CN112008740A - Morning check robot and use method thereof - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 33
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 22
- 230000036760 body temperature Effects 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 8
- 238000007689 inspection Methods 0.000 claims description 15
- 238000009529 body temperature measurement Methods 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 10
- 238000003745 diagnosis Methods 0.000 claims description 6
- 210000001061 forehead Anatomy 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 3
- 239000013589 supplement Substances 0.000 claims description 2
- 230000001502 supplementing effect Effects 0.000 claims description 2
- 210000000214 mouth Anatomy 0.000 abstract description 5
- 206010037660 Pyrexia Diseases 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 abstract description 2
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- 238000012360 testing method Methods 0.000 abstract description 2
- 208000020061 Hand, Foot and Mouth Disease Diseases 0.000 abstract 1
- 208000025713 Hand-foot-and-mouth disease Diseases 0.000 abstract 1
- 210000002105 tongue Anatomy 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 3
- 101100055496 Arabidopsis thaliana APP2 gene Proteins 0.000 description 2
- 101100016250 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) GYL1 gene Proteins 0.000 description 2
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0062—Arrangements for scanning
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0088—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for oral or dental tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
- A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
- A61B5/4542—Evaluating the mouth, e.g. the jaw
- A61B5/4552—Evaluating soft tissue within the mouth, e.g. gums or tongue
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Abstract
The invention relates to the technical field of disease detection equipment, in particular to a morning check robot and a using method thereof, wherein a morning check robot body is in communication connection with a cloud server, and the cloud server is in communication connection with three terminals of an APP (application) and a kindergarten management platform respectively; the three-terminal APP is a mobile phone APP program of the garden leader, the teacher terminal and the family leader; the kindergarten management platform is internally stored with personnel information and is bound with morning check equipment. The invention has the beneficial effects that: can realize the detection of common diseases such as body temperature, hand, oral cavity (like, fever, hand-foot-and-mouth disease etc.), the simultaneous testing result in time reaches kindergarten's management platform and three-terminal APP (kindergarten's end, teacher's end, kindergarten's end), and kindergarten's, teacher, head of a family can see child's health at any time, help the kindergarten to build perfect physical examination record.
Description
Technical Field
The invention relates to the technical field of disease detection equipment, in particular to a morning inspection robot and a using method thereof.
Background
At present, in the process of entering a kindergarten, the kindergarten mainly depends on manual detection of a health care doctor, detects the body temperature through a temperature measuring gun, and confirms the health condition of children by observing the face, the oral cavity and the hands of the children. The work is loaded down with trivial details complicacy, has not only increased the work burden of mr, and the artifical testing result also lets the head of a family occasionally not satisfied to there is the inspection slow, detects incomplete problem.
With the development of AI technology, artificial intelligence has gone into our lives and works in the trend of thunder and thunder dead jun. People feel the high efficiency and convenience of AI all the time, and convenience is brought. Such as: smart home, smart medical, unmanned car, "face brushing" payment, and so on. The morning examination robot is an intelligent morning examination solution for preschool education industry, the face recognition system, the high-precision tongue diagnosis technology and the AI evaluation system are integrated, artificial intelligence and big data technology are utilized, the robot is applied to daily work such as morning examination, attendance checking and teaching of a kindergarten, technical support is provided for teaching and management of the kindergarten under the control of normalized epidemic situation, and the problem existing in the conventional artificial morning examination can be well solved.
Disclosure of Invention
The invention provides a morning examination robot and a using method thereof, aiming at overcoming the defects of tedious work and low efficiency of manual morning examination in the prior art.
The invention is realized by the following technical scheme:
the utility model provides a robot is examined in morning, examines robot body, three-terminal APP, kindergarten management platform and high in the clouds server, its characterized in that including morning:
the morning examination robot body is in communication connection with a cloud server, and the cloud server is in communication connection with the three-terminal APP and the kindergarten management platform respectively;
the three-terminal APP is a mobile phone APP program of the garden leader, the teacher leader and the family leader;
the kindergarten management platform is internally stored with personnel information and is bound with morning check equipment.
Furthermore, in order to better realize the invention, the morning examination robot body is of a structure that the exterior of the morning examination robot body is coated with a plastic shell, a 10.4-inch touch screen is installed on one side of the morning examination robot body, a RK3288 chip main board is installed inside the morning examination robot body, a face recognition camera, a card swiping module, a temperature measuring module, an image acquisition lens, a communication module and a loudspeaker are connected to the main board, and a face recognition algorithm and a disease detection algorithm are recorded in the flash of the main board.
Furthermore, in order to better realize the invention, the temperature measuring module takes a Heiman HTPA32x32dR2l5.0 chip as a main chip and communicates in a command-response mode through a serial port.
