Automatic oral cavity cleaning method, device and equipment and storage medium

Abstract

The invention discloses an automatic oral cavity cleaning method, device and equipment and a storage medium. The method comprises the following steps: emitting ultraviolet light in a preset frequency band range to excite dental plaque on the surfaces of teeth; images of teeth are collected and preprocessed; calculating the coverage rate and the distribution condition of the dental plaque through a preset algorithm; and generating a self-adaptive cleaning program based on the calculation result to clean the teeth. By emitting the ultraviolet light in the preset frequency band range to excite the dental plaque on the surface of the teeth, the dental plaque can be displayed more accurately, and a clear target is provided for subsequent cleaning. The collected tooth image is processed and analyzed based on the preset algorithm, the coverage rate and the distribution condition of the dental plaque can be rapidly and accurately calculated, and compared with a traditional oral cavity cleaning mode, the cleaning efficiency and the cleaning accuracy are greatly improved. And generating a cleaning program according to a calculation result, so that personalized cleaning can be carried out based on the coverage rate and the distribution condition of the dental plaque, and the problem of incomplete cleaning or excessive cleaning possibly existing in a traditional cleaning mode is avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of oral cleaning, and particularly relates to an automated oral cleaning method, device, equipment and storage medium. Background Art

[0002] Currently, the existing intelligent oral cleaning devices on the market mainly include electric toothbrushes, dental irrigators, etc. Both electric toothbrushes and dental irrigators need to move and change positions in the oral cavity to clean different parts. Although there are reminders for whether the cleaning is in place for the above products, they all judge the posture of the device through algorithms and then infer whether there are any parts that have not been cleaned.

[0003] However, due to the different brushing postures of each person, the original tooth cleanliness status, and even the tooth conditions of children in the tooth replacement period or the elderly with tooth loss, the above methods are obviously not reasonable enough.

[0004] Therefore, the oral cleaning devices in the prior art obviously lack the function of recommending targeted cleaning solutions for different patients. Summary of the Invention

[0005] In order to solve the above problems, the object of the present invention is to provide an automated oral cleaning method, device, equipment and storage medium, which can adaptively recommend targeted cleaning solutions for different patients, with better and more targeted cleaning effects, and beneficial to the oral health of patients.

[0006] The technical solution provided by the present invention is: an automated oral cleaning method, including the following steps: Emit ultraviolet light in a preset frequency band range to excite dental plaque on the tooth surface; Collect images of teeth and perform preprocessing; Calculate the coverage rate and distribution of dental plaque through a preset algorithm; Generate an adaptive cleaning program based on the calculation result to clean the teeth.

[0007] Preferably, emitting ultraviolet light in a preset frequency band range to excite teeth further includes: Detect whether the oral cleaning device is placed in place; When it is determined that the oral cleaning device is placed in place, drive multiple ultraviolet lamps to emit ultraviolet light to excite dental plaque on the tooth surface.

[0008] Preferably, collecting images of teeth and performing preprocessing further includes: When the lighting time of the ultraviolet lamp reaches the preset time, control the image acquisition device to collect multiple teeth images at different angles; Apply the median filtering algorithm to remove noise from the multiple teeth images and convert the color images into grayscale images; Detect key points based on the ORB algorithm and extract feature descriptors, and find corresponding feature points between images through the KNN matching algorithm; Use the RANSAC algorithm to eliminate incorrect matches, calculate the homography matrix, and determine the transformation relationship between images; Perform perspective transformation on the images according to the homography matrix to align them; Use the multi-band fusion or linear mixing method to fuse the overlapping regions, eliminate the seams, remove the redundant edges of the stitched image, and adjust the color consistency to make the stitched image natural.

[0009] Preferably, calculating the coverage rate and distribution of dental plaque through a preset algorithm further includes: Analyze the histogram of the grayscale image, and divide the histogram of the grayscale image into two categories, foreground and background, based on a preset threshold, where the preset threshold is determined based on the Otsu method; Perform binarization processing, where pixel points greater than the threshold are marked as the dental plaque area, and pixel points less than the threshold are marked as the background.

[0010] Preferably, calculating the coverage rate and distribution of dental plaque through a preset algorithm further further includes: Perform morphological optimization on the binarized image to remove noise points in the image and fill small holes in the dental plaque area to make the contour of the dental plaque area smoother and more continuous; Mark all connected regions in the image, each connected region corresponds to a dental plaque patch, and then calculate the characteristic parameters of each connected region including area, perimeter, rectangularity, etc. Through these parameters, the true dental plaque area can be further screened out, and the coverage rate and distribution of dental plaque can be calculated.

