Skin imaging device based on AI technology

Abstract

The invention relates to the technical field of skin diagnosis and treatment instruments, in particular to skin imaging equipment based on an AI technology, which comprises a detection box and a shell, and an adjusting assembly for adjusting a detection position is arranged in the side wall of the shell; driving boxes are symmetrically and fixedly connected to the side walls of the shell, and driving assemblies used for controlling the detection box to move are arranged in the driving boxes; the bottom of each driving box is provided with a clamping assembly used for adjusting the clamping position of the whole device. The adjusting assembly comprises a supporting seat and a plurality of supporting rods. The two ends of each supporting rod are fixedly connected to the outer side wall of the adjacent driving box. The supporting seats are in sliding fit with the supporting rods; a rack and a [-shaped sliding rod are slidably connected to the two sides of the supporting base respectively, and the two ends of the sliding rod are fixedly connected with the two ends of the rack respectively. The structure is complete, and the skin collection effect and the skin imaging effect can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of skin diagnosis and treatment equipment, and in particular to a skin imaging device based on AI technology. Background Art

[0002] As people pay more attention to skin health, their requirements and demands for skin imaging equipment are increasing. In the existing technology, optical imaging technology is the basis of skin imaging equipment. It uses the characteristics of light to illuminate and image the skin, and then processes various skin data based on AI technology to obtain corresponding skin images.

[0003] Existing skin imaging devices usually use spectral imaging technology to emit light of specific wavelengths to the skin and capture the reflected light to analyze various skin indicators, such as moisture, oil content, elasticity, pigment distribution, pore conditions, etc. However, when existing AI-based skin imaging devices perform large-scale skin imaging on users, they often require doctors to use handheld data set devices to scan the patient's skin, resulting in low device stability and poor quality of collected data, resulting in poor final skin imaging results.

[0004] In summary, how to solve the problem that when existing skin imaging devices perform large-scale skin imaging on users, they often need to use a handheld data collection device to scan the patient's skin, resulting in low device stability and poor data quality has become a difficult problem that needs to be solved in the current field. Therefore, it is necessary to propose an AI-based skin imaging device that can self-adjust the data collection position and improve the stability of the device. Summary of the invention

[0005] To solve the above problems, the present invention provides a skin imaging device based on AI technology. By adjusting the component design, it can adjust the data acquisition range of the user's skin over a large range, while improving the device stability during the data acquisition process, thereby improving the skin acquisition effect and skin imaging effect of the device, providing a good foundation for subsequent solutions to user skin problems.

[0006] In order to achieve the above-mentioned purpose, the technical solution of the present invention is as follows: a skin imaging device based on AI technology, comprising an intelligent imaging system for skin imaging, a detection box and a shell, wherein an adjustment component for adjusting the detection position is provided in the side wall of the shell; a drive box is symmetrically fixedly connected to the side wall of the shell, and a drive component for controlling the movement of the detection box is provided in the drive box; a clamping component for adjusting the overall clamping position of the device is provided at the bottom of the drive box.

[0007] The adjusting assembly includes a support seat and a plurality of support rods, the two ends of the support rods are respectively fixedly connected to the outer side walls of the driving box adjacent to the support seat; the support seat and the support rods are both slidably matched; the two sides of the support seat are respectively slidably connected with a rack and a "["-shaped sliding rod, and the two ends of the sliding rod are respectively fixedly connected to the two ends of the rack; a rotating rod is provided in the middle of the support seat, the rotating rod passes through the support seat and rotates with the support seat, a gear is fixedly connected to the top of the rotating rod, and the gear and the rack are meshed with each other; a worm gear is fixedly connected to the bottom of the rotating rod, and a first worm and a second worm gear are respectively meshed on both sides of the worm gear; the driving assembly is used to control the operation of the first worm gear and the second worm gear.

[0008] The detection box is fixedly connected to the side wall of the sliding rod, and the sliding rod is slidably matched with the side wall of the shell.

[0009] The technical principles of the above scheme are as follows:

[0010] The user lies flat on the bed and fixes the device to the bed through a clamping assembly.

[0011] After the device is fixed, the operation of the first worm and the second worm is controlled by the driving assembly; when the first worm and the second worm rotate in the same direction, the worm wheel itself will not rotate under the limiting action of the first worm and the second worm, and at the same time, due to the same-direction rotation of the first worm and the second worm, the worm wheel moves along one side in the width direction of the bed driven by the first worm and the second worm; at this time, the worm wheel will drive the rotating rod to move, the rotating rod will drive the support seat to slide on the support rod, and the sliding rod will also slide with the support rod, thereby driving the detection box to slide left and right along the width direction of the bed.

[0012] When the first worm and the second worm rotate in opposite directions, the worm wheel will rotate on its own due to the driving effect of the first worm and the second worm. At the same time, the rotation frequencies of the first worm and the second worm are the same, and the rotation directions are opposite. Therefore, the forces on both sides of the worm wheel are equal and opposite. Therefore, the worm wheel will not move, but will only rotate on its own, driving the upper gear to rotate; at this time, the gear will drive the rack to move, the movement of the rack will drive the sliding rod to move, and the sliding rod will drive the detection box to slide back and forth along the length of the bed.

[0013] The combination of the two allows the detection box to be aimed at any position of the patient's skin, thereby collecting skin data at any position of the user.

[0014] The above scheme has the following beneficial effects:

[0015] 1. The present invention allows the adjustment box to move freely along the width direction of the bed through the same-direction rotation of the first worm and the second worm; and allows the adjustment box to move freely along the length direction of the bed through the reverse rotation of the first worm and the second worm. By combining the free movement of the adjustment box along the length and width directions, the detection box can collect skin data at any position of the user, thereby achieving stable and comprehensive skin imaging and skin problem analysis.

[0016] 2. When skin imaging devices in the prior art perform large-scale skin imaging on users, doctors often need to use handheld data collection devices to collect data on the patient's skin, resulting in low device stability and poor quality of collected data. The present invention uses the mutual cooperation of the worm gear and the worm, as well as the gear and the rack, to enable the device to automatically adjust its position while maintaining stable operation, thereby improving the stability of the device and the quality of data collection.

[0017] 3. The present invention improves the stability of the device and the quality of data collection, thereby laying a good foundation for subsequent devices to process and analyze the collected data, making subsequent skin imaging and analysis work more efficient.

[0018] Furthermore, the driving assembly includes a controller, a first driving member and a second driving member; the first driving member is fixedly connected to the inner side wall of one of the driving boxes, and the output shaft of the first driving member passes through the adjacent side wall of the driving box and is coaxially fixedly connected to the first worm; the second driving member is fixedly connected to the inner side wall of the other driving box, and the output shaft of the second driving member passes through the adjacent side wall of the driving box and is coaxially fixedly connected to the second worm; one end of the first worm and the second worm away from the first driving member and the second driving member respectively passes through the adjacent side wall of the driving box and rotates with the side wall of the driving box; the controller is used to control the operation of the first driving member and the second driving member.

[0019] Beneficial effect: The controller can control the forward and reverse rotation of the first worm by controlling the forward and reverse rotation of the first driving member, and the controller can control the forward and reverse rotation of the second worm by controlling the forward and reverse rotation of the second driving member; the two cooperate with each other to enable the detection box to move in all directions.

[0020] Furthermore, the clamping assembly includes a mounting frame, each of which is provided with a clamping groove, each of which is slidably fitted with a clamping plate, and a telescopic rod is fixedly connected between the clamping plate and the driving box; and a controller is used to control the operation of the telescopic rod.

[0021] Beneficial effect: Place both sides of the bed between the mounting frame and the splint. At this time, the controller controls the extension of the telescopic rod, which pushes the splint toward the mounting frame, so that the splint and the mounting frame clamp the bed, thereby fixing the entire device, thereby improving the overall stability of the device and facilitating the device to collect skin data of the user.

[0022] Furthermore, a smooth layer is fixedly connected to the rotational cooperation position of the end of the first worm gear away from the first driving member and the end of the second worm gear away from the second driving member with the adjacent driving box.

[0023] Beneficial effect: During the adjustment process, the smooth layer can reduce the friction between the first worm and the second worm and the drive box, making the first worm and the second worm more stable during rotation, thereby improving the stability of the position adjustment of the detection box.

[0024] Furthermore, the intelligent imaging system includes an image acquisition module, a photoacoustic acquisition module and a data processing module.

[0025] The image acquisition module is used to acquire skin surface images of different target areas and perform enhancement processing on the acquired skin surface images; and transmit the enhanced skin surface image data to the data processing module.

[0026] The photoacoustic acquisition module is used to collect the photoacoustic information inside the skin of different target areas, and to perform noise reduction on the collected photoacoustic information inside the skin; and transmit the photoacoustic information inside the skin after noise reduction to the data processing module.

[0027] The data processing module is used to obtain the current skin image based on the skin surface images of different areas and the photoacoustic information inside the skin; the data processing module obtains the patient's skin analysis report based on the current skin image combined with the user's age, gender, living habits and living environment.

[0028] Furthermore, the data processing module is constructed based on a deep learning model; the deep learning model is trained based on several groups of different skin analysis reports; the skin analysis reports include skin data, skin problems and solutions.

[0029] Furthermore, the image acquisition module includes a high-definition camera fixedly connected to the bottom of the detection box; the skin surface image includes skin texture, spots, pores, wrinkles, oil secretion, red blood and wound images.

[0030] Furthermore, the photoacoustic acquisition module includes a number of laser sensors of different wavelengths and ultrasonic sensors of different frequencies fixedly connected to the bottom of the detection box; the internal optical information of the skin includes images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis.

[0031] Furthermore, the data processing module is also used to simulate the repaired skin according to the current solution to form a virtual skin image.

[0032] Furthermore, the data processing module also includes a data encryption unit, which encrypts the user's skin analysis report based on a DES algorithm.

[0033] Beneficial effects: By adjusting the position of the detection box, the image acquisition module uses a high-resolution HD camera to collect skin texture, spots, pores, wrinkles, oil secretion, red blood and wound images on the user's skin surface at various positions, and then enhances these images to make the image contrast and clarity higher, and then transmits the enhanced images to the data processing module.

[0034] At the same time, the photoacoustic acquisition module uses laser sensors and ultrasonic sensors to emit laser signals and ultrasonic signals to the user's skin and collect the reflected laser signals and ultrasonic signals, and then performs noise reduction processing on the collected laser signals and ultrasonic signals. The photoacoustic acquisition module obtains the images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis inside the patient's skin based on the laser signals and ultrasonic signals after noise reduction processing; the photoacoustic acquisition module then transmits the images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis inside the patient's skin to the data processing module.

[0035] The data processing module analyzes the user's skin texture status, the size of spots and pores, the distribution of wrinkles and red blood, the oil secretion and skin wounds according to the skin texture, spots, pores, wrinkles, oil secretion, red blood streaks and wound images on the user's skin surface at various locations, and then uses photoacoustic imaging technology to obtain the user's current preliminary skin image based on the images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis inside the skin, and adds the skin texture status, the size of spots and pores, the distribution of wrinkles and red blood streaks, the oil secretion and skin wounds to draw detailed features to form the user's current final skin image.

[0036] The deep learning model will analyze the user's skin problems based on the user's current final skin imaging and provide the user with corresponding solutions; the data processing module will transmit the skin analysis report summarized by the deep learning model to the encryption module for encrypted storage, and the data encryption unit will encrypt the user's skin analysis report based on the DES algorithm.

[0037] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is an axonometric diagram of a skin imaging device based on AI technology in an embodiment of the present invention.

[0039] Figure 2 It is an axonometric view of the adjustment component in an embodiment of the present invention.

[0040] Figure 3 It is a top cross-sectional view of the adjustment component in the embodiment of the present invention.

[0041] Figure 4 FIG. 4 is a flow chart of an intelligent imaging system in an embodiment of the present invention.

[0042] The figure marks in the drawings of the specification include: 1, housing; 2, drive box; 3, support rod; 4, support seat; 5, sliding rod; 6, rack; 7, rotating rod; 8, gear; 9, worm wheel; 10, first worm; 11, second worm; 12, first motor; 13, second motor; 14, detection box; 15, mounting frame; 16, splint; 17, telescopic rod. DETAILED DESCRIPTION

[0043] The following is further described in detail through specific implementation methods:

[0044] Embodiment 1:

[0045] As attached Figure 1-Figure 3 As shown: A skin imaging device based on AI technology, including an intelligent imaging system for skin imaging, a detection box 14 and a shell 1, wherein the side wall of the shell 1 is provided with an adjustment component for adjusting the detection position; the side wall of the shell 1 is symmetrically fixedly connected with a drive box 2, and the drive box 2 is provided with a drive component for controlling the movement of the detection box 14; the bottom of the drive box 2 is provided with a clamping component for adjusting the clamping position of the device.

[0046] The adjustment assembly includes a support seat 4 and a plurality of support rods 3, both ends of the support rods 3 are respectively welded to the outer side wall of the drive box 2 adjacent thereto; the support seat 4 and the support rods 3 are slidably matched; the two sides of the support seat 4 are slidably connected with a rack 6 and a "["-shaped sliding rod 5, and the two ends of the sliding rod 5 are respectively welded to the two ends of the rack 6; the detection box 14 is welded to the side wall of the sliding rod 5, and the sliding rod 5 is slidably matched with the side wall of the housing 1. A rotating rod 7 is provided in the middle of the support seat 4, and the rotating rod 7 vertically penetrates the middle of the support seat 4 and rotatably matches therewith, and a gear 8 is fixedly connected to the top of the rotating rod 7 with bolts, and the gear 8 and the rack 6 are meshed with each other; a worm gear 9 is fixedly connected to the bottom of the rotating rod 7 with bolts, and the first worm 10 and the second worm 11 are meshed on both sides of the worm gear 9; the driving assembly is used to control the operation of the first worm 10 and the second worm 11.

[0047] The driving assembly includes a controller, a first driving member and a second driving member; in this embodiment, the first driving member and the second driving member are respectively selected from a first motor 12 and a second motor 13; the first motor 12 is bolted and fixedly connected to the inner wall of one of the driving boxes 2, and the output shaft of the first motor 12 passes through the adjacent side wall of the driving box 2 and is coaxially bolted and fixedly connected to the first worm 10; the second motor 13 is bolted and fixedly connected to the inner wall of the other driving box 2, and the output shaft of the second motor 13 passes through the adjacent side wall of the driving box 2 and is coaxially bolted and fixedly connected to the second worm 11; the ends of the first worm 10 and the second worm 11 away from the first motor 12 and the second motor 13 respectively pass through the adjacent side walls of the driving box 2 and are both rotatably matched with the side walls of the driving box 2; the controller is used to control the operation of the first motor 12 and the second motor 13.

[0048] The clamping assembly includes a mounting frame 15, each of which is provided with a clamping groove, each of which is slidably fitted with a clamping plate 16, and a telescopic rod 17 is bolted and fixedly connected between the clamping plate 16 and the driving box 2; and a controller is used to control the operation of the telescopic rod 17.

[0049] The specific implementation process is as follows:

[0050] by Figure 1 For example, first, the user lies flat on the bed and sets up the mounting frames 15 and the splint 16 on both sides of the bed. At this time, the controller controls the telescopic rod 17 to extend, and the telescopic rod 17 pushes the splint 16 toward the mounting frame 15, so that the splint 16 and the mounting frame 15 clamp the bed, thereby fixing the entire device, thereby improving the overall stability of the device and facilitating the device to collect skin data of the user.

[0051] by Figure 2 For example, after the device is fixed, the first motor 12 and the second motor 13 are started by the controller, and the output shafts of the first motor 12 and the second motor 13 respectively drive the first worm 10 and the second worm 11 to rotate.

[0052] When the output shafts of the first motor 12 and the second motor 13 rotate in the same direction, the first worm 10 and the second worm 11 will also rotate in the same direction. At this time, since the first worm 10 and the second worm 11 on both sides of the worm wheel 9 rotate in the same direction, the worm wheel 9 will not rotate itself under the limiting effect of the first worm 10 and the second worm 11. At the same time, due to the same-direction rotation of the first worm 10 and the second worm 11, the worm wheel 9 will be driven by a driving force along the width direction of the bed, so that the worm wheel 9 will move along one side of the width direction of the bed without self-rotation; in this process, since the worm wheel 9 and the rotating rod 7 are fixedly connected by bolts, the worm wheel 9 will drive the rotating rod 7 to move together; and since the support seat 4 and the support rod 3 slide in cooperation, the rotating rod 7 will drive the support seat 4 to slide on the support rod 3, and the sliding rod 5 will also slide with the support rod 3. Since the detection box 14 and the sliding rod 5 are welded and fixed, the sliding rod 5 will drive the detection box 14 to slide left and right along the width direction of the bed. During this process, the output shafts of the first motor 12 and the second motor 13 both rotate forward or reverse, which can control the forward and reverse rotation of the worm, thereby controlling the worm wheel 9 and the detection box 14 to slide left or right along the width direction of the bed, thereby achieving the effect of free movement of the detection box 14 along the width direction of the bed.

[0053] When the output shafts of the first motor 12 and the second motor 13 rotate in opposite directions, the first worm 10 and the second worm 11 will also rotate in opposite directions. Due to the driving effect of the first worm 10 and the second worm 11, the worm wheel 9 will rotate on its own. At the same time, the first worm 10 and the second worm 11 have the same rotation frequency and opposite rotation directions. Therefore, the forces on both sides of the worm wheel 9 are equal and opposite. Therefore, the worm wheel 9 will not move but will only rotate on its own. At the same time, since the worm wheel 9 and the rotating rod 7 are fixedly connected by bolts, the worm wheel 9 will drive the rotating rod 7 to rotate; and since the rotating rod 7 and the gear 8 are fixedly connected by bolts, the rotating rod 7 will drive the gear 8 to rotate. Since the gear 8 and the rack 6 are meshed, the gear 8 will drive the rack 6 to slide on the support seat 4; since the rack 6 and the sliding rod 5 are fixedly connected by bolts, the rack 6 will drive the sliding rod 5 to slide on the support seat 4; since the detection box 14 and the sliding rod 5 are welded and fixed, the sliding rod 5 will drive the detection box 14 to slide back and forth along the length direction of the bed. During this process, the output shafts of the first motor 12 and the second motor 13 rotate inward or outward in opposite directions, thereby controlling the forward and reverse rotation of the worm, thereby controlling the forward and reverse rotation of the worm wheel 9, and further controlling the detection box 14 to slide forward or backward along the length direction of the bed, thereby achieving the effect of free movement of the detection box 14 along the length direction of the bed.

[0054] Combining the same-direction rotation and the reverse rotation of the first motor 12 and the second motor 13 allows the detection box 14 to move freely, so as to be aligned with the skin at any position of the patient, thereby facilitating the device to collect skin data at any position of the user.

[0055] When skin imaging devices in the prior art perform large-scale skin imaging on users, it is often necessary for doctors to hold data collection devices to collect data on the patient's skin, resulting in low device stability and poor quality of collected data. The present invention uses the mutual cooperation of the worm wheel 9 and the worm as well as the gear 8 and the rack 6 to enable the device to automatically adjust its position while maintaining stable operation, thereby improving the stability of the device and the quality of data collection, laying a good foundation for the subsequent device to process and analyze the collected data, making subsequent skin imaging and analysis work more efficient.

[0056] Embodiment 2:

[0057] As attached Figure 2-Figure 3 As shown: Different from the above embodiment, a smooth layer is integrally formed at the rotational cooperation between the end of the first worm 10 away from the first motor 12 and the end of the second worm 11 away from the second motor 13 and the adjacent drive box 2.

[0058] The specific implementation process is as follows: during the adjustment process, the smooth layer can reduce the friction between the first worm 10 and the second worm 11 and the drive box 2, so that the first worm 10 and the second worm 11 are more stable during rotation, thereby improving the stability of the position adjustment of the detection box 14.

[0059] Embodiment 3:

[0060] As attached Figure 4 As shown: Different from the above embodiment, the intelligent imaging system includes an image acquisition module, a photoacoustic acquisition module and a data processing module. The image acquisition module, the photoacoustic acquisition module and the data processing module are signal-connected to each other.

[0061] The image acquisition module is used to acquire skin surface images of different target areas, enhance the acquired images, and transmit the enhanced image data to the data processing module. The image acquisition module includes a high-definition camera bolted to the bottom of the detection box 14; the skin surface images include skin texture, spots, pores, wrinkles, oil secretion, red blood and wound images.

[0062] The main functions of the image acquisition module are as follows: after the position adjustment of the detection box 14 is completed, the image acquisition module uses a high-resolution HD camera to collect skin texture, spots, pores, wrinkles, oil secretion, red blood and wound images on the user's skin surface, and then enhances these images to make the image contrast and clarity higher, and then transmits the enhanced images to the data processing module.

[0063] The main functions of the photoacoustic acquisition module are as follows: the photoacoustic acquisition module is used to collect the internal photoacoustic information of the target skin in different areas, and to perform noise reduction on the collected internal photoacoustic wave information of the skin; the photoacoustic wave data after noise reduction is transmitted to the data processing module. The photoacoustic acquisition module includes a number of laser sensors of different wavelengths and ultrasonic sensors of different frequencies fixedly connected to the bottom of the detection box 14 by screws; the internal optical information of the skin includes images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis. Among them, the wavelengths of each laser sensor are controlled between 700nm and 2500nm and are different from each other. The laser within this wavelength range can penetrate the surface layer of the skin and reach the dermis; the frequency of each ultrasonic sensor is controlled between 2MHz and 10MH and is different from each other. The ultrasonic wave within this frequency range can penetrate the deeper skin layer and is used to evaluate the structure and morphology of the skin and internal tissues; the two are combined to collect images of skin hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis. Using lasers of different wavelengths and ultrasounds of different frequencies to perform multiple tests on the user's skin can improve the accuracy of data collection, thereby improving the final skin imaging effect.

[0064] The main functions of the data processing module are as follows: the data processing module is used to obtain the current skin image based on the skin surface images of different areas and the photoacoustic information inside the skin; the data processing module obtains the patient's skin analysis report based on the current skin image combined with the user's age, gender, living habits and living environment. The data processing module is built based on a deep learning model; the deep learning model is trained based on several groups of different skin analysis reports; the skin analysis report includes skin data, skin problems and solutions.

[0065] At the same time, the photoacoustic acquisition module uses laser sensors and ultrasonic sensors to emit laser signals and ultrasonic signals to the user's skin and collect the reflected laser signals and ultrasonic signals, and then performs noise reduction processing on the collected laser signals and ultrasonic signals. The photoacoustic acquisition module obtains the images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis inside the patient's skin based on the laser signals and ultrasonic signals after noise reduction processing; the photoacoustic acquisition module then transmits the images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis inside the patient's skin to the data processing module.

[0066] The data processing module analyzes the user's skin texture status, the size of spots and pores, the distribution of wrinkles and red blood, the oil secretion and skin wounds according to the skin texture, spots, pores, wrinkles, oil secretion, red blood streaks and wound images on the user's skin surface at various locations, and then uses photoacoustic imaging technology to obtain the user's current preliminary skin image based on the images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis inside the skin, and adds the skin texture status, the size of spots and pores, the distribution of wrinkles and red blood streaks, the oil secretion and skin wounds to draw detailed features to form the user's current final skin image.

[0067] The deep learning model will analyze the user's skin problems based on the user's current final skin imaging and provide the user with corresponding solutions.

[0068] Embodiment 4:

[0069] As attached Figure 4 As shown: Different from the above embodiment, the data processing module is also used to simulate the repaired skin according to the current solution to form a virtual skin image.

[0070] The specific implementation process is as follows: After the deep learning module gives a solution to the user's skin problem, the data processing module will simulate the repaired skin in real time according to the user's current final skin imaging mode, and provide the user with the final virtual skin image, so that the user can understand the skin effect after the solution is implemented.

[0071] Embodiment 5:

[0072] As attached Figure 4 As shown: Different from the above embodiment, the data processing module also includes a data encryption unit, and the data encryption unit encrypts the user's skin analysis report based on the DES algorithm.

[0073] The specific implementation process is as follows: the data processing module will transmit the skin analysis report summarized by the deep learning model to the encryption module for encrypted storage, and the data encryption unit will encrypt the user's skin analysis report based on the DES algorithm.