Further, in order to better implement the present invention, the image capturing lens is a Hi3516CV500 chip AI camera.
Further, in order to better implement the invention, a light supplement lamp is further arranged on the morning examination robot body and used for supplementing light during oral snapshot.
The use method based on the morning check robot comprises the following steps:
s1, when the child enters the garden, the face recognition camera of the robot body is checked in the morning to swipe the face or the card swiping module of the robot body is checked in the morning to swipe the card, and identity information is confirmed;
s2, after the identity information is confirmed, the image acquisition lens captures a photo and pushes the photo to a parent APP, and meanwhile, a loudspeaker of the morning inspection robot body broadcasts a corresponding class of the current child;
s3, detecting the human body of the current child by the morning detection robot body, and broadcasting cautions through a loudspeaker in a voice mode in the detection process;
s4, confirming whether the data result of the human body detection is abnormal through a disease detection algorithm;
s5, if the morning check result is normal, the user is allowed to enter the garden, and the morning check result is pushed to a parent end APP, if the morning check result is abnormal, after confirmation of a teacher or a health care doctor, whether the user enters the garden is judged according to the abnormal severity, and the morning check result is pushed to the parent end APP;
s6, repeating S1-S5 until the morning check of all the persons is completed.
Further, in order to better implement the present invention, in S2 or S5, the morning check robot body first uploads the health condition information of the child to the cloud server through the network, and the cloud server then forwards the information to the three-terminal APP and the kindergarten management platform.
Further, in order to better implement the present invention, the S3 specifically is:
s31, the morning examination robot body measures the forehead temperature of the child through the temperature measuring module, the temperature is continuously measured for 3 times at the speed of once every 100 milliseconds, and finally the average body temperature is obtained;
s32, the morning check robot body captures and captures hand and tongue images through an AI camera of a Hi3516CV500 chip, and when the images are captured and captured, feature points in the captured images are firstly extracted to judge whether the images are the needed hand and tongue images; and then, performing secondary processing, confirming the image proportion of the hand and the tongue, judging the image to be an effective image after the proportion meets the requirement, and otherwise, capturing the image again.
Further, in order to better implement the present invention, in S4, a hand diagnosis algorithm and a tongue diagnosis algorithm which are trained by a model are integrated in the morning examination robot body, and the color of the collected image is extracted, analyzed and compared, so as to determine the health condition of the child.
The invention has the beneficial effects that:
the morning examination robot can effectively assist preschool education institutions in park growth and teachers in executing morning examination and disease control work required by the national ministry of health, and compared with the traditional morning examination, the intelligent screening standard is more rigorous and objective. Through the acquisition and analysis processing of images, common infant diseases such as hand-foot-mouth and abnormal body temperature can be effectively detected, the kindergarten is helped to complete morning examination work, and a health file is built.
The invention adopts a plastic shell and a cartoon image, and is matched with an infrared temperature measurement module, a face recognition camera, an image acquisition camera, a face recognition algorithm and a common disease detection algorithm to realize the detection of common diseases (such as fever, hand-foot-mouth disease and the like) of body temperature, hands, oral cavity and the like, and simultaneously, the detection result is timely transmitted to a kindergarten management platform and three-terminal APP (a kindergarten terminal, a teacher terminal and a family terminal), and the kindergarten, the teacher and parents can see the health condition of children at any time, thereby helping the kindergarten build perfect physical examination records.
At present, the common disease examination equipment for children basically adopts a fixed auxiliary component to help the children to limit hands, mouths and the like at specific positions so as to facilitate examination, the contact type auxiliary mode easily causes cross infection of children infectious diseases, and not only does not prevent diseases, but also causes disease expansion. The invention adopts a 0-contact mode to realize the detection of common diseases of children, and in order to ensure the accuracy of the detection, the validity verification of a human body inspection part is adopted, namely the detection of common diseases is carried out only after the part is verified to be an effective inspection part.
Drawings
FIG. 1 is a schematic diagram of a product structure of a morning check robot according to the present invention;
FIG. 2 is a flowchart of a method for using the morning check robot according to the present invention.
In the figure, the position of the upper end of the main shaft,
1. the system comprises a morning inspection robot body, 2, three-terminal APPs, 3, a kindergarten management platform, 4 and a cloud server.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "middle", "upper", "lower", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings or orientations or positional relationships conventionally laid out when products of the present invention are used, and are only used for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal", "vertical" and the like do not imply that the components are required to be absolutely horizontal or pendant, but rather may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present invention, it should be noted that the terms "disposed," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected unless otherwise explicitly stated or limited. Either mechanically or electrically. They may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Fig. 1-2 illustrate an embodiment of the present invention, which is a morning check robot and a method for using the same.
