Information management system for smart medical care

Abstract

The present invention relates to an information management system for smart medical treatment, including multiple optimization devices, area recognition devices, overlapping analysis mechanisms, real-time display mechanisms, etc. The present invention can complete intelligent identification and provide assistance for further management of medical information.

Description

Technical Field

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

[0002] As life gets better, people start to pay more attention to their appearance, and the market share of medical beauty business is growing. Simply put, people can do simple makeup first, and if the effect is not good, they can even choose to undergo medical surgery. Therefore, the makeup information data in the early stage can serve as an important basis for further medical treatment later.

[0003] For example, CN118942651A discloses a nursing supplies handover supervision system based on smart medical care, which relates to the technical field of nursing supplies handover supervision; it includes a smart medical database, a medical supplies acquisition module, a nursing supplies sub-module, a nursing equipment analysis module, a medical supplies sub-module and a signal receiving and management module; the smart medical database is used to store hospital data; the medical supplies acquisition module is used to obtain the categories of nursing supplies; the nursing supplies sub-module is used to record the nursing supplies handover records and analyze the nursing staff positions; the nursing equipment analysis module is used to analyze the nursing equipment handover process; the medical supplies sub-module is used to analyze the nursing supplies handover records; the signal receiving and management module supervises, analyzes and executes the signals received; to ensure the smooth workflow of medical staff and reduce errors and delays caused by human factors; to improve the overall management level of the hospital, enhance the patient's medical experience, and provide a better working environment and support for medical staff.

[0004] CN118841121A discloses a patient information management method and system based on smart medical care. The present invention relates to the field of smart medical technology and solves the problem that when the patient information is actually processed, the corresponding patient information format conversion rate is slow. The present invention confirms that the patient information text needs to be provided by multiple different server ends, and then based on the associated formats of the multiple different server ends, the associated text of the patient information is converted. When the corresponding classified text is converted in format, the method with the shortest conversion time is adopted. Therefore, when the text is restored in the later period, the restoration speed is still in the fastest restoration conversion mode, which can fully reduce the corresponding conversion time to ensure that the format conversion time of the corresponding information text can be fully reduced. Summary of the invention

[0005] In order to solve the technical problems in the prior art, the present invention provides an information management system for smart medical care, which can successively perform distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received makeup shooting pictures, so as to obtain and output corresponding multiple optimized pictures, and in the multiple optimized pictures obtained after the targeted optimization processing of the makeup shooting pictures, the areas where human wrinkles and loose powder are respectively located are identified according to the appearance imaging features and color imaging features corresponding to human wrinkles and loose powder respectively, as wrinkle occupied areas and loose powder occupied areas respectively, when the wrinkle occupied areas and loose powder occupied areas obtained by identification have pixel points with the same horizontal coordinates and the same vertical coordinates, the pixel points with the same horizontal coordinates and the same vertical coordinates are taken as single overlapping pixel points, and the number of overlapping pixel points of the wrinkle occupied areas and the loose powder occupied areas is determined as the basic number of analysis, and when the basic number of analysis is greater than or equal to zero, it is judged that human wrinkles and loose powder overlap, otherwise, it is judged that human wrinkles and loose powder do not overlap, thereby completing the intelligent identification of the facial state of the makeup anchor, avoiding the wrinkle prominence caused by loose powder hitting the human wrinkle area and the visual effect of drier skin.

[0006] According to the present invention, there is provided an information management system for smart medical treatment, the system comprising: A makeup shooting device, with a built-in photoelectric sensor and a flexible circuit board, is used to perform facial shooting processing on the anchor in the live broadcast room who has completed makeup, so as to obtain and output the corresponding makeup shooting picture; A multiple optimization device, connected to the makeup shooting device and including a first-layer optimization component, a second-layer optimization component and a last-layer optimization component, for successively performing distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received makeup shooting pictures, so as to obtain and output corresponding multiple optimization pictures, wherein the first-layer optimization component, the second-layer optimization component and the last-layer optimization component are connected in sequence; A region recognition device is connected to the multiple optimization device, and is used to recognize the wrinkle-occupied region in the received multiple optimization images based on the shape imaging features corresponding to the human wrinkles, and to recognize the loose powder-occupied region in the received multiple optimization images based on the color imaging features corresponding to the loose powder used for human makeup. an overlapping analysis mechanism connected to the region recognition device, for determining the number of overlapping pixels of the wrinkle occupied region and the loose powder occupied region as an analysis basis number, and determining that the human wrinkles and the loose powder overlap when the analysis basis number is greater than or equal to zero, and determining that the human wrinkles and the loose powder do not overlap when the analysis basis number is less than zero; An instant display mechanism, connected to the overlap analysis mechanism, for instant displaying makeup status display information corresponding to the overlap of human wrinkles and loose powder when it is determined that human wrinkles and loose powder overlap, and for instant displaying makeup status display information corresponding to the non-overlap of human wrinkles and loose powder when it is determined that human wrinkles and loose powder do not overlap; Wherein, determining the number of overlapping pixel points of the wrinkle occupied area and the loose powder occupied area as the analysis basis number, and judging that the human body wrinkles and the loose powder overlap when the analysis basis number is greater than or equal to zero, and judging that the human body wrinkles and the loose powder do not overlap when the analysis basis number is less than zero includes: when there are pixel points with the same horizontal coordinates and the same vertical coordinates in the wrinkle occupied area and the loose powder occupied area, taking the pixel points with the same horizontal coordinates and the same vertical coordinates as a single overlapping pixel point; Among them, the multiple optimization device is connected to the fixed-makeup shooting device and includes a first-layer optimization component, a sub-layer optimization component and a tail-layer optimization component, which is used to successively perform distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received fixed-makeup shooting picture to obtain and output the corresponding multiple optimized pictures. The first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component are connected in sequence, including: the first-layer optimization component is used to perform distortion correction processing on the received fixed-makeup shooting picture.

[0007] It can be seen that the present invention has at least the following four key invention points: First: a multiple optimization device of a customized structure including a first-layer optimization component, a second-layer optimization component and a last-layer optimization component is used to successively perform distortion correction processing, point image restoration processing and picture signal sharpening processing based on high-pass filtering on the received fixed-makeup shooting pictures, so as to obtain and output corresponding multiple optimization pictures, wherein the first-layer optimization component, the second-layer optimization component and the last-layer optimization component are connected in sequence; Second: in the multiple optimized images obtained after the targeted optimization processing of the makeup shooting images, the areas where the human wrinkles and loose powder are located are identified according to the shape imaging features and color imaging features corresponding to the human wrinkles and loose powder respectively, as the wrinkle occupied area and the loose powder occupied area respectively; Third: when there are pixels with the same horizontal coordinates and the same vertical coordinates in the wrinkle occupied area and the loose powder occupied area, the pixels with the same horizontal coordinates and the same vertical coordinates are regarded as single overlapping pixels; Fourth: determine the number of overlapping pixels of the wrinkle-occupied area and the loose powder-occupied area as the basic number for analysis, and when the basic number for analysis is greater than or equal to zero, determine that human wrinkles and loose powder overlap, otherwise, determine that human wrinkles and loose powder do not overlap, thereby completing the intelligent identification of the facial condition of the makeup host and avoiding the visual effect of wrinkles protruding and drier skin caused by loose powder hitting the human wrinkle area. 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 It is a structural block diagram of an information management system for smart medical care according to implementation scheme A of the present invention.

[0010] Figure 2 It is a structural block diagram of an information management system for smart medical care according to implementation scheme B of the present invention.

[0011] Figure 3 It is a structural block diagram of an information management system for smart medical care according to implementation scheme C of the present invention. DETAILED DESCRIPTION

[0012] Specifically, in the now very popular live broadcast industry, in order to ensure the appearance of the anchor during the live broadcast and increase the sales of live broadcast products, the operators of various live broadcast rooms attach great importance to the makeup management of the anchors they employ. Generally, they will conduct makeup tests on various aspects of the anchors before the broadcast. For example, if loose powder is used on the wrinkled parts of the anchor's face, it will make the skin look too dry, especially using loose powder around the eyes, which will aggravate the fine lines around the eyes and make the wrinkles around the eyes look drier. In other words, try to avoid applying loose powder on the wrinkled parts of the face. If you want the makeup to last longer, you must use loose powder to set the makeup. Then after applying the loose powder, gently apply some moisturizing cream on the obvious wrinkles.

[0013] It can be seen from this that for the operators of various live broadcast rooms who attach importance to the makeup management of anchors, in order to avoid applying loose powder on wrinkled areas on the face, which will cause the anchor's face wrinkles to be prominent and the visual effect of dry skin, it is necessary to perform visual data collection on the anchor's makeup before the anchor goes on the broadcast, and perform overlapping identification of the visual distribution states between the wrinkle imaging area and the loose powder imaging area on the anchor's face. Obviously, there is a lack of corresponding technical solutions in the existing technology.

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

[0015] Figure 1The structure block diagram of the information management system for smart medical treatment according to the A embodiment of the present invention is shown, and the system includes: A makeup shooting device, with a built-in photoelectric sensor and a flexible circuit board, is used to perform facial shooting processing on the anchor in the live broadcast room who has completed makeup, so as to obtain and output the corresponding makeup shooting picture; A multiple optimization device, connected to the makeup shooting device and including a first-layer optimization component, a second-layer optimization component and a last-layer optimization component, for successively performing distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received makeup shooting pictures, so as to obtain and output corresponding multiple optimization pictures, wherein the first-layer optimization component, the second-layer optimization component and the last-layer optimization component are connected in sequence; Specifically, a multiple optimization device is connected to the makeup shooting device and includes a first-layer optimization component, a second-layer optimization component and a tail-layer optimization component, and is used to successively perform distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received makeup shooting picture to obtain and output the corresponding multiple optimization pictures, and the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component are connected in sequence, including: using multiple different models of GAL chips to respectively implement the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component; A region recognition device is connected to the multiple optimization device, and is used to recognize the wrinkle-occupied region in the received multiple optimization images based on the shape imaging features corresponding to the human wrinkles, and to recognize the loose powder-occupied region in the received multiple optimization images based on the color imaging features corresponding to the loose powder used for human makeup. an overlapping analysis mechanism connected to the region recognition device, for determining the number of overlapping pixels of the wrinkle occupied region and the loose powder occupied region as an analysis basis number, and determining that the human wrinkles and the loose powder overlap when the analysis basis number is greater than or equal to zero, and determining that the human wrinkles and the loose powder do not overlap when the analysis basis number is less than zero; An instant display mechanism, connected to the overlap analysis mechanism, for instant displaying makeup status display information corresponding to the overlap of human wrinkles and loose powder when it is determined that human wrinkles and loose powder overlap, and for instant displaying makeup status display information corresponding to the non-overlap of human wrinkles and loose powder when it is determined that human wrinkles and loose powder do not overlap; Wherein, determining the number of overlapping pixel points of the wrinkle occupied area and the loose powder occupied area as the analysis basis number, and judging that the human body wrinkles and the loose powder overlap when the analysis basis number is greater than or equal to zero, and judging that the human body wrinkles and the loose powder do not overlap when the analysis basis number is less than zero includes: when there are pixel points with the same horizontal coordinates and the same vertical coordinates in the wrinkle occupied area and the loose powder occupied area, taking the pixel points with the same horizontal coordinates and the same vertical coordinates as a single overlapping pixel point; Among them, the multiple optimization device is connected to the makeup shooting device and includes a first-layer optimization component, a second-layer optimization component and a tail-layer optimization component, which is used to successively perform distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received makeup shooting picture to obtain and output the corresponding multiple optimization pictures, and the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component are connected in sequence, including: the first-layer optimization component is used to perform distortion correction processing on the received makeup shooting picture; Among them, the multiple optimization device is connected to the fixed-makeup shooting device and includes a first-layer optimization component, a sub-layer optimization component and a tail-layer optimization component, which is used to successively perform distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received fixed-makeup shooting picture to obtain and output the corresponding multiple optimized pictures. The first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component are connected in sequence and also include: the sub-layer optimization component is used to perform point image restoration processing on the received picture.

[0016] Figure 2 It is a structural block diagram of an information management system for smart medical care according to implementation scheme B of the present invention.

[0017] Compared with the implementation scheme A, the information management system for smart medical care shown in the implementation scheme B of the present invention may also include: A current detection device is disposed near the region identification device, the first layer optimization component, the second layer optimization component, and the tail layer optimization component and is connected to the region identification device, the first layer optimization component, the second layer optimization component, and the tail layer optimization component respectively; Among them, the current detection device is arranged near the area identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component and is respectively connected to the area identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component, including: the current detection device is used to respectively realize the on-site measurement of the current of the area identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component.

[0018] Figure 3It is a structural block diagram of an information management system for smart medical care according to implementation scheme C of the present invention.

[0019] Compared with implementation scheme A, the information management system for smart medical care shown in implementation scheme C of the present invention may also include: A bandwidth detection device is disposed near the region identification device, the first layer optimization component, the second layer optimization component, and the last layer optimization component and is connected to the region identification device, the first layer optimization component, the second layer optimization component, and the last layer optimization component respectively; Among them, the bandwidth detection device is arranged near the area identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component and is respectively connected to the area identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component, including: the bandwidth detection device is used to respectively realize on-site measurement of the current bandwidth of the area identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component.

[0020] Next, the specific structure of the information management system for smart medical care of the present invention will be further described.

[0021] In the information management system for smart medical care according to various embodiments of the present invention: A field programmable gate array is used to perform image data processing on the output data of the region identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component to obtain output processing data corresponding to the region identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component respectively.

[0022] In the information management system for smart medical care according to various embodiments of the present invention: Using a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively includes: performing statistical sorting filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

[0023] In the information management system for smart medical care according to various embodiments of the present invention: Using a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively includes: performing gradient sharpening filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

[0024] In the information management system for smart medical care according to various embodiments of the present invention: The method uses a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively, including: performing Butterworth low-pass filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

[0025] And in the information management system for smart medical care according to various embodiments of the present invention: Using a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively includes: performing Gaussian high-pass filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

[0026] In addition, in the information management system for smart medical care, a multiple optimization device is connected to the fixed-makeup shooting device and includes a first-layer optimization component, a second-layer optimization component and a last-layer optimization component, which is used to successively perform distortion correction processing, point image restoration processing and high-pass filtering-based picture signal sharpening processing on the received fixed-makeup shooting picture to obtain and output corresponding multiple optimized pictures. The first-layer optimization component, the second-layer optimization component and the last-layer optimization component are connected in sequence, including: the last-layer optimization component is used to perform high-pass filtering-based picture signal sharpening processing on the received picture.

[0027] The information management system for smart medical care of the present invention is used to address the technical problem in the prior art that it is difficult to avoid the visual effect of wrinkles being highlighted and the skin being drier caused by loose powder being applied to the wrinkle areas of the human body. By performing targeted optimization processing on the received makeup shooting pictures to obtain multiple optimized pictures, it is determined based on various visual information of the multiple optimized pictures whether the wrinkles of the human body and the loose powder overlap, thereby completing the intelligent identification of the facial condition of the makeup host, and avoiding the visual effect of wrinkles being highlighted and the skin being drier caused by loose powder being applied to the wrinkle areas of the human body.

[0028] The present invention has been described with reference to its typical embodiments, but those skilled in the art will be able to make various modifications to the described embodiments without departing from its purpose and scope. The terms and descriptions used herein are set forth by way of example only and are not intended to be limiting. In particular, although the method has been described by way of example, the steps of the method may be performed in a different order than that illustrated or simultaneously. Those skilled in the art will recognize that these and other changes may be made within the purpose and scope defined by the following claims and their equivalents.

Claims

1. An information management system for smart medical care, characterized in that: The system comprises: A makeup shooting device, with a built-in photoelectric sensor and a flexible circuit board, is used to perform facial shooting processing on the anchor in the live broadcast room who has completed makeup, so as to obtain and output the corresponding makeup shooting picture; A multiple optimization device, connected to the makeup shooting device and including a first-layer optimization component, a second-layer optimization component and a last-layer optimization component, for successively performing distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received makeup shooting pictures, so as to obtain and output corresponding multiple optimization pictures, wherein the first-layer optimization component, the second-layer optimization component and the last-layer optimization component are connected in sequence; A region recognition device is connected to the multiple optimization device, and is used to recognize the wrinkle-occupied region in the received multiple optimization images based on the shape imaging features corresponding to the human wrinkles, and to recognize the loose powder-occupied region in the received multiple optimization images based on the color imaging features corresponding to the loose powder used for human makeup. an overlapping analysis mechanism connected to the region recognition device, for determining the number of overlapping pixels of the wrinkle occupied region and the loose powder occupied region as an analysis basis number, and determining that the human wrinkles and the loose powder overlap when the analysis basis number is greater than or equal to zero, and determining that the human wrinkles and the loose powder do not overlap when the analysis basis number is less than zero; An instant display mechanism, connected to the overlap analysis mechanism, for instant displaying makeup status display information corresponding to the overlap of human wrinkles and loose powder when it is determined that human wrinkles and loose powder overlap, and for instant displaying makeup status display information corresponding to the non-overlap of human wrinkles and loose powder when it is determined that human wrinkles and loose powder do not overlap; Wherein, determining the number of overlapping pixel points of the wrinkle occupied area and the loose powder occupied area as the analysis basis number, and judging that the human body wrinkles and the loose powder overlap when the analysis basis number is greater than or equal to zero, and judging that the human body wrinkles and the loose powder do not overlap when the analysis basis number is less than zero includes: when there are pixel points with the same horizontal coordinates and the same vertical coordinates in the wrinkle occupied area and the loose powder occupied area, taking the pixel points with the same horizontal coordinates and the same vertical coordinates as a single overlapping pixel point; Among them, the multiple optimization device is connected to the fixed-makeup shooting device and includes a first-layer optimization component, a sub-layer optimization component and a tail-layer optimization component, which is used to successively perform distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received fixed-makeup shooting picture to obtain and output the corresponding multiple optimized pictures. The first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component are connected in sequence, including: the first-layer optimization component is used to perform distortion correction processing on the received fixed-makeup shooting picture.

2. The information management system for smart medical care according to claim 1, characterized in that: A multiple optimization device is connected to the fixed-makeup shooting device and includes a first-layer optimization component, a second-layer optimization component and a last-layer optimization component, and is used to successively perform distortion correction processing, point image restoration processing and image signal sharpening processing based on high-pass filtering on the received fixed-makeup shooting picture to obtain and output the corresponding multiple optimized pictures. The first-layer optimization component, the second-layer optimization component and the last-layer optimization component are connected in sequence and also include: the second-layer optimization component is used to perform point image restoration processing on the received picture.

3. The information management system for smart medical care as claimed in claim 2, characterized in that: The system further comprises: A current detection device is disposed near the region identification device, the first layer optimization component, the second layer optimization component, and the tail layer optimization component and is connected to the region identification device, the first layer optimization component, the second layer optimization component, and the tail layer optimization component respectively; Among them, the current detection device is arranged near the area identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component and is respectively connected to the area identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component, including: the current detection device is used to respectively realize the on-site measurement of the current of the area identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component.

4. The information management system for smart medical care according to claim 2, characterized in that: The system further comprises: A bandwidth detection device is disposed near the region identification device, the first layer optimization component, the second layer optimization component, and the last layer optimization component and is connected to the region identification device, the first layer optimization component, the second layer optimization component, and the last layer optimization component respectively; Among them, the bandwidth detection device is arranged near the area identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component and is respectively connected to the area identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component, including: the bandwidth detection device is used to respectively realize on-site measurement of the current bandwidth of the area identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component.

5. The information management system for smart medical care according to any one of claims 2 to 4, characterized in that: A field programmable gate array is used to perform image data processing on the output data of the region identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component to obtain output processing data corresponding to the region identification device, the first-layer optimization component, the sub-layer optimization component and the tail-layer optimization component respectively.

6. The information management system for smart medical care according to claim 5, characterized in that: Using a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively includes: performing statistical sorting filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

7. The information management system for smart medical care according to claim 5, characterized in that: Using a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively includes: performing gradient sharpening filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

8. The information management system for smart medical care according to claim 5, characterized in that: The method uses a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively, including: performing Butterworth low-pass filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

9. The information management system for smart medical care according to claim 5, characterized in that: Using a field programmable gate array to perform image data processing on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively includes: performing Gaussian high-pass filtering on the output data of the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component to obtain the output processing data corresponding to the region identification device, the first-layer optimization component, the second-layer optimization component and the tail-layer optimization component respectively.

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