Intelligent foot diagnosis instrument
Through the intelligent foot diagnosis instrument, the foot is fully photographed and image analysis is performed, and the foot disease is automatically diagnosed using artificial intelligence algorithms, which solves the problem of traditional foot diagnosis relying on naked eye observation, and improves the accuracy and efficiency of diagnosis.
Patent Information
- Application Number
- CN202510018588.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-07
- Publication Date
- 2025-05-02
AI Technical Summary
The traditional foot diagnosis process relies on the doctor's naked eye observation and empirical judgment, and it is impossible to take all-round photos of the feet and automatically diagnose foot diseases through image analysis.
Design an intelligent foot diagnosis instrument, including a detection barrel, a camera, an image analysis module and an artificial intelligence diagnosis module, take all-round photos of the feet through multiple cameras, combine image processing and artificial intelligence algorithms to analyze the shape, color, texture and other characteristics of the feet to automatically diagnose diseases.
It realizes all-round photography and automatic diagnosis of the feet, solves the problem that traditional foot diagnosis relies on naked eye observation and empirical judgment, and improves the accuracy and efficiency of the diagnosis.
Smart Images
Figure CN119908664A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of artificial intelligence technology, and specifically discloses an intelligent foot diagnosis instrument. Background Art
[0002] Traditional Chinese medicine believes that the human body is an organic whole and an open system. There is a certain correspondence between the internal organs and the surface tissues of the body. Visceral diseases can be sensed by the meridians and the pathological information can be reflected in the corresponding parts of the body surface. The theory of modern holography also proves the scientific nature of this traditional theory.
[0003] Foot diagnosis is the specific application of traditional Chinese medicine theory and modern holography theory in the diagnosis and treatment of diseases. Traditional foot diagnosis technology is based on the experience of practitioners of traditional Chinese medicine. It makes a pathological diagnosis by observing the color, texture, and keratin changes of different parts of the foot.
[0004] Traditional foot disease diagnosis usually relies on the doctor's naked eye observation and experience judgment, but this method is highly subjective and the diagnostic results are not accurate enough. With the development of medical imaging technology and artificial intelligence technology, the use of image analysis for disease detection has become increasingly important. However, there is currently a lack of equipment on the market that can take full-scale photos of the feet and automatically diagnose foot diseases through image analysis.
[0005] In view of this, the inventor provides an intelligent foot diagnosis instrument to solve the above problems. Summary of the invention
[0006] The purpose of the present invention is to solve the problem that the traditional foot care process relies on the doctor's naked eye observation and experience judgment, and there is no equipment that can take all-round photos of the feet and automatically diagnose foot diseases through image analysis.
[0007] In order to achieve the above-mentioned purpose, the basic scheme of the present invention provides an intelligent foot diagnosis instrument, including a detection barrel, an upper cover arranged on the top of the detection barrel and a base arranged on the bottom of the detection barrel, the upper cover is provided with a hole and a cavity for the foot to be inserted is formed in the detection barrel, a camera is provided on each side of the interior of the cavity, a main control board electrically connected to the camera, an image analysis module and an artificial intelligence diagnosis module electrically connected to the main control board are provided in the base, and a display module, a control module and a microphone electrically connected to the main control board are also provided on the top of the detection barrel.
[0008] Furthermore, a chamber for accommodating feet is formed inside the detection barrel.
[0009] Furthermore, a support plate for supporting the ankle to place the foot in an optimal shooting position is provided in the detection barrel.
[0010] Furthermore, at least one camera is provided on each side of the interior of the chamber of the detection barrel.
[0011] Furthermore, a fill light is provided inside the chamber of the detection barrel near the camera.
[0012] Furthermore, the barrel wall of the detection barrel is opaque.
[0013] Furthermore, a plurality of universal wheels are provided at the bottom of the base.
