 200 x 200, and the coordinates of the image center point are (100 ); the area information of the area where the target object is located is 100 × 100 in area size, and the positioning information is (100 ), so that the area information meets the first control condition and the second control condition, that is, the area information meets the preset condition.
In an implementation manner of this embodiment, the moving based on the area information until the area information satisfies a preset condition specifically includes:
acquiring an image size of a scene image, and determining a first moving direction of the robot based on the image size and the area size;
determining a second moving direction of the robot based on the positioning information;
and moving the mobile terminal based on the first moving direction and the second moving direction until the area information meets a preset condition.
Specifically, the first moving direction is determined based on the image size and the area size, and the area size of the area where the target object is located may be adjusted by moving in the first moving direction so as to make the area size of the area where the target object is located satisfy the first control condition. The second moving direction is determined by the positioning information, and the positioning information of the area where the target object is located can be adjusted by moving along the first moving direction, so that the positioning information of the area where the target object is located meets the second control condition. Thus, determining the moving path of the robot based on the first moving direction and the second moving direction can cause the robot to move to a target position where the area information satisfies the preset condition, i.e., cause the robot to move to the target object.
In one implementation of the present embodiment, the first control condition is that a ratio of the area size to the image size is equal to a preset threshold. Therefore, after the image size and the region size are obtained, the ratio of the region size to the image size is obtained, and the ratio is compared with a preset threshold value; if the ratio is smaller than the preset threshold, it indicates that the area where the target object is located is smaller than the scene image, and according to the camera imaging principle, when the area where the target object is located is smaller than the scene image, it indicates that the target object is far away from the camera, and therefore needs to move in a direction close to the target object, and at this time, the first moving direction is forward movement (i.e., movement in a direction toward the target object). On the contrary, if the ratio is greater than the preset threshold, the mobile device needs to move in a direction away from the target object, and at this time, the first moving direction is a direction away from the target object (i.e., the mobile device moves in a direction away from the target object).
The second control condition is that the positioning information coincides with the image center point of the area image, wherein the positioning information is the area center point of the area where the target object is located. Therefore, after the positioning information is acquired, the image center point of the scene image can be acquired, whether the positioning information is the same as the image center point or not is judged, if the positioning information is not the same as the image center point, the positioning information is detected to be in a position relation with the image center point, if the positioning information is positioned on the left side of the image center point, the second moving direction is to the left (namely, to the right of the target object), and if the positioning information is positioned on the right side of the image center point, the second moving direction is to the right (namely, to the right and left of the target object).
In an implementation manner of this embodiment, moving based on the first moving direction and the second moving direction until the area information satisfies a preset condition specifically includes:
moving along a first target direction until moving to a first target position, wherein the first target direction is included in a first moving direction and the second moving direction;
and moving the robot from the first target position to a second target position along a second target direction to move to the target object, wherein the second target direction is included in the first moving direction and the second moving direction, the second target direction is different from the first target direction, and when the robot is located at the second target position, the area information meets a preset condition.
Specifically, the first target direction may be a first moving direction, and may also be a second moving direction, and the second target direction may be a first moving direction, and may also be a second moving direction, but the first target moving direction is different from the second target moving direction. For example, when the first target direction is the first moving direction, the second target direction is the second moving direction; when the first target direction is the second moving direction, the second target direction is the first moving direction.
The first target position is that when the robot shoots a scene image at the first target position, the area information of an area where a target object in the scene image is located meets a target control condition, wherein the target control condition is that an area parameter item used for determining a first target direction meets a control condition corresponding to the area parameter item, the area parameter item is included in the area information, and the control condition is included in a preset condition. The area information includes an area size and positioning information such that the area parameter item is the area size or the positioning information, the prediction condition includes a first control condition and a second control condition, and when the area parameter item is the area size, the control condition is the first control condition; when the area parameter item is the positioning information, the control condition is a second control condition. The second target position is that when the robot shoots the scene image at the second target position, the area information of the area where the target object in the scene image is located meets the target preset condition. In other words, when the robot moves to the second target position, which indicates that the robot has moved to the target object, the body temperature measurement may be performed on the target object to obtain the body temperature data of the target object.
In an implementation manner of this embodiment, since the relative position between the robot and the target object changes during the moving process of the robot, the image area occupied by the target object in the scene image changes, and accordingly, the size of the area of the image where the target object is located also changes. Therefore, moving based on the area information until the area information meets the preset condition specifically includes:
moving based on the region information;
when the target object moves for a preset distance, acquiring a candidate scene image, and acquiring candidate region information of a region where the target object is located in the candidate scene image;
and taking the candidate area information as area information, and continuing to execute the step of moving based on the area information until the area information meets a preset condition. .
Specifically, the preset distance may be preset, for example, 0.5 meter, 0.8 meter, etc., and the preset distance may be determined according to actual requirements. In other words, the robot continuously acquires the candidate scene images, and for any two candidate scene images, the candidate scene image a and the candidate scene image B are adjacent, and the distance between the candidate position where the robot is located when the candidate scene image a is acquired and the candidate position where the robot is located when the candidate scene image B is acquired is the preset distance, wherein the adjacent candidate scene images do not exist between the candidate scene image a and the candidate scene image B when the candidate scene image a and the candidate scene image B are arranged according to the shooting order.
When the candidate scene image is obtained, obtaining candidate region information of a region where the target object is located in the candidate scene image, wherein the obtaining process of the candidate region information is the same as the obtaining process of the region information, and the obtaining process is not repeated here. After the candidate area information is acquired, the candidate area information is used as area information to update the area information; and updating the first moving direction and the second moving direction based on the area information after the area information is updated.
As can be seen from the above description, when the robot moves in the first moving direction and the second moving direction, the area information is updated every time the robot moves a predetermined distance, and the first moving direction and the second moving manner are updated based on the area information. Therefore, when the area information is based on the first moving direction and the second moving direction, a target moving direction may be selected from the first moving direction and the second moving direction, and the robot may move the target along the target moving direction by a predetermined distance.
Based on this, the moving based on the first moving direction and the second moving direction until the area information satisfies a preset condition specifically includes:
acquiring a target moving direction in the first moving direction and the second moving direction, and moving a preset distance along the target moving direction;
acquiring a candidate scene image, acquiring candidate region information of a region where a target object is located in the candidate scene image, and taking the candidate region information as region information;
determining a first candidate moving direction and a second candidate moving direction based on the region information, and taking the first candidate moving direction as the first moving direction and the second candidate moving direction as the second moving direction;
and continuing to execute the step of acquiring a target moving direction in the first moving direction and the second moving direction until the area information meets a preset condition so as to move to the target object.
Specifically, the target moving direction is included in a first moving direction and a second moving direction, for example, the target moving direction is the first moving direction, or the target moving direction is the second moving direction. In addition, when the target moving direction is obtained in the first moving direction and the second moving direction repeatedly, the moving directions of the targets selected in two adjacent selection operations may be the same, for example, the moving direction of the target selected in the first selection operation in the two adjacent selection operations is the first moving direction, and the moving direction of the target selected in the second selection operation in the two adjacent selection operations is also the first moving direction.
And S30, acquiring the body temperature data of the target object, and outputting the acquired body temperature data.
Specifically, the body temperature data is data collected by the robot and used for reflecting the body temperature of the target object, and for example, the body temperature data is 37 degrees celsius, 38.5 degrees celsius, and the like. The body temperature data can be acquired through a body temperature detector of the robot device, in other words, the robot is provided with the body temperature detector, when the body temperature data of the target object needs to be acquired, the body temperature detector is started, and the body temperature data of the target object is acquired through the body temperature detector.
After the body temperature data is acquired, outputting the acquired body temperature data refers to reflecting the acquired body temperature data to a user, wherein an output mode of outputting the acquired body temperature data may include an output mode of displaying the body temperature data on a display device, an output mode of outputting the body temperature data through voice playing, and the like. In this embodiment, the robot may be configured with an output mode for displaying the body temperature data on the display device and an output mode for outputting the body temperature data through voice playing, and the output mode is selected according to actual requirements, for example, the output mode for displaying the body temperature data on the display device is adopted. In addition, the display device for displaying the body temperature data may be a display screen of the robot itself, or may be an external display device (e.g., a liquid crystal display, a smart television, etc.) connected to the robot. The voice playing device for playing the body temperature data by voice can play the body temperature data for the voice playing device configured for the robot, and can also play the body temperature data by the voice playing device connected with the robot.
Certainly, it should be noted that, in practical applications, after the obtained body temperature data is played, the body temperature data may be stored locally in the robot, or the body temperature data may be sent to a cloud or an external device, so as to store the body temperature data.
In summary, the present embodiment provides a body temperature detecting method, where the method includes acquiring a temperature measurement instruction, determining a target object based on the temperature measurement instruction, and moving to the target object; and acquiring the body temperature data of the target object, and outputting the acquired body temperature data. This application carries out body temperature measurement to the object of its inspection within range through the robot, avoids surveyor and surveyed person's closely contact like this to can improve body temperature measurement's security.
