Intelligent medical management system

Abstract

The invention relates to an intelligent medical management system which comprises a positive analysis mechanism, a data interception mechanism, a multi-mapping mechanism, a content analysis device and a deviation identification device. The intelligent level of medical management can be enhanced.

Description

Technical Field

[0001] The present invention relates to the field of smart medical care, and in particular to a smart medical care management system. Background Art

[0002] With the improvement of living standards, people pay more and more attention to their own health, and the intelligent level of medical care is increasingly required. For example, CN119132630A discloses an information push method and system based on smart medical big data, the method includes: for each user classification and project classification combination, calculating the activation rate of single-classification projects, using the weighted average method to calculate the activation rate of multiple single-classification projects to obtain the comprehensive project activation rate; according to the value of the activation rate of the single-classification project, setting the project activity factor; according to the number of project types involved by a single user, setting the user activity factor; according to the activation rate of the single-classification project, combining the project activity factor and the user activity factor, generating an optimization plan; by calculating the activation rate of the single-classification project, users and smart medical projects can be matched more accurately, taking into account the interests and needs of users, combining the characteristics of the project and the target user group, and more in line with the characteristics and preferences of different user groups, thereby improving the accuracy of push and user experience.

[0003] CN119132543A discloses a smart medical platform based on big data, which includes: a data acquisition module, a data analysis module, a referral decision-making assistance module, a comprehensive data sharing module, a health management monitoring module, an autonomous participation management module, and a library learning update module. Data analysis and artificial intelligence technology are used to optimize the patient's referral process to ensure that the patient can receive treatment in the most suitable medical institution. By combining the patient's individual disease development characteristics, the current treatment effect and the real-time data of medical resources in the region, efficient and accurate referral decision support is achieved. The present invention significantly improves the efficiency and accuracy of the medical referral process, while improving the patient's medical experience and treatment results, effectively solving problems such as uneven distribution of medical resources and complex referral processes, and is of great significance to the continuous optimization and development of the modern medical system.

[0004] However, since medical treatment involves multiple aspects, new technologies are always needed. Summary of the invention

[0005] In order to solve technical problems in related fields, the present invention provides an intelligent medical management system, which can detect the occupied area of ​​human skin color in multiple mapped pictures according to the distribution range of brightness values ​​corresponding to human skin color, and analyze the red and green components, black and white components and yellow and blue components corresponding to each pixel in the occupied area corresponding to the human skin color in the LAB space, wherein the human skin color occupies more than one area in the multiple mapped pictures, and the red and green components, black and white components, yellow and blue components, the number of each pixel in the occupied area corresponding to the human skin color and the coordinate values ​​corresponding to each pixel in the occupied area corresponding to the human skin color are input into an intelligent identification model in parallel to intelligently identify the uniformity levels of the skin color corresponding to the human skin color. The intelligent identification model is a feedforward neural network that has completed multiple trainings, so as to perform skin color distribution uniformity analysis on each block of the host's skin color, and provide key data for the identification of possible skin color deviations in different regions.

[0006] According to the present invention, a smart medical management system is provided, the system comprising: The front face analysis mechanism is arranged at the live video data collection end, and is used to issue a screen capture request when the front face of the host's face exists in the host's broadcast screen corresponding to the current moment, and otherwise, issue a request for continued analysis; A data capture mechanism is provided at the live video data collection end and connected to the front analysis mechanism, and is used to output the anchor broadcasting picture corresponding to the current moment as a real-time screenshot picture when receiving the picture capture request; A multiple mapping mechanism, which is arranged at the live video data acquisition end and connected to the data interception mechanism, is used to sequentially perform edge-preserving smoothing filtering processing, high-pass filtering sharpening processing, and image content enhancement processing based on logarithmic transformation on the received real-time screenshot images, so as to obtain and output corresponding multiple mapping images; A content analysis device is arranged at a live video data acquisition end and connected to the multiple mapping mechanism, comprising a feature analysis unit, a signal capture unit and a parameter judgment unit, wherein the signal capture unit is respectively connected to the feature analysis unit and the parameter judgment unit, and the content analysis device is used to detect the occupied area of ​​the human skin color in the multiple mapping pictures according to the distribution range of the brightness value corresponding to the human skin color, analyze the red and green components, the black and white components and the yellow and blue components respectively corresponding to each pixel in the occupied area corresponding to the human skin color in the LAB space, and input the red and green components, the black and white components, the yellow and blue components, the number of each pixel in the occupied area corresponding to the human skin color and the coordinate values ​​respectively corresponding to each pixel in the occupied area corresponding to the human skin color into the intelligent identification model in parallel to intelligently identify the uniformity level of the skin color corresponding to the human skin color, wherein the intelligent identification model is a feedforward neural network that has completed multiple trainings, and the occupied area of ​​the human skin color in the multiple mapping pictures is more than one; a deviation identification device connected to the content analysis device, and used to issue a skin color deviation identification request to trigger subsequent manual identification of skin color deviations between various occupied areas of the human skin color in multiple mapping images when the skin color uniformity levels corresponding to the human skin color are less than or equal to a preset level threshold; Among them, when the front of the host's face exists in the host's broadcast screen corresponding to the current moment, a screen capture request is issued, otherwise, a request for continued analysis is issued, including: when there is a human face object matching the host's front reference pattern in the host's broadcast screen corresponding to the current moment, it is determined that the front of the host's face exists in the host's broadcast screen corresponding to the current moment.

[0007] It can be seen that the present invention has at least the following three important inventive concepts: Firstly, a content analysis device including a feature analysis unit, a signal capture unit and a parameter judgment unit is introduced, wherein the signal capture unit is connected to the feature analysis unit and the parameter judgment unit respectively, so as to provide effective hardware resources for intelligent identification of the uniformity of distribution of human skin color; Secondly: according to the distribution range of brightness values ​​corresponding to the human skin color, the occupied area of ​​the human skin color in the multiple mapped images is detected, and the red and green components, the black and white components and the yellow and blue components corresponding to each pixel in the occupied area corresponding to the human skin color in the LAB space are analyzed, wherein the occupied area of ​​the human skin color in the multiple mapped images is more than one; Again: the red and green components, the black and white components, the yellow and blue components, the number of pixels in the occupied area corresponding to the human skin color, and the coordinate values ​​corresponding to the pixels in the occupied area corresponding to the human skin color are input into the intelligent identification model in parallel to intelligently identify the uniformity levels of the skin color corresponding to the human skin color. The intelligent identification model is a feedforward neural network that has completed multiple trainings, so as to perform a uniformity analysis of the skin color distribution of each part of the anchor's skin color, thereby providing key data for the identification of possible skin color deviations in different areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0009] Figure 1 FIG. 1 is a schematic diagram of the internal structure of a smart medical management system according to the first embodiment of the present invention.

[0010] Figure 2 FIG. 4 is a schematic diagram of the internal structure of a smart medical management system according to a second embodiment of the present invention.

[0011] Figure 3 FIG. 4 is a schematic diagram of the internal structure of a smart medical management system according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0012] At present, one of the most popular aspects of medical care is medical beauty, especially some industries, which pay more attention to this aspect because of their image requirements. For example, the live broadcast industry is like this. The advantages of live broadcasting are to increase interactivity, improve user loyalty, spread quickly, increase revenue and brand image, and at the same time enrich content and provide a better user experience.

[0013] In order to further enhance the brand image of live broadcasting, some live broadcast operators have hired excellent makeup artists and anchors with good image and temperament for their live broadcast rooms at high prices to ensure the quality of their live broadcast images. To this end, the anchors will whiten their exposed skin, including makeup and special effects. However, due to improper treatment or the level of makeup, the color or whitening degree of the anchor's skin varies, which seriously affects the beauty of the live broadcast screen. At the same time, due to high work pressure, anchors need to work in front of the camera for a long time, and are stimulated by strong light for a long time, which can easily cause various adverse effects on the skin. If the hidden dangers can be discovered as soon as possible, it can provide key data for further possible medical treatment.

[0014] The embodiments of the smart medical management system of the present invention will be described in detail below with reference to the accompanying drawings.

[0015] Figure 1This is a schematic diagram of the internal structure of a smart medical management system according to a first embodiment of the present invention. The system includes: The front face analysis mechanism is arranged at the live video data collection end, and is used to issue a screen capture request when the front face of the host's face exists in the host's broadcast screen corresponding to the current moment, and otherwise, issue a request for continued analysis; For example, the front analysis mechanism is arranged at the live video data collection end, and is used to issue a screen capture request when the front face of the host's face exists in the host's broadcast screen corresponding to the current moment, otherwise, the request for continued analysis is issued, including: selecting a programmable logic device to implement the front analysis mechanism, which is arranged at the live video data collection end, and is used to issue a screen capture request when the front face of the host's face exists in the host's broadcast screen corresponding to the current moment, otherwise, the request for continued analysis is issued; A data capture mechanism is provided at the live video data collection end and connected to the front analysis mechanism, and is used to output the anchor broadcasting picture corresponding to the current moment as a real-time screenshot picture when receiving the picture capture request; A multiple mapping mechanism, which is arranged at the live video data acquisition end and connected to the data interception mechanism, is used to sequentially perform edge-preserving smoothing filtering processing, high-pass filtering sharpening processing, and image content enhancement processing based on logarithmic transformation on the received real-time screenshot images, so as to obtain and output corresponding multiple mapping images; A content analysis device is arranged at a live video data acquisition end and connected to the multiple mapping mechanism, comprising a feature analysis unit, a signal capture unit and a parameter judgment unit, wherein the signal capture unit is respectively connected to the feature analysis unit and the parameter judgment unit, and the content analysis device is used to detect the occupied area of ​​the human skin color in the multiple mapping pictures according to the distribution range of the brightness value corresponding to the human skin color, analyze the red and green components, the black and white components and the yellow and blue components respectively corresponding to each pixel in the occupied area corresponding to the human skin color in the LAB space, and input the red and green components, the black and white components, the yellow and blue components, the number of each pixel in the occupied area corresponding to the human skin color and the coordinate values ​​respectively corresponding to each pixel in the occupied area corresponding to the human skin color into the intelligent identification model in parallel to intelligently identify the uniformity level of the skin color corresponding to the human skin color, wherein the intelligent identification model is a feedforward neural network that has completed multiple trainings, and the occupied area of ​​the human skin color in the multiple mapping pictures is more than one; a deviation identification device connected to the content analysis device, and used to issue a skin color deviation identification request to trigger subsequent manual identification of skin color deviations between various occupied areas of the human skin color in multiple mapping images when the skin color uniformity levels corresponding to the human skin color are less than or equal to a preset level threshold; When the front face of the host exists in the host broadcasting picture corresponding to the current moment, a picture capture request is issued, otherwise, a request for continued analysis is issued, including: when a human face object matching the host front reference pattern exists in the host broadcasting picture corresponding to the current moment, it is determined that the front face of the host exists in the host broadcasting picture corresponding to the current moment; Among them, the multiple mapping mechanism is arranged at the live video data acquisition end and connected to the data interception mechanism, and is used to sequentially perform edge-preserving smoothing filtering processing, high-pass filtering sharpening processing, and image content enhancement processing based on logarithmic transformation on the received real-time screenshot images, so as to obtain and output corresponding multiple mapping images, including: the multiple mapping mechanism has a built-in primary mapping component, a secondary mapping component, and a tertiary mapping component, and the secondary mapping component is respectively connected to the primary mapping component and the tertiary mapping component; Wherein, the deviation identification device is also used to send a distribution uniformity signal when the skin color uniformity level corresponding to the human skin color is greater than the preset level threshold; The data interception mechanism is also used to temporarily suspend outputting the anchor's broadcast screen corresponding to the current moment as a real-time screenshot when receiving the request to continue analysis.

[0016] Figure 2 FIG. 4 is a schematic diagram of the internal structure of a smart medical management system according to a second embodiment of the present invention.

[0017] and Figure 1 different, Figure 2 The smart medical management system in the system can also include the following components: A wireless router device is wirelessly connected to the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, respectively, and is used to provide the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit with the wireless routing services they need; The wireless router device is wirelessly connected to the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit respectively, and is used to provide the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit with the required wireless routing services respectively, including: the wireless router device connects the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network respectively; The wireless router device connects the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network respectively, including: the wireless router device provides different IP addresses for the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit respectively, so as to respectively connect the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network by using the different IP addresses; The wireless router device connects the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network respectively, including: the wireless router device detects and compares the signal strength of each WIFI network near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit; Among them, the wireless router device detects and compares the signal strength of each WIFI network near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, including: the wireless router device uses the WIFI network with the highest signal strength among the various WIFI networks near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit as the WIFI network closest to the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit.

[0018] Figure 3 FIG. 4 is a schematic diagram of the internal structure of a smart medical management system according to a third embodiment of the present invention.

[0019] and Figure 1 different, Figure 3 The smart medical management system in the system can also include the following components: An ultra-high-definition camera device is arranged near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, and is used to collect ultra-high-definition images of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit; Among them, the ultra-high-definition camera device is arranged near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, and is used to collect ultra-high-definition images of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, including: the ultra-high-definition camera device has a built-in photoelectric sensor unit and an ultra-high-definition lens, which is used to collect ultra-high-definition images of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit; And wherein, the ultra-high-definition camera device has a built-in photoelectric sensor unit and an ultra-high-definition lens, which is used to capture ultra-high-definition images of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, including: the photoelectric sensor unit is a CMOS sensor unit or a CCD sensor unit.

[0020] In addition, in the smart medical management system, a multiple mapping mechanism is arranged at the live video data acquisition end and connected to the data interception mechanism, and is used to perform edge-preserving smoothing filtering processing, high-pass filtering sharpening processing and image content enhancement processing based on logarithmic transformation on the received real-time screenshot images in sequence to obtain and output corresponding multiple mapping images. It also includes: the primary mapping component is used to perform edge-preserving smoothing filtering processing on the received image signal, the secondary mapping component is used to perform high-pass filtering sharpening processing on the received image signal, and the tertiary mapping component is used to perform image content enhancement processing based on logarithmic transformation on the received image signal.

[0021] The intelligent medical management system of the present invention can solve the technical problem in the prior art that the skin color deviation of the host's exposed skin in various places is difficult to identify in detail. It can detect the area occupied by the human skin color in multiple mapped images according to the distribution range of brightness values ​​corresponding to the human skin color, and then use an artificial intelligence model to intelligently identify the skin color uniformity levels corresponding to the human skin color based on various visual information of the occupied area, thereby performing skin color distribution uniformity analysis on each part of the host's skin color, providing key data for the identification of possible skin color deviations in different areas.

[0022] Although specific embodiments of the present invention have been described in detail, the breadth and scope of the present invention should not be limited by the above exemplary embodiments, but should be defined only in accordance with the following claims and their equivalents. All changes and modifications that fall within the spirit of the present invention are desired to be protected.

Claims

1. A smart medical management system, characterized in that: The system comprises: The front face analysis mechanism is arranged at the live video data collection end, and is used to issue a screen capture request when the front face of the host's face exists in the host's broadcast screen corresponding to the current moment, and otherwise, issue a request for continued analysis; A data capture mechanism is provided at the live video data collection end and connected to the front analysis mechanism, and is used to output the anchor broadcasting picture corresponding to the current moment as a real-time screenshot picture when receiving the picture capture request; A multiple mapping mechanism, which is arranged at the live video data acquisition end and connected to the data interception mechanism, is used to sequentially perform edge-preserving smoothing filtering processing, high-pass filtering sharpening processing, and image content enhancement processing based on logarithmic transformation on the received real-time screenshot images, so as to obtain and output corresponding multiple mapping images; A content analysis device is arranged at a live video data acquisition end and connected to the multiple mapping mechanism, comprising a feature analysis unit, a signal capture unit and a parameter judgment unit, wherein the signal capture unit is respectively connected to the feature analysis unit and the parameter judgment unit, and the content analysis device is used to detect the occupied area of ​​the human skin color in the multiple mapping pictures according to the distribution range of the brightness value corresponding to the human skin color, analyze the red and green components, the black and white components and the yellow and blue components respectively corresponding to each pixel in the occupied area corresponding to the human skin color in the LAB space, and input the red and green components, the black and white components, the yellow and blue components, the number of each pixel in the occupied area corresponding to the human skin color and the coordinate values ​​respectively corresponding to each pixel in the occupied area corresponding to the human skin color into the intelligent identification model in parallel to intelligently identify the uniformity level of the skin color corresponding to the human skin color, wherein the intelligent identification model is a feedforward neural network that has completed multiple trainings, and the occupied area of ​​the human skin color in the multiple mapping pictures is more than one; a deviation identification device connected to the content analysis device, and used to issue a skin color deviation identification request to trigger subsequent manual identification of skin color deviations between various occupied areas of the human skin color in multiple mapping images when the skin color uniformity levels corresponding to the human skin color are less than or equal to a preset level threshold; Among them, when the front of the host's face exists in the host's broadcast screen corresponding to the current moment, a screen capture request is issued, otherwise, a request for continued analysis is issued, including: when there is a human face object matching the host's front reference pattern in the host's broadcast screen corresponding to the current moment, it is determined that the front of the host's face exists in the host's broadcast screen corresponding to the current moment.

2. The smart medical management system according to claim 1, characterized in that: A multiple mapping mechanism is arranged at the live video data acquisition end and connected to the data interception mechanism, and is used to sequentially perform edge-preserving smoothing filtering processing, high-pass filtering sharpening processing, and image content enhancement processing based on logarithmic transformation on the received real-time screenshot images, so as to obtain and output corresponding multiple mapping images, including: the multiple mapping mechanism has a built-in primary mapping component, a secondary mapping component, and a tertiary mapping component, and the secondary mapping component is respectively connected to the primary mapping component and the tertiary mapping component; Wherein, the deviation identification device is also used to send a distribution uniformity signal when the skin color uniformity level corresponding to the human skin color is greater than the preset level threshold; The data interception mechanism is also used to temporarily suspend outputting the anchor's broadcast screen corresponding to the current moment as a real-time screenshot when receiving the request to continue analysis.

3. The intelligent medical management system according to claim 2, characterized in that: The system further comprises: A wireless router device is wirelessly connected to the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, respectively, and is used to provide the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit with the wireless routing services they need; Among them, the wireless router device is wirelessly connected to the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit respectively, and is used to provide the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit with the wireless routing services they need respectively, including: the wireless router device connects the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network respectively.

4. The smart medical management system according to claim 3, characterized in that: The wireless router device connects the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network respectively, including: the wireless router device provides different IP addresses for the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit respectively, so as to use the different IP addresses to connect the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network respectively.

5. The smart medical management system according to claim 4, characterized in that: The wireless router device connects the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit to the nearest WIFI network respectively, including: the wireless router device detects and compares the signal strength of each WIFI network near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit.

6. The intelligent medical management system according to claim 5, characterized in that: The wireless router device detects and compares the signal strength of each WIFI network near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, including: the wireless router device uses the WIFI network with the highest signal strength among the various WIFI networks near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit as the WIFI network closest to the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit.

7. The smart medical management system according to claim 2, characterized in that: The system further comprises: An ultra-high-definition camera device is arranged near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, and is used to capture ultra-high-definition images of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit.

8. The smart medical management system according to claim 7, characterized in that: An ultra-high-definition camera device is arranged near the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, and is used to perform ultra-high-definition image acquisition of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit. The ultra-high-definition camera device includes a built-in photoelectric sensor unit and an ultra-high-definition lens, which are used to perform ultra-high-definition image acquisition of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit.

9. The intelligent medical management system according to claim 8, characterized in that: The ultra-high-definition camera device has a built-in photoelectric sensor unit and an ultra-high-definition lens, which is used to collect ultra-high-definition images of the working scenes of the multiple mapping mechanism, the feature analysis unit, the signal capture unit and the parameter judgment unit, including: the photoelectric sensor unit is a CMOS sensor unit or a CCD sensor unit.

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