Alzheimer disease auxiliary diagnosis equipment based on AI technology
By designing a folding bracket and auxiliary diagnostic system, combined with the technical means of counterweight blocks and micro-photosensitive controllers, the problem of precise acquisition of facial acquisition modules in existing Alzheimer's disease auxiliary diagnostic equipment is solved, and the problem of the problem of accurate acquisition of facial acquisition modules and increasing the burden on the diagnosed person is solved. It realizes the stable, comprehensive shooting and automatic adjustment functions of the micro camera.
Patent Information
- Application Number
- CN202411836289.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-02-11
AI Technical Summary
In the existing Alzheimer's disease-assisted diagnostic equipment based on AI technology, the precise collection of the facial acquisition module is difficult, which increases the burden on the diagnosed person.
A device including a folding bracket and an auxiliary diagnostic system is designed. The surface of the folding bracket is clamped with the tablet computer, and the interior of the mounting cavity is rotatably connected to the face collection mechanism. The face acquisition mechanism ensures that the micro camera always faces the face of the person being diagnosed through the counterweight and the design of the micro camera, and automatically adjusts the polarizer to maintain the appropriate amount of light inlet through the micro photosensitive controller and electric rotating assembly.
It effectively solves the problem of the difficulty of precise collection of the face acquisition module and the increase of burden on the diagnosed person, ensuring that the micro camera can comprehensively capture the face of the diagnosed person and automatically adjust it in different light environments to ensure the normal progress of the shooting work.
Smart Images

Figure CN119405279A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical devices, and in particular to an auxiliary diagnosis device for Alzheimer's disease based on AI technology. Background Art
[0002] Alzheimer's disease is a primary, progressive, fatal neurodegenerative disease with an insidious onset and unknown etiology. It is a general term for early-onset dementia and senile dementia. Currently, AI technology can use facial data to predict the progression of Alzheimer's disease and continuously monitor and analyze the facial features of the patient to assess changes in the patient's condition.
[0003] Since the existing facial data acquisition modules are mostly embedded and installed on the front of the Alzheimer's disease auxiliary diagnosis equipment, the person being diagnosed is required to face the facial data acquisition module in a specific position. However, due to the different heights, body shapes and ages of the people being diagnosed, it is difficult for the people being diagnosed to maintain a specific position for a long time, which not only increases the burden on the people being diagnosed, but also affects the accuracy of the facial data acquisition module. Summary of the invention
[0004] Based on this, it is necessary to provide an Alzheimer's disease auxiliary diagnosis device based on AI technology to address the problem that the facial acquisition module used for Alzheimer's disease auxiliary diagnosis based on AI technology is difficult to accurately collect data, which increases the burden on the diagnosed person.
[0005] An AI-based auxiliary diagnosis device for Alzheimer's disease comprises a folding bracket and an auxiliary diagnosis system, wherein a tablet computer is clamped on the surface of the folding bracket, an installation cavity is provided on the surface of the folding bracket, and a face collection mechanism is rotatably connected to the interior of the installation cavity.
[0006] Furthermore, the face acquisition mechanism includes a rotating shaft rotatably connected to the inside of the installation cavity, a counterweight block is fixedly connected to the lower surface of the rotating shaft, a mounting box is fixedly connected to the upper surface of the rotating shaft, a miniature camera is embedded and installed inside the mounting box, a miniature photosensitive controller is fixedly connected to the surface of the miniature camera, an electric rotating assembly is fixedly connected to the inside of the mounting box, polarizers distributed in a ring are embedded and installed on the surface of the electric rotating assembly, and the transmittance of two adjacent polarizers is different.
[0007] In one of the embodiments, when the medical staff adjusts the tilt angle of the tablet computer for the person being diagnosed to ensure that the tablet computer and the person being diagnosed are at the same height, the counterweight block drives the micro camera to always remain in a vertical state under the action of gravity, which can ensure that the micro camera is always facing the face of the person being diagnosed, so that the micro camera can more comprehensively capture the face of the person being diagnosed, effectively solving the problem that the existing AI-based facial acquisition module for auxiliary diagnosis of Alzheimer's disease is difficult to accurately capture, which increases the burden on the person being diagnosed; at the same time, the micro photosensitive controller can detect the amount of light entering the micro camera lens in real time, and when the amount of light entering the micro camera lens deviates from the normal range, the micro photosensitive controller rotates the polarizer of the corresponding transmittance through the electric rotating component and covers the lens of the micro camera, so that the amount of light entering the micro camera is within the normal range, thereby ensuring that the micro camera can perform shooting operations normally.
[0008] Furthermore, the electric rotating assembly includes a micro stepper motor fixedly connected to the inside of the mounting box, the end of the micro stepper motor output shaft is fixedly connected to a first gear, the surface of the first gear is meshingly connected to a second gear, the inner side of the second gear is fixedly connected to a turntable rotatably connected to the mounting box, the surface of the turntable is provided with mounting holes distributed in a ring shape, and the polarizer is embedded and installed inside the mounting hole.
[0009] In one of the embodiments, under the control of a micro-photosensitive controller, the corresponding polarizing filter can be rotated to cover the lens of the micro-camera without manual adjustment, so that the micro-camera can adapt to shooting requirements in different lighting environments.
[0010] Furthermore, a socket is provided on the top of the folding bracket, a positioning groove connected to the socket is provided on the top of the installation box, and the face collection mechanism also includes a positioning component, which includes a plug plate slidably connected to the inside of the socket, and the bottom of the plug plate passes through the socket and is plugged into the positioning groove.
[0011] In one of the embodiments, this not only makes the micro camera more stable during transportation to reduce the probability of the micro camera being damaged due to constant shaking, but also can fold the bracket and the volume occupied by the face collection mechanism to facilitate storage.
[0012] Furthermore, two spherical positioning cavities are provided inside the folding bracket and are both connected to the insertion hole, and a rubber positioning block is embedded and installed on the surface of the plug plate and is engaged with the spherical positioning cavity below.
[0013] In one embodiment, this can elastically lock the plug board in a corresponding position to reduce the probability of the plug board being loosened or even lost from the socket.
[0014] Furthermore, an adjustment ring is fixedly connected to the top of the plug plate, and the maximum horizontal cross-sectional dimension of the adjustment ring is larger than the maximum horizontal cross-sectional dimension of the installation cavity.
[0015] In one embodiment, this can reduce the difficulty for medical personnel to adjust the position of the plug plate, thereby achieving the purpose of facilitating adjustment.
[0016] Furthermore, the vertical cross-section of the counterweight block is fan-shaped, the center point of the counterweight block coincides with the axis centerline of the rotating shaft, the number of the counterweight blocks is two, and the two counterweight blocks are symmetrically distributed on both sides of the installation box.
[0017] In one embodiment, this can ensure that the counterweight can ensure that the micro camera is always facing the face of the person being diagnosed under the action of gravity.
[0018] Furthermore, a dustproof glass is embedded in the opening of the installation box, the vertical cross-sectional dimension of the dustproof glass is larger than the vertical cross-sectional dimension of the miniature camera, and the axis lines of the polarizing filter, the dustproof glass and the miniature camera at the top are coincident.
[0019] In one embodiment, this can reduce the difficulty of external dust entering the interior of the installation box, thereby reducing the subsequent cleaning burden on the staff.
[0020] Furthermore, the auxiliary diagnosis system includes:
[0021] An image receiving module, used for receiving a face image taken by the micro camera;
[0022] Image AI denoising module, which uses AI algorithm to remove noise in face images;
[0023] Image AI enhancement module, which uses AI algorithms to improve the brightness and contrast of facial images;
[0024] Feature AI extraction module, which uses AI algorithm to extract features at specific locations on the face;
[0025] The feature AI comparison module uses AI algorithms to compare the selected features with the pre-stored features in the database to obtain the changes in the patient's condition at that time;
[0026] The storage and management module is used to centrally save the above processing procedures and results to facilitate subsequent personnel to access the data and improve the accuracy of the review.
[0027] In the above-mentioned AI-based Alzheimer's disease auxiliary diagnosis device, when the medical staff adjusts the inclination angle of the tablet computer for the diagnosed person to ensure that the tablet computer and the diagnosed person are at the same height, the counterweight block drives the micro camera to always remain in a vertical state under the action of gravity, which can ensure that the micro camera is always facing the face of the diagnosed person, so that the micro camera can take a more comprehensive picture of the face of the diagnosed person, effectively solving the problem that the existing AI-based Alzheimer's disease auxiliary diagnosis facial acquisition module is difficult to accurately collect, which increases the burden on the diagnosed person;
[0028] At the same time, the micro photosensitive controller can detect the amount of light entering the micro camera lens in real time. When the amount of light entering the micro camera lens deviates from the normal range, the micro photosensitive controller rotates the polarizing filter of the corresponding transmittance through the electric rotating component and covers the lens of the micro camera, so that the amount of light entering the micro camera is within the normal range, thereby ensuring that the micro camera can perform shooting operations normally. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0030] Figure 1 It is a schematic diagram of the structure of the overall structure of the present invention in a folded state;
[0031] Figure 2 It is a structural schematic diagram of the overall structure of the present invention in an unfolded state;
[0032] Figure 3 It is a partial schematic diagram of the overall structure of the present invention in a folded state;
[0033] Figure 4 for Figure 3 Schematic cross-sectional view along the AA direction;
[0034] Figure 5 for Figure 4 Enlarged view of middle C;
[0035] Figure 6 for Figure 3 A cross-sectional schematic diagram along the BB direction;
[0036] Figure 7 It is a structural schematic diagram of the face acquisition mechanism of the present invention;
[0037] Figure 8It is a partial exploded schematic diagram of the face acquisition mechanism of the present invention;
[0038] Fig. 9 It is a structural schematic diagram of the folding bracket of the present invention in an unfolded state;
[0039] Fig.10 It is a schematic diagram of the flow chart of the auxiliary diagnosis system of the present invention.
[0040] Reference numerals:
[0041] 100, folding bracket; 110, installation cavity; 120, socket; 130, spherical positioning cavity; 200, auxiliary diagnosis system; 210, image receiving module; 220, image AI denoising module; 230, image AI enhancement module; 240, feature AI extraction module; 250, feature AI comparison module; 260, storage and management module; 300, tablet computer; 400, face acquisition mechanism; 410, rotating shaft; 420, counterweight; 430, installation box; 431, positioning groove; 440, micro camera; 450, micro photosensor controller; 460, electric rotating assembly; 461, micro stepping motor; 462, first gear; 463, second gear; 464, turntable; 465, mounting hole; 470, polarizer; 480, positioning assembly; 481, plug board; 482, rubber positioning block; 483, adjustment ring; 490, dustproof glass. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0043] It should be noted that when a component is referred to as being "fixed to" or "disposed on" another component, it may be directly on the other component or there may be a central component. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may be a central component at the same time. The terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used in the specification of the present invention are for illustrative purposes only and do not represent the only implementation method.
[0044] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0045] In the present invention, unless otherwise clearly specified and limited, a first feature being “above” or “below” a second feature may mean that the first feature is directly in contact with the second feature, or the first feature and the second feature are indirectly in contact through an intermediate medium. Moreover, a first feature being “above”, “above” or “above” a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being “below”, “below” or “below” a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.
[0046] Unless otherwise defined, all technical and scientific terms used in the specification of the present invention have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in the specification of the present invention includes any and all combinations of one or more related listed items.
[0047] Combine the following Figure 1 - Fig.10 The present invention describes an auxiliary diagnosis device for Alzheimer's disease based on AI technology.
[0048] In one embodiment, an AI-based Alzheimer's disease auxiliary diagnosis device includes a folding bracket 100 and an auxiliary diagnosis system 200. A tablet computer 300 is snapped onto the surface of the folding bracket 100. A mounting cavity 110 is provided on the surface of the folding bracket 100. A face collection mechanism 400 is rotatably connected to the interior of the mounting cavity 110. Alzheimer's disease diagnosis software is preset inside the tablet computer 300. The Alzheimer's disease diagnosis software includes Alzheimer's disease diagnosis questions and a function of real-time uploading to a cloud database. The specific software coding needs to be developed according to actual needs, which will not be described in detail here.
[0049] The folding bracket 100 includes a U-shaped support frame, an upper clamping plate and a lower clamping plate. Both ends of the U-shaped support frame are hinged with spring telescopic rods, which are always in a stretched state. The upper clamping plate and the lower clamping plate are fixedly connected to one end of the spring telescopic rod facing away from the U-shaped support frame. The upper clamping plate is arranged above the lower clamping plate. The installation cavity 110, the plug hole 120 and the spherical positioning cavity 130 are all opened on the surface of the upper clamping plate. The end of the spring telescopic rod facing the U-shaped support frame is provided with evenly distributed slots. The interior of the U-shaped support frame is rotatably connected with U-shaped legs plugged into adjacent slots.
[0050] When the diagnosed person needs to use the tablet computer 300 to test the Alzheimer's disease diagnosis question at a specific angle, the medical staff first places the U-shaped support frame in the corresponding position, then rotates the spring telescopic rod to the corresponding angle and plugs the U-shaped legs into the corresponding slots, locks the spring telescopic rod at the corresponding angle, and then the medical staff can pull up the upper clamping plate, and the upper clamping plate drives the spring telescopic rod to actively extend. When the distance between the upper clamping plate and the lower clamping plate is greater than the vertical section length of the tablet computer 300, the medical staff can place the tablet computer 300 on the spring telescopic rod between the upper clamping plate and the lower clamping plate, and then slowly relax the upper clamping plate. The spring telescopic rod drives the upper clamping plate to fit the top of the tablet computer 300, and drives the tablet computer 300 to move in the direction of the lower clamping plate until the upper clamping plate cooperates with the lower clamping plate to firmly clamp the tablet computer 300. At this time, the diagnosed person can perform the Alzheimer's disease diagnosis question test at the corresponding angle;
[0051] Using a tilted tablet computer 300 can reduce the burden on the neck and shoulders and prevent the patient from suffering from cervical spondylosis due to bowing the head for a long time, so as to meet the needs of ergonomics. At the same time, tilting the tablet computer 300 can also adjust the sight angle, so that the patient can focus more easily on the screen content and reduce eyestrain. For patients of different heights and sitting postures, the adjustment of the tilt angle can better adapt to their sight needs.
[0052] like Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 and Fig. 9As shown, the face acquisition mechanism 400 includes a rotating shaft 410 rotatably connected to the inside of the installation cavity 110, a counterweight 420 is fixedly connected to the lower surface of the rotating shaft 410, a mounting box 430 is fixedly connected to the upper surface of the rotating shaft 410, a micro camera 440 is embedded and installed in the mounting box 430, a micro photosensitive controller 450 is fixedly connected to the surface of the micro camera 440, an electric rotating assembly 460 is fixedly connected to the inside of the mounting box 430, and polarizers 470 distributed in an annular shape are embedded and installed on the surface of the electric rotating assembly 460, and the light transmittances of two adjacent polarizers 470 are different, the counterweight 420 and the mounting box 430 are staggered and symmetrically fixedly connected to the two sides of the axis of the rotating shaft 410, and the counterweight The total weight of 420 is greater than the total weight of the installation box 430, the micro camera 440, the micro photosensitive controller 450, the electric rotating assembly 460, the polarizer 470 and the dustproof glass 490 added together; the vertical cross-sectional shape of the counterweight block 420 is fan-shaped, and the center point of the counterweight block 420 coincides with the axis line of the rotating shaft 410; the number of the counterweight blocks 420 is two, and the two counterweight blocks 420 are symmetrically distributed on both sides of the installation box 430; the opening of the installation box 430 is embedded with a dustproof glass 490, and the vertical cross-sectional dimension of the dustproof glass 490 is greater than the vertical cross-sectional dimension of the micro camera 440; the axis lines of the top polarizer 470, the dustproof glass 490 and the micro camera 440 all coincide.
[0053] like Figure 4 and Figure 8 As shown, the electric rotating assembly 460 includes a micro-stepping motor 461 fixedly connected to the inside of the installation box 430, the end of the output shaft of the micro-stepping motor 461 is fixedly connected to a first gear 462, the surface of the first gear 462 is meshedly connected to a second gear 463, the inner side of the second gear 463 is fixedly connected to a turntable 464 rotatably connected to the installation box 430, the surface of the turntable 464 is provided with annularly distributed mounting holes 465, and the polarizer 470 is embedded and installed in the mounting hole 465;
[0054] When the micro photosensitive controller 450 detects the amount of light entering the lens of the micro camera 440 in real time and compares the detection data with the preset range data, if the detection data is not within the normal range and is within a certain range of data, the micro photosensitive controller 450 controls the micro stepping motor 461 to rotate a specified angle, the micro stepping motor 461 drives the first gear 462 to rotate a specified angle, the first gear 462 drives the second gear 463 to rotate a specified angle, the second gear 463 drives the turntable 464 to rotate a specified angle, and the turntable 464 drives all the polarizers 470 to rotate through the mounting hole 465 until the polarizer 470 with the corresponding transmittance is rotated and covers the lens of the micro camera 440, so that the amount of light entering the micro camera 440 is within the normal range, thereby ensuring that the micro camera 440 can perform shooting operations normally.
[0055] like Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 and Fig. 9 As shown, a socket 120 is provided at the top of the folding bracket 100, a positioning groove 431 connected to the socket 120 is provided at the top of the installation box 430, and the face collection mechanism 400 also includes a positioning component 480, and the positioning component 480 includes a plug plate 481 slidably connected to the inside of the socket 120, and the bottom of the plug plate 481 passes through the socket 120 and is plugged into the positioning groove 431; two spherical positioning cavities 130 are provided inside the folding bracket 100 and are both connected to the socket 120, and a rubber positioning block 482 that is clamped with the spherical positioning cavity 130 below is embedded and installed on the surface of the plug plate 481; an adjusting ring 483 is fixedly connected to the top of the plug plate 481, and the maximum horizontal cross-sectional dimension of the adjusting ring 483 is larger than the maximum horizontal cross-sectional dimension of the installation cavity 110;
[0056] When the medical staff has finished using the micro camera 440, the medical staff first rotates the installation box 430 back to the installation cavity 110. When the installation box 430 is in contact with the inner wall of the installation cavity 110, the positioning groove 431 is just aligned with the socket 120. At this time, the medical staff only needs to press down the plug plate 481 through the adjustment ring 483. The plug plate 481 passes through the socket 120 and is plugged into the positioning groove 431. At this time, the plug plate 481 fixes the installation box 430 and the micro camera 440 together through the socket 120 and hides them in the installation cavity 110. This not only makes the micro camera 440 more stable during transportation to reduce the probability of the micro camera 440 being damaged due to constant shaking, but also can fold the bracket 100 and the volume occupied by the face collection mechanism 400 to achieve the purpose of easy storage.
[0057] like Fig.10 As shown, the auxiliary diagnosis system 200 includes:
[0058] The image receiving module 210 is used to receive the face image taken by the micro camera 440;
[0059] An image AI denoising module 220 uses an AI algorithm to remove noise from a face image;
[0060] An image AI enhancement module 230 uses an AI algorithm to improve the brightness and contrast of a face image;
[0061] A feature AI extraction module 240 extracts features at specific locations of the face using an AI algorithm;
[0062] The feature AI comparison module 250 uses an AI algorithm to compare the selected features with the pre-stored features in the database to obtain the changes in the condition of the diagnosed person at that time;
[0063] The storage and management module 260 is used to centrally store the above processing flow and processing results to facilitate subsequent personnel to access the data and improve the accuracy of the review;
[0064] It should be noted that the AI algorithms mentioned above are all based on existing publicly available AI models. The principles of AI models are based on technologies and theories such as machine learning and deep learning. By building complex algorithm models such as linear regression, decision trees, support vector machines, and neural networks in deep learning, a large amount of pre-processed data is trained and optimized to capture patterns and features in the data and achieve intelligent decision-making and action. In this process, the quality, quantity, and diversity of data are crucial, and the training, evaluation, and optimization of models rely on advanced algorithms and a large amount of computing resources. AI large models, such as the GPT series, can handle more complex and diverse tasks with their ultra-large-scale parameters, complex structures, and massive data support, generate coherent and comprehensive texts, and provide strong support for the transformation and upgrading of the economy and society and the development of all walks of life. Specific AI models need to be developed accordingly according to demand, which will not be elaborated here.
[0065] Working principle: When the medical staff has adjusted the folding bracket 100, the medical staff only needs to unlock the positioning assembly 480. At this time, the installation box 430 is unobstructed, and the counterweight block 420 drives the rotating shaft 410 to rotate under the action of gravity, and the rotating shaft 410 drives the installation box 430 to rotate. When the counterweight block 420 rotates to the lowest point of the rotating shaft 410, the installation box 430 rotates to the highest point of the rotating shaft 410 and always remains in a vertical state. This can ensure that the micro camera 440 is always facing the face of the person being diagnosed, so that the micro camera 440 can capture the face of the person being diagnosed more comprehensively, effectively solving the problem that the existing facial acquisition module for auxiliary diagnosis of Alzheimer's disease based on AI technology is difficult to accurately collect data, which increases the burden on the person being diagnosed.
[0066] It should be noted that the image receiving module 210, image AI denoising module 220, image AI enhancing module 230, feature AI extraction module 240, feature AI comparison module 250, storage and management module 260, micro camera 440, micro photosensitizer 450, micro stepping motor 461 and polarizer 470 in the above description are all devices with relatively mature application of existing technology. The specific models can be selected according to actual needs. At the same time, the image receiving module 210, image AI denoising module 220, image AI enhancing module 230, feature AI extraction module 240, feature AI comparison module 250, storage and management module 260, micro camera 440, micro photosensitizer 450 and micro stepping motor 461 can be powered by a built-in power supply or by AC power. The specific power supply method is selected according to the situation and will not be elaborated here.
[0067] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0068] The above-described embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.
Claims
1. An AI-based Alzheimer's disease auxiliary diagnosis device, comprising a folding stand (100) and an auxiliary diagnosis system (200), wherein a tablet computer (300) is snapped onto the surface of the folding stand (100), characterized in that: A mounting cavity (110) is provided on the surface of the folding bracket (100), and a face collection mechanism (400) is rotatably connected inside the mounting cavity (110); The face acquisition mechanism (400) comprises a rotating shaft (410) rotatably connected to the inside of the installation cavity (110); a counterweight (420) is fixedly connected to the lower surface of the rotating shaft (410); a mounting box (430) is fixedly connected to the upper surface of the rotating shaft (410); a micro camera (440) is embedded and installed inside the mounting box (430); a micro photosensitive controller (450) is fixedly connected to the surface of the micro camera (440); an electric rotating assembly (460) is fixedly connected to the inside of the mounting box (430); polarizers (470) distributed in an annular shape are embedded and installed on the surface of the electric rotating assembly (460); and the light transmittances of two adjacent polarizers (470) are different.
2. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 1, characterized in that: The electric rotating assembly (460) comprises a micro-stepping motor (461) fixedly connected to the inside of the installation box (430); the end of the output shaft of the micro-stepping motor (461) is fixedly connected to a first gear (462); the surface of the first gear (462) is meshingly connected to a second gear (463); the inner side of the second gear (463) is fixedly connected to a turntable (464) rotatably connected to the installation box (430); the surface of the turntable (464) is provided with mounting holes (465) distributed in a ring shape; the polarizer (470) is embedded and installed inside the mounting hole (465).
3. The Alzheimer's disease auxiliary diagnosis device based on AI technology according to claim 1, characterized in that: The top of the folding bracket (100) is provided with a plug hole (120), the top of the installation box (430) is provided with a positioning groove (431) connected with the plug hole (120), and the face collection mechanism (400) further includes a positioning component (480), and the positioning component (480) includes a plug plate (481) slidably connected to the inside of the plug hole (120), and the bottom of the plug plate (481) passes through the plug hole (120) and is plugged into the positioning groove (431).
4. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 3, characterized in that: The folding bracket (100) is provided with two spherical positioning cavities (130) in communication with the insertion hole (120), and a rubber positioning block (482) is embedded and installed on the surface of the plug plate (481) and is engaged with the spherical positioning cavity (130) below.
5. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 3, characterized in that: An adjustment ring (483) is fixedly connected to the top of the plug plate (481), and the maximum horizontal cross-sectional dimension of the adjustment ring (483) is greater than the maximum horizontal cross-sectional dimension of the installation cavity (110).
6. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 1, characterized in that: The vertical cross-section of the counterweight block (420) is fan-shaped, and the center point of the counterweight block (420) coincides with the axis of the rotating shaft (410).
7. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 6, characterized in that: The number of the counterweight blocks (420) is two, and the two counterweight blocks (420) are symmetrically distributed on both sides of the installation box (430).
8. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 1, characterized in that: A dustproof glass (490) is embedded in the opening of the installation box (430), and the vertical cross-sectional dimension of the dustproof glass (490) is larger than the vertical cross-sectional dimension of the micro camera (440).
9. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 8, characterized in that: The axis lines of the polarizing filter (470), the dustproof glass (490) and the micro camera (440) at the top all coincide with each other.
10. The AI-based Alzheimer's disease auxiliary diagnosis device according to claim 1, characterized in that: The auxiliary diagnosis system (200) comprises: An image receiving module (210), used for receiving a facial image captured by the micro camera (440); An image AI denoising module (220) uses an AI algorithm to remove noise from a face image; An image AI enhancement module (230) uses an AI algorithm to improve the brightness and contrast of a face image; A feature AI extraction module (240) extracts features at specific locations on the face using an AI algorithm; The feature AI comparison module (250) uses an AI algorithm to compare the selected features with the pre-stored features in the database to obtain the changes in the condition of the diagnosed person at that time; The storage and management module (260) is used to centrally store the above-mentioned processing flow and processing results to facilitate subsequent personnel to access the data and improve the accuracy of the review.