[0011] Preferably, generating an adaptive cleaning program based on the calculation result to clean the teeth further includes: Evaluate the cleanliness based on the coverage rate and distribution of dental plaque; Recommend the cleaning time and / or the concentration ratio of the cleaning solution and / or the vibration frequency or intensity of the brush bristles to the user based on the evaluation result.

[0012] Preferably, generating an adaptive cleaning program based on the calculation result to clean the teeth further further includes: Collect images of the teeth after cleaning and perform preprocessing, display the comparison of the images before and after cleaning through a display device, and perform a dental health warning based on the image after cleaning.

[0013] Based on the same concept, the present invention also provides an automated oral cleaning device, including: An ultraviolet excitation device for emitting ultraviolet light in a preset frequency band range to excite teeth; An image acquisition device for acquiring an image of teeth and performing preprocessing; A dental plaque calculation device for calculating the coverage rate and distribution of dental plaque through a preset algorithm; A program recommendation device for generating an adaptive cleaning program based on the calculation result to clean teeth.

[0014] Based on the same concept, the present invention also provides an electronic device, including: a memory for storing a processing program; a processor that implements the automated oral cleaning method described in any one of the above when executing the processing program.

[0015] Based on the same concept, the present invention also provides a readable storage medium with a processing program stored thereon, and the processing program implements the automated oral cleaning method described in any one of the above when executed by a processor.

[0016] Due to the above technical solutions, the present invention has the following advantages and positive effects compared with the prior art: The present invention can more accurately make dental plaque appear by emitting ultraviolet light in a preset frequency band range to excite dental plaque on the tooth surface, providing a clear target for subsequent cleaning. By processing and analyzing the acquired tooth image based on a preset algorithm, the coverage rate and distribution of dental plaque can be quickly and accurately calculated, greatly improving the cleaning efficiency and accuracy compared with traditional oral examination and cleaning methods. Generating an adaptive cleaning program according to the calculation result can perform personalized cleaning based on the coverage rate and distribution of dental plaque, avoiding the problems of incomplete cleaning or over-cleaning that may exist in traditional cleaning methods, and better protecting the health of teeth and gums. Description of the Drawings

[0017] The following further details the specific embodiments of the present invention in conjunction with the drawings, where: Figure 1 is a flowchart of the automated oral cleaning method of the present invention; Figure 2 is a schematic diagram of the system composition of the automated oral cleaning device of the present invention. Specific Embodiments

[0018] The following further details the present invention in conjunction with the drawings and specific embodiments. According to the following description and the claims, the advantages and features of the present invention will be clearer. It should be noted that the drawings are all in a very simplified form and use non-precise ratios, only for conveniently and clearly assisting in explaining the purpose of the embodiments of the present invention.

[0019] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the attached drawings). If the specific posture changes, the directional indications will also change accordingly.

[0020] First Embodiment As Figure 1 shown, this embodiment provides an automated oral cleaning method, including the following steps: Emit ultraviolet light within a preset frequency band range to excite dental plaque on the tooth surface; Collect an image of the teeth and perform preprocessing; Calculate the coverage rate and distribution of dental plaque through a preset algorithm; Generate an adaptive cleaning program based on the calculation result to clean the teeth.

[0021] In this embodiment, by emitting ultraviolet light within a preset frequency band range to excite dental plaque on the tooth surface, the dental plaque can be made to appear more precisely, providing a clear target for subsequent cleaning. And by processing and analyzing the collected tooth images based on a preset algorithm, the coverage rate and distribution of dental plaque can be calculated quickly and accurately. Compared with traditional oral examination and cleaning methods, the cleaning efficiency and accuracy are greatly improved. Generating an adaptive cleaning program according to the calculation result can perform personalized cleaning based on the coverage rate and distribution of dental plaque, avoiding the problems of incomplete cleaning or over-cleaning that may exist in traditional cleaning methods, and better protecting the health of teeth and gums.

[0022] The described adaptive cleaning program can control the vibration intensity or frequency of the bristles in the oral cavity cleaning device, or can also control the flow rate and velocity of the cleaning liquid. Correspondingly, the oral cleaning device is provided with bristles adapted to the teeth (such as toothbrushes, interdental brushes), and a cleaning liquid outlet. When a cleaning liquid outlet is provided, a corresponding waste liquid recovery port and a waste liquid recovery channel are also provided to avoid the user having to frequently drain the water automatically.

[0023] Preferably, emitting ultraviolet light within a preset frequency band range to excite the teeth further includes: Detect whether the oral cleaning device is placed in place; When it is determined that the oral cleaning device is placed in place, drive multiple ultraviolet lamps to emit ultraviolet light to excite dental plaque on the tooth surface.

[0024] In this embodiment, the strict placement detection mechanism ensures that ultraviolet light is emitted only when it is safe, preventing excessive potential damage to soft tissues such as oral mucosa and gums, and ensuring the oral health and safety of users. At the same time, ensuring that the oral cleaning device works in the correct position helps to maintain the stability and reliability of the entire cleaning process, reducing accidents caused by improper device placement, such as uneven irradiation and poor cleaning effect. By emitting ultraviolet light within a preset frequency band range, it is possible to accurately excite only the dental plaque on the tooth surface without having an unnecessary impact on other tissues or parts in the oral cavity, making the dental plaque easier to identify and subsequent treatment, and helping to improve the accuracy and efficiency of cleaning. Ensuring that the ultraviolet lamp is driven to emit ultraviolet light only when the oral cleaning device is placed in place can avoid incomplete cleaning or misillumination of other parts caused by incorrect placement of the device, effectively preventing the residue of dental plaque and the appearance of cleaning blind spots.

[0025] Figure 2 The schematic diagram of the system composition of the automated oral cleaning device is shown. A plurality of ultraviolet lamps are provided on the oral cleaning device, and the ultraviolet light emitted by the plurality of ultraviolet lamps can cover all teeth. To detect whether the oral cleaning device is placed in place, one or more position sensors can be placed at specific positions on the oral cleaning device, and when the corresponding signals are output by the position sensors, it can be determined that the oral cleaning device is placed in place.

[0026] Preferably, further including in collecting and preprocessing the images of teeth: When the lighting time of the ultraviolet lamp reaches the preset time, control the image acquisition device to collect multiple images of teeth at different angles; Apply the median filtering algorithm to remove noise from the multiple teeth images, and convert the color image into a grayscale image; Detect key points and extract feature descriptors based on the ORB algorithm, and find the corresponding feature points between images through the KNN matching algorithm; Use the RANSAC algorithm to eliminate incorrect matches, calculate the homography matrix, and determine the transformation relationship between images; Perform perspective transformation on the images according to the homography matrix to align them; Use the multi-band fusion or linear mixing method to fuse the overlapping regions, eliminate the seams, remove the redundant edges of the stitched image, and adjust the color consistency to make the stitched image natural.

[0027] After the ultraviolet lamp is lit for a preset time, control the image acquisition device to acquire multiple tooth images at different angles, which can capture the information on the tooth surface from multiple perspectives, more comprehensively cover all parts of the tooth, reduce the omission or misidentification of dental plaque caused by single-angle acquisition, and provide a richer data basis for subsequent analysis. Apply the median filtering algorithm to remove noise from multiple tooth images, which can effectively reduce the random noise interference in the images, make the images clearer and smoother, and is conducive to subsequent feature extraction and analysis. Converting the color image to a grayscale image not only simplifies the complexity of data processing, but also highlights the shape and texture features of the teeth, facilitating better image analysis and comparison. Through grayscale conversion and denoising processing, the contrast of the image can be enhanced, making the boundary between the teeth and dental plaque more obvious, providing better conditions for subsequent image segmentation and feature extraction, and helping to improve the accuracy and reliability of dental plaque detection. Detect key points and extract feature descriptors based on the ORB algorithm, and find corresponding feature points between images through the KNN matching algorithm, which can accurately identify the same feature points in tooth images at different angles, providing a reliable basis for subsequent image registration. The feature point-based matching method has high accuracy and robustness, and can resist the influence of factors such as image rotation, translation, and scale change to a certain extent. In this embodiment, the RANSAC algorithm is used to eliminate incorrect matches, calculate the homography matrix, determine the transformation relationship between images, and align the images through perspective transformation, which can achieve accurate registration of images at different angles, help fuse the information in multiple images into a complete coordinate system, facilitate unified analysis and processing, and improve the integrity and accuracy of oral image analysis. Adopt the multi-band fusion or linear mixing method to fuse the overlapping regions, which can make the spliced image have a natural transition, eliminate seams, remove redundant edges, adjust color consistency, and generate a seamless and natural panoramic tooth image. The fused image is more in line with the visual habits of the human eye, facilitating doctors and patients to intuitively observe the overall situation of the teeth, and at the same time providing better image quality for subsequent quantitative analysis and diagnosis.

[0028] By accurately and comprehensively detecting and analyzing the distribution of dental plaque and combining the panoramic perspective provided by image registration and fusion technologies, it is possible to detect subtle lesions and potential oral health problems on the tooth surface earlier, such as early signs of dental caries, gingivitis, etc., providing a valuable time window for timely treatment, and helping to reduce the occurrence risk and severity of diseases. Based on the fused panoramic tooth image and the accurate analysis results of dental plaque, doctors can formulate more personalized oral cleaning and treatment plans for patients. For example, focus on cleaning and caring for the areas where dental plaque is concentrated, or select appropriate treatment methods according to the shape and lesions of the teeth to improve the effectiveness and efficiency of treatment.

[0029] Preferably, calculating the coverage rate and distribution of dental plaque through a preset algorithm further includes: Analyze the histogram of the grayscale image, and divide the histogram of the grayscale image into two categories, foreground and background, based on a preset threshold, where the preset threshold is determined based on the Otsu method; Perform binarization processing, where pixel points greater than the threshold are marked as the dental plaque area, and pixel points less than the threshold are marked as the background.

[0030] In this embodiment, the Otsu method can automatically determine the optimal threshold, accurately divide the histogram of the grayscale image into two categories, foreground (dental plaque area) and background, avoiding the subjective errors and inaccuracies that may be caused by artificially setting the threshold, making the identification of the dental plaque area more accurate. Based on the accurate identification of the dental plaque area, by counting the pixel points marked as dental plaque, the coverage rate of dental plaque can be calculated more accurately, providing accurate data support for the evaluation of oral health status. And after binarization processing, there is a sharp contrast between the dental plaque area and the background, and the outline and details of the dental plaque are presented more clearly, which is conducive to further analyzing the characteristics such as the shape and size of the dental plaque, providing more information for the diagnosis and research of oral diseases. Simplifying the image into a binary image with only black and white removes a large amount of irrelevant color and texture information in the original image, making the subsequent image analysis and processing more focused on the dental plaque itself, reducing the interference of irrelevant information, and improving the processing efficiency and effect.

[0031] Preferably, calculating the coverage rate and distribution of dental plaque through a preset algorithm further further includes: Perform morphological optimization on the binarized image to remove noise points in the image and fill small holes in the dental plaque area to make the outline of the dental plaque area smoother and more continuous; Mark all connected regions in the image. Each connected region corresponds to a dental plaque patch, and then calculate the characteristic parameters of each connected region, including area, perimeter, rectangularity, etc. Through these parameters, the true dental plaque area can be further screened out, and the coverage rate and distribution of dental plaque can be calculated.

[0032] In this embodiment, morphological optimization is performed on the binarized image, which can effectively remove the noise points in the image. These noise points may be introduced due to environmental interference during image acquisition, equipment errors, or unevenness of the tooth surface. After denoising, the contour of the dental plaque area becomes clearer, reducing the possibility of misidentification, improving the quality of the image, and making the subsequent analysis results more accurate and reliable. Filling the small holes in the dental plaque area can improve the integrity of the dental plaque area. During image acquisition or processing, small holes may appear in the dental plaque area due to light reflection, shadows, etc., affecting the judgment of the true area and shape of the dental plaque. By filling the small holes, the actual shape of the dental plaque can be restored more accurately, providing a more accurate data basis for calculating the coverage rate and distribution. Marking all the connected regions in the image, with each connected region corresponding to a dental plaque patch, helps to accurately separate the dental plaque from other tissues or impurities. This ensures that only the true dental plaque area is analyzed, avoiding miscalculating other non-dental plaque areas and improving the accuracy of dental plaque identification. By calculating the characteristic parameters of each connected region, including area, perimeter, rectangularity, etc., reasonable screening conditions can be set according to the characteristics of these parameters to further screen out the true dental plaque area. For example, according to the general size range and shape characteristics of the dental plaque, areas that obviously do not conform to the characteristics of the dental plaque, such as noise areas with too small area or irregular shape, are excluded, thereby improving the specificity and accuracy of dental plaque detection.

[0033] Preferably, further comprising generating an adaptive cleaning program based on the calculation result to clean the teeth: Evaluating the cleanliness based on the coverage rate and distribution of the dental plaque; Recommending the cleaning time and / or the concentration ratio of the cleaning solution and / or the vibration frequency or intensity of the brush bristles to the user based on the evaluation result.

[0034] Everyone's oral condition is different, and the coverage rate and distribution of dental plaque also vary. Conducting a cleanliness assessment based on these specific circumstances can customize the most suitable oral cleaning plan for each user. For example, for users with a relatively high coverage rate and