[0074] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A skin imaging device based on AI technology, comprising a detection box (14), characterized in that: It also comprises an intelligent imaging system for skin imaging and a housing (1); an adjusting component for adjusting the detection position is provided in the side wall of the housing (1); a driving box (2) is symmetrically fixedly connected to the side wall of the housing (1), and a driving component for controlling the movement of the detection box (14) is provided in the driving box (2); and a clamping component for adjusting the overall clamping position of the device is provided at the bottom of the driving box (2); The adjustment assembly comprises a support seat (4) and a plurality of support rods (3), wherein both ends of the support rods (3) are respectively fixedly connected to the outer side walls of the drive box (2) adjacent thereto; the support seat (4) and the support rods (3) are both slidably matched; The two sides of the support seat (4) are slidably connected with a rack (6) and a "["-shaped sliding rod (5), and the two ends of the sliding rod (5) are fixedly connected to the two ends of the rack (6). The middle of the support seat (4) is provided with a rotating rod (7), which passes through the middle of the support seat (4) and rotates with it. The top of the rotating rod (7) is fixedly connected with a gear (8), and the gear (8) and the rack (6) are meshed with each other. A worm gear (9) is fixedly connected to the bottom of the rotating rod (7), and a first worm (10) and a second worm (11) are respectively meshed on both sides of the worm gear (9); the driving component is used to control the operation of the first worm (10) and the second worm (11); The detection box (14) is fixedly connected to the side wall of the sliding rod (5), and the sliding rod (5) is slidably matched with the side wall of the housing (1).

2. The skin imaging device based on AI technology according to claim 1, characterized in that: The drive assembly includes a controller, a first drive member, and a second drive member; The first driving member is fixedly connected to the inner side wall of one of the driving boxes (2), and the output shaft of the first driving member passes through the adjacent side wall of the driving box (2) and is coaxially fixedly connected to the first worm (10); The second driving member is fixedly connected to the inner side wall of another driving box (2), and the output shaft of the second driving member passes through the side wall of the driving box (2) adjacent thereto and is coaxially fixedly connected to the second worm (11); One end of the first worm (10) and the second worm (11) away from the first driving member and the second driving member respectively penetrates the side wall of the driving box (2) adjacent thereto and both are rotatably matched with the side wall of the driving box (2); The controller is used for controlling the operation of the first driving member and the second driving member.

3. The skin imaging device based on AI technology according to claim 2, characterized in that: The clamping assembly comprises a mounting frame (15), the mounting frame (15) is provided with a clamping groove, a clamping plate (16) is slidably fitted in the clamping groove, and a telescopic rod (17) is fixedly connected between the clamping plate (16) and the driving box (2); and a controller is used to control the operation of the telescopic rod (17).

4. The skin imaging device based on AI technology according to claim 3, characterized in that: An end of the first worm (10) away from the first driving member and an end of the second worm (11) away from the second driving member are both fixedly connected with a smooth layer at the rotational engagement with the drive box (2) adjacent thereto.

5. The skin imaging device based on AI technology according to claim 4, characterized in that: The intelligent imaging system includes an image acquisition module, a photoacoustic acquisition module and a data processing module; An image acquisition module is used to acquire skin surface images of different target areas and perform enhancement processing on the acquired skin surface images; Transmitting the enhanced skin surface image data to a data processing module; The photoacoustic acquisition module is used to collect the photoacoustic information of the skin in different target areas, and perform noise reduction on the collected photoacoustic information of the skin; and transmit the photoacoustic information of the skin after noise reduction to the data processing module; A data processing module, used to obtain a current skin image based on skin surface images of different regions and photoacoustic information inside the skin; The data processing module generates a skin analysis report for the patient based on the current skin image combined with the user's age, gender, living habits and living environment.

6. The skin imaging device based on AI technology according to claim 5, characterized in that: The data processing module is built based on a deep learning model; the deep learning model is trained based on several sets of different skin analysis reports; the skin analysis reports include skin data, skin problems and solutions.

7. The skin imaging device based on AI technology according to claim 6, characterized in that: The image acquisition module comprises a high-definition camera fixedly connected to the bottom of the detection box (14); the skin surface image comprises skin texture, spots, pores, wrinkles, oil secretion, red blood streaks and wound images.

8. The skin imaging device based on AI technology according to claim 7, characterized in that: The photoacoustic acquisition module comprises a plurality of laser sensors of different wavelengths and ultrasonic sensors of different frequencies fixedly connected to the bottom of the detection box (14); the internal optical information of the skin comprises images of hemoglobin, melanin, vascular structure, stratum corneum, epidermis and superficial dermis.

9. The skin imaging device based on AI technology according to claim 8, characterized in that: The data processing module is also used to simulate the repaired skin according to the current solution to form a virtual skin image.

10. The skin imaging device based on AI technology according to claim 9, characterized in that: The data processing module also includes a data encryption unit, which encrypts the user's skin analysis report based on the DES algorithm.

Images