Based on the body temperature detection method, the present embodiment provides a computer-readable storage medium, which stores one or more programs that can be executed by one or more processors to implement the steps in the body temperature detection method according to the above embodiment.
Based on the body temperature detection method, the present application further provides a robot, as shown in fig. 3, which includes at least one processor (processor) 20; a display screen 21; and a memory (memory)22, and may further include a communication Interface (Communications Interface)23 and a bus 24. The processor 20, the display 21, the memory 22 and the communication interface 23 can communicate with each other through the bus 24. The display screen 21 is configured to display a user guidance interface preset in the initial setting mode. The communication interface 23 may transmit information. The processor 20 may call logic instructions in the memory 22 to perform the methods in the embodiments described above.
Furthermore, the logic instructions in the memory 22 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product.
The memory 22, which is a computer-readable storage medium, may be configured to store a software program, a computer-executable program, such as program instructions or modules corresponding to the methods in the embodiments of the present disclosure. The processor 20 executes the functional application and data processing, i.e. implements the method in the above-described embodiments, by executing the software program, instructions or modules stored in the memory 22.
The memory 22 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the robot, and the like. Further, the memory 22 may include a high speed random access memory and may also include a non-volatile memory. For example, a variety of media that can store program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, may also be transient storage media.
In addition, the specific processes loaded and executed by the storage medium and the instruction processors in the mobile terminal are described in detail in the method, and are not stated herein.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A body temperature detection method is applied to a robot, and comprises the following steps:
acquiring a temperature measurement instruction;
determining a target object based on the temperature measurement instruction, and moving to the target object, wherein the target object is in the inspection range of the robot;
and acquiring body temperature data of the target object, and outputting the acquired body temperature data.
2. The method for detecting body temperature according to claim 1, wherein the robot is provided with a voice pickup; the acquiring of the temperature measurement instruction specifically comprises:
and receiving a voice instruction through the voice pickup device, and generating a temperature measuring instruction based on the voice instruction.
3. The method for detecting body temperature according to claim 1, wherein the determining a target object based on the thermometry instruction specifically includes:
acquiring a scene image through a shooting device configured by a robot, and acquiring area information of an area where a target object is located in the scene image;
and moving based on the area information until the area information meets a preset condition, wherein the area information is updated in real time in the moving process of the robot.
4. The method for detecting body temperature according to claim 1, wherein the area information includes an area size of an area where the target subject is located and location information of the area of the target subject, and the preset condition includes a first control condition determined based on the area size and a second control condition determined based on the location information.
5. The method for detecting body temperature according to claim 4, wherein the moving based on the region information until the region information satisfies a preset condition specifically includes:
acquiring an image size of a scene image, and determining a first moving direction of the robot based on the image size and the area size;
determining a second moving direction of the robot based on the positioning information;
and moving the mobile terminal based on the first moving direction and the second moving direction until the area information meets a preset condition.
6. The method for detecting body temperature according to claim 5, wherein moving based on the first moving direction and the second moving direction until the area information satisfies a preset condition specifically includes:
moving along a first target direction until moving to a first target position, wherein the first target direction is included in a first moving direction and the second moving direction;
and moving the robot from the first target position to a second target position along a second target direction to move to the target object, wherein the second target direction is included in the first moving direction and the second moving direction, the second target direction is different from the first target direction, and when the robot is located at the second target position, the area information meets a preset condition.
7. The method for detecting body temperature according to claim 3, wherein moving based on the region information until the region information satisfies a preset condition specifically includes:
moving based on the region information;
when the target object moves for a preset distance, acquiring a candidate scene image, and acquiring candidate region information of a region where the target object is located in the candidate scene image;
and taking the candidate area information as area information, and continuing to execute the step of moving based on the area information until the area information meets a preset condition.
8. The method for detecting body temperature according to claim 1, wherein the robot is provided with a body temperature detector, and the acquiring body temperature data of the target object and outputting the acquired body temperature data specifically include:
and acquiring body temperature data of the target object through the body temperature detector, and outputting the acquired body temperature data.
9. A computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to perform the steps of the method for body temperature detection according to any one of claims 1-8.
10. A robot, comprising: a processor, a memory, and a communication bus; the memory has stored thereon a computer readable program executable by the processor;
the communication bus realizes connection communication between the processor and the memory;
the processor, when executing the computer readable program, implements the steps in the method for body temperature detection according to any one of claims 1-8.
CN202011518586.2A 2020-12-21 2020-12-21 Body temperature detection method, storage medium and robot Active CN114724267B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011518586.2A CN114724267B (en) 2020-12-21 2020-12-21 Body temperature detection method, storage medium and robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011518586.2A CN114724267B (en) 2020-12-21 2020-12-21 Body temperature detection method, storage medium and robot