[0014] Furthermore, the image analysis module is equipped with the following image analysis and recognition method:
[0015] Step S1: Acquire images captured by a camera, and match images captured by at least six cameras frame by frame;
[0016] Step S2: Select the captured pictures, perform standardization operations on the pictures and save them;
[0017] Step S3: The standardized images are matched frame by frame again and uploaded to the artificial intelligence diagnosis module.
[0018] The principle and effect of this scheme are:
[0019] Compared with the prior art, the present invention can take photos of the foot from multiple angles and combine image processing and artificial intelligence algorithms to analyze the shape, color, texture and other characteristics of the foot to determine whether there is a disease. This solves the problem that the traditional foot diagnosis process relies on the doctor's naked eye observation and experience judgment, and there is no equipment that can take all-round photos of the foot and automatically diagnose foot diseases through image analysis. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.
[0021] Figure 1 A schematic diagram of an intelligent foot diagnosis instrument proposed in an embodiment of the present application is shown. DETAILED DESCRIPTION
[0022] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.
[0023] The figure marks in the drawings of the specification include: upper cover 1, detection barrel 2, base 3, image analysis module 4, artificial intelligence diagnosis module 5, main board 6, support plate 7, fill light 8, camera 9, display screen 10.
[0024] An intelligent foot diagnosis instrument, for example Figure 1 As shown:
[0025] The apparatus comprises a detection barrel 2, a base 3 is installed at the bottom of the detection barrel 2, an upper cover 1 is installed at the top of the detection barrel 2, and a hole is opened on the upper cover 1 to fit the inner edge of the detection barrel 2. A chamber for a foot to be inserted is formed in the detection barrel 2. In this embodiment, a single foot can be inserted into the chamber through the hole and the detection barrel 2 is an opaque structure. When the foot is placed in the detection barrel 2, it can be closed by the upper cover 1, so that a good uniform light environment is formed inside.
[0026] A support plate 7 is also installed in the detection barrel 2, the top of the support plate 7 is installed on the inner edge of the top of the detection barrel 2, and the bottom of the support plate 7 is inclined toward the other side of the detection barrel 2 and does not contact the bottom surface of the detection barrel 2. After the foot is placed in the detection barrel 2, the ankle part can be supported by the support plate 7, so that the foot is in the best shooting position.
[0027] Six cameras 9 are also installed in the detection barrel 2, and the six cameras 9 are respectively installed on the six surfaces inside the detection barrel 2. Specifically, the six cameras 9 are respectively installed in the six directions of the upper, lower, left, right, front and back of the detection barrel 2, so as to take a complete photo of the foot. When selecting the camera 9, a camera with a resolution of more than 2 million should be selected, and the horizontal field angle of the camera 9 should be more than 90 degrees during the installation process. In this embodiment, a fill light 8 is installed in the detection barrel 2 next to the six cameras 9, so as to form a completely shadow-free uniform light environment in the detection barrel 2. In other embodiments, 12 cameras 9 can also be installed to further take a complete foot image.
[0028] The base 3 is also equipped with a main control board electrically connected to the six cameras 9, an image analysis module 4 electrically connected to the main control board, and an artificial intelligence diagnosis module 5 electrically connected to the main control board. The main control board, as the core control part, receives the images taken by the six cameras 9. The photos taken by the cameras 9 are transmitted to the main control board, and the image analysis module 4 analyzes them to determine the quality of the image. If the quality does not meet the diagnostic requirements, it prompts to retake the image. The artificial intelligence diagnosis module 5 can perform preliminary analysis and digital conversion of the shape, color, texture, etc. of the foot through the transmitted photos.
[0029] Specifically, the image analysis module 4 is equipped with the following image analysis and recognition method:
[0030] Step S1: Acquire the images taken by the camera 9, and match the images taken by the six cameras 9 frame by frame;
[0031] Step S2: Select the captured pictures, perform standardization operations on the pictures and save them;
[0032] Step S3: The standardized images are matched frame by frame again and uploaded to the artificial intelligence diagnosis module 5.
[0033] In step S2, the operation of standardizing the image includes detecting the clarity of the image, correcting the image, adjusting the angle, cutting the image, and other processing.
[0034] In this embodiment, the artificial intelligence diagnosis module 5 is equipped with an artificial intelligence diagnosis method, which uses an artificial intelligence diagnosis algorithm to identify and diagnose the obtained standardized images and generate a diagnosis report. The diagnosis includes the following three categories: normal; sub-healthy, and reasonable suggestions are given according to the sub-health status; there may be problems, and it is recommended to go to the expert clinic for a follow-up visit. Specifically, the artificial intelligence diagnosis method is a deep learning algorithm.
[0035] A display module, a control module and a microphone electrically connected to the main control board are also installed on the top of the detection barrel 2. The display module is used to display the foot shape, the photos taken, and the feedback of the diagnosis results in real time. The control module can take photos through voice recognition "take a photo" or button mode. The button mode can be a physical button or can be operated through the corresponding button on the touch screen. The functions that can be performed by the control module include: image taking, repeated taking, image uploading, data query and consulting services, etc. The microphone can communicate with the platform through voice recognition and semantic recognition to consult relevant medical and health care knowledge
[0036] In this embodiment, four universal wheels are installed at the bottom of the base 3, which can facilitate movement and angle adjustment.
[0037] When the present invention is used, the user puts a single foot into the detection barrel 2. The camera 9 in the detection barrel 2 automatically takes images of the foot in six directions, and the images are transmitted to the image analysis module 4 for processing. The artificial intelligence diagnosis system analyzes the shape, color, texture and other characteristics of the foot through a preset algorithm to determine whether there is an abnormality;
[0038] If there are any abnormalities, the artificial intelligence diagnosis system will further analyze and generate a corresponding diagnosis report for reference by users or doctors.
[0039] Moreover, the diagnostic personnel of the present invention do not need to have professional experience in traditional Chinese medicine, and the diagnosis time is greatly shortened, and the disease analysis and judgment can be made quickly. At the same time, the operation is simple, and the diagnosis can be completed within 10 seconds by just putting the foot into the device without any operation. And as the number of users increases, the accuracy of diagnosis will continue to improve.
[0040] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.
Claims
1. An intelligent foot diagnosis instrument, characterized in that: The invention comprises a detection barrel, an upper cover arranged on the top of the detection barrel and a base arranged on the bottom of the detection barrel. The upper cover is provided with a hole and a cavity for feet to be inserted is formed in the detection barrel. A camera is provided on each side of the cavity. The base is provided with a main control board electrically connected to the camera, an image analysis module and an artificial intelligence diagnosis module electrically connected to the main control board. The top of the detection barrel is also provided with a display module, a control module and a microphone electrically connected to the main control board.
2. The intelligent foot diagnosis instrument according to claim 1, characterized in that: A chamber for accommodating feet is formed inside the detection barrel.
3. An intelligent foot diagnosis instrument according to claim 1 or 2, characterized in that: The detection barrel is also provided with a support plate for supporting the ankle so that the foot is in the best shooting position.
4. The intelligent foot diagnosis instrument according to claim 1, characterized in that: At least one camera is arranged on each side of the chamber of the detection barrel.
5. The intelligent foot diagnosis instrument according to claim 1 or 4, characterized in that: A fill light is also provided inside the chamber of the detection barrel near the camera.
6. The intelligent foot diagnosis instrument according to claim 5, characterized in that: The barrel wall of the detection barrel is opaque.
7. The intelligent foot diagnosis instrument according to claim 1, characterized in that: A plurality of universal wheels are also arranged at the bottom of the base.
8. The intelligent foot diagnosis instrument according to claim 1, characterized in that: The image analysis module is equipped with the following image analysis and recognition method: Step S1: Acquire images captured by a camera, and match images captured by at least six cameras frame by frame; Step S2: Select the captured pictures, perform standardization operations on the pictures and save them; Step S3: The standardized images are matched frame by frame again and uploaded to the artificial intelligence diagnosis module.