As shown in fig. 1, the morning inspection robot of this embodiment comprises morning inspection robot body 1, three-terminal APP2, kindergarten management platform 3 and cloud server 4, and morning inspection robot hardware uses the plastic shell, adopts industrial level RK3288 chip mainboard, collocation 10.4 cun touch-sensitive screen, face identification camera, the module of punching the card, infrared temperature measurement module, image acquisition camera lens, high tone quality loudspeaker, and face identification algorithm and common disease detection algorithm. After children enter the garden and are identified through face recognition or card swiping, body temperature measurement is carried out through the infrared temperature measurement module, information collection of faces, oral cavities and hands of the children is carried out through the image collecting lens, and the health conditions of the children are analyzed and confirmed through an embedded disease detection algorithm. Meanwhile, the health condition of the child is transmitted to the cloud server of the loving baby through the network and then transmitted to the kindergarten management platform and three terminals (a kindergarten terminal, a teacher terminal and a preschool terminal).
The morning examination robot adopts an open-view face recognition algorithm to recognize faces of 3-6 years old and confirms identity information of children to check attendance; an infrared temperature measurement module is adopted for body temperature measurement, the measurement distance reaches 30-50 cm, and the measurement temperature is accurate to +/-0.3 ℃; and an AI camera is adopted to collect information of tongue, hands and the like, and the collected picture information is analyzed and processed through a common disease detection algorithm to confirm the health condition. In order to avoid the inconvenience of card punching, the morning check robot can also perform identity authentication in a fingerprint identification mode, and the temperature measurement module in the embodiment takes a Heiman HTPA32x32dR2l5.0 chip as a main chip and communicates in a command-response mode through a serial port. The host sends a command packet, the module checks and analyzes the command packet after receiving the command packet, and then replies to the host with a response packet.
As shown in fig. 2, the morning check robot of the present embodiment uses the following method:
firstly, when a child enters a garden, a face recognition camera of the robot body 1 is checked in the morning or a card swiping module of the robot body 1 is checked in the morning to swipe a card, and identity information is confirmed;
secondly, after the identity information is confirmed, the image acquisition lens captures photos and pushes the photos to parents APP, and meanwhile, a loudspeaker of the morning inspection robot body 1 broadcasts the corresponding class of the current child;
thirdly, the morning examination robot body 1 carries out human body detection on the current child, and a horn broadcasts cautionary items in a voice mode in the detection process;
fourthly, confirming whether the data result of the human body detection is abnormal or not through a disease detection algorithm;
fifthly, if the morning check result is normal, the user is allowed to enter the garden, and the morning check result is pushed to a parental terminal APP, if the morning check result is abnormal, the user can judge whether the user enters the garden according to the abnormal severity after confirmation of a teacher or a health care doctor, and the morning check result is pushed to the parental terminal APP;
and finally, repeating the steps until the morning check of all the personnel is completed.
Specifically, the specific way of pushing the body information to the hometown APP is that the morning-check robot body 1 uploads the health condition information of the child to the cloud server 4 through the network, and the cloud server 4 forwards the information to the three-terminal APP2 and the kindergarten management platform 3. Human body detection of the morning detection robot comprises body temperature detection and common disease detection.
The body temperature detection of the temperature measurement module is specifically as follows:
1. the temperature measurement module takes a Heiman HTPA32x32dR2l5.0 chip as a main chip and communicates in a command-response mode through a serial port. The host sends a command packet, the module checks and analyzes the command packet after receiving the command packet, and then replies to the host with a response packet.
2. The temperature measurement module supports a body temperature mode and an object temperature mode, the morning inspection robot measures forehead temperature in a body temperature mode, the temperature is obtained when the face is identified and measured, the temperature is continuously measured for 3 times (the temperature is obtained every 100 milliseconds), and finally the average body temperature is obtained.
3. When the body temperature is tested, the distance between the forehead and the temperature measuring probe is within the range of 30 cm-60 cm, the distance is farther in the measuring range compared with that of a traditional temperature measuring gun, and the precision is higher.
The detection of common diseases is specifically as follows:
1. the morning inspection robot uses an Hi3516CV500 chip AI camera to acquire and snapshot images of hands, tongues and the like, and the special AI camera ensures the authenticity of the acquired images and is close to the normal color of a human body;
2. capturing images by image acquisition, wherein when the images are captured, firstly, feature points in the captured images are extracted, and whether the images are the images of a hand, a tongue and the like are needed is judged; then, secondary processing is carried out, image proportion conditions of hands, tongues and the like are confirmed, when the proportion meets requirements, the picture is judged to be an effective picture, and otherwise, the picture is grabbed again;
3. image recognition and detection, wherein the morning inspection robot integrates algorithms such as professional tongue diagnosis and the like, and the algorithms can extract, analyze and compare colors of images in pictures through tens of millions of model training, so that the health condition of children is judged.
Finally, the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and other modifications or equivalent substitutions made by the technical solutions of the present invention by those of ordinary skill in the art should be covered within the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solutions of the present invention.
Claims (9)
1. The utility model provides a morning examines robot, examines robot body (1), three-terminal APP (2), kindergarten management platform (3) and high in the clouds server (4) including morning, its characterized in that:
the morning examination robot body (1) is in communication connection with a cloud server (4), and the cloud server (4) is in communication connection with three terminals of APP (2) and a kindergarten management platform (3) respectively;
the three terminals APP (2) are mobile phone APP programs of a garden leader terminal, a teacher terminal and a family leader terminal;
personnel information is stored in the kindergarten management platform (3) and is bound with morning examination equipment.
2. Morning check robot according to claim 1, characterized in that:
the morning examination robot comprises a morning examination robot body (1), a 10.4-inch touch screen is installed on one side of the morning examination robot body (1), a RK3288 chip main board is installed inside the morning examination robot body (1), a face recognition camera, a card swiping module, a temperature measuring module, an image collecting lens, a communication module and a loudspeaker are connected to the main board, and a face recognition algorithm and a disease detection algorithm are recorded in flash of the main board.
3. Morning check robot according to claim 2, characterized in that:
the temperature measurement module takes a Heiman HTPA32x32dR2l5.0 chip as a main chip and communicates in a command-response mode through a serial port.
4. Morning check robot according to claim 2, characterized in that:
the image acquisition lens is a Hi3516CV500 chip AI camera.
5. Morning check robot according to claim 2, characterized in that:
the morning examination robot body (1) is further provided with a light supplement lamp for supplementing light during oral snapshot.
6. The use method of the morning check robot comprises the following steps
S1, when a child enters the garden, a face recognition camera of the robot body (1) is checked in the morning or a card swiping module of the robot body (1) is checked in the morning to swipe a card, and identity information is confirmed;
s2, after the identity information is confirmed, the image acquisition lens captures a photo and pushes the photo to a parent APP, and meanwhile, a loudspeaker of the morning inspection robot body (1) broadcasts the corresponding class of the current child;
s3, detecting the human body of the current child by the robot body (1) in the morning, and broadcasting cautions through a loudspeaker in a voice mode in the detection process;
s4, confirming whether the data result of the human body detection is abnormal through a disease detection algorithm;
s5, if the morning check result is normal, the user is allowed to enter the garden, and the morning check result is pushed to a parent end APP, if the morning check result is abnormal, after confirmation of a teacher or a health care doctor, whether the user enters the garden is judged according to the abnormal severity, and the morning check result is pushed to the parent end APP;
s6, repeating S1-S5 until the morning check of all the persons is completed.
7. Use of the morning check robot according to claim 6, characterized in that:
in S2 or S5, the morning check robot body (1) uploads the health condition information of the child to the cloud server (4) through the network, and the cloud server (4) forwards the information to the three terminals APP (2) and the kindergarten management platform (3).
8. Use of the morning check robot according to claim 6, characterized in that:
the S3 specifically includes:
s31, the morning examination robot body (1) measures the forehead temperature of the current child through a temperature measurement module, continuously measures the temperature for 3 times at the speed of once every 100 milliseconds, and finally obtains the average body temperature;
s32, the morning inspection robot body (1) acquires and captures hand and tongue images through an Hi3516CV500 chip AI camera, and when the images are acquired and captured, characteristic points in the acquired images are extracted to judge whether the images are the required hand and tongue images; and then, performing secondary processing, confirming the image proportion of the hand and the tongue, judging the image to be an effective image after the proportion meets the requirement, and otherwise, capturing the image again.
9. Use of the morning check robot according to claim 6, characterized in that:
in the S4, the morning examination robot body (1) is integrated with a hand diagnosis algorithm and a tongue diagnosis algorithm which are trained by a model, and the color of the collected image is extracted, analyzed and compared, so that the health condition of the child is judged.
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| CN202010933965.1A CN112008740A (en) | 2020-09-08 | 2020-09-08 | Morning check robot and use method thereof |
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| CN202010933965.1A CN112008740A (en) | 2020-09-08 | 2020-09-08 | Morning check robot and use method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113378759A (en) * | 2021-06-25 | 2021-09-10 | 深圳市妇幼保健院 | Oral examination method and system based on VR intelligent glasses |
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