Publications (2)

Publication Number Publication Date
CN114724267A true CN114724267A (en) 2022-07-08
CN114724267B CN114724267B (en) 2024-03-12

Family

ID=82230156

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011518586.2A Active CN114724267B (en) 2020-12-21 2020-12-21 Body temperature detection method, storage medium and robot

Country Status (1)

Country Link
CN (1) CN114724267B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102681541A (en) * 2011-03-10 2012-09-19 上海方伴自动化设备有限公司 Method for image recognition and vision positioning with robot
CN103697882A (en) * 2013-12-12 2014-04-02 深圳先进技术研究院 Geographical three-dimensional space positioning method and geographical three-dimensional space positioning device based on image identification
CN110737295A (en) * 2019-11-27 2020-01-31 广东美的制冷设备有限公司 Temperature user adjusting method and device based on air-conditioning robot
US20200101855A1 (en) * 2018-10-01 2020-04-02 Samsung Electronics Co., Ltd. Robot with vehicle charging
CN111912530A (en) * 2020-07-24 2020-11-10 歌尔科技有限公司 Body temperature measuring method, body temperature measuring device, temperature measuring system and readable storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102681541A (en) * 2011-03-10 2012-09-19 上海方伴自动化设备有限公司 Method for image recognition and vision positioning with robot
CN103697882A (en) * 2013-12-12 2014-04-02 深圳先进技术研究院 Geographical three-dimensional space positioning method and geographical three-dimensional space positioning device based on image identification
US20200101855A1 (en) * 2018-10-01 2020-04-02 Samsung Electronics Co., Ltd. Robot with vehicle charging
CN110737295A (en) * 2019-11-27 2020-01-31 广东美的制冷设备有限公司 Temperature user adjusting method and device based on air-conditioning robot
CN111912530A (en) * 2020-07-24 2020-11-10 歌尔科技有限公司 Body temperature measuring method, body temperature measuring device, temperature measuring system and readable storage medium

Also Published As

Publication number Publication date
CN114724267B (en) 2024-03-12

Similar Documents

Publication Publication Date Title
US11392146B2 (en) Method for detecting target object, detection apparatus and robot
WO2019205850A1 (en) Pose determination method and device, intelligent apparatus, and storage medium
JP5538667B2 (en) Position / orientation measuring apparatus and control method thereof
EP3771198B1 (en) Target tracking method and device, movable platform and storage medium
EP3813014B1 (en) Camera localization method, terminal and storage medium
EP1596332A2 (en) Information processing method and apparatus for finding position and orientation of targeted object
US10325336B2 (en) Information processing apparatus, information processing method, and program
US11238653B2 (en) Information processing device, information processing system, and non-transitory computer-readable storage medium for storing program
CN107687841A (en) A kind of distance-finding method and device
CN112258567B (en) Visual positioning method and device for object grabbing point, storage medium and electronic equipment
CN108416285A (en) Rifle ball linkage surveillance method, apparatus and computer readable storage medium
US20210158560A1 (en) Method and device for obtaining localization information and storage medium
EP2708982A2 (en) Method for guiding controller to move to within recognizable range of multimedia apparatus, the multimedia apparatus, and target tracking apparatus thereof
KR102595787B1 (en) Electronic device and control method thereof
CN110096152B (en) Method, device, equipment and storage medium for positioning body part in space
US10509513B2 (en) Systems and methods for user input device tracking in a spatial operating environment
KR102487926B1 (en) Electronic device and method for measuring heart rate
CN114612786A (en) Obstacle detection method, mobile robot and machine-readable storage medium
EP3088983B1 (en) Moving object controller and program
CN113052907B (en) Positioning method of mobile robot in dynamic environment
CN110291771B (en) Depth information acquisition method of target object and movable platform
WO2022198508A1 (en) Lens abnormality prompt method and apparatus, movable platform, and readable storage medium
CN114724267B (en) Body temperature detection method, storage medium and robot
CN107952240B (en) Game control method and device realized by using selfie stick and computing equipment
KR101979246B1 (en) Method and apparatus for for calibrating sensor coordinate system with game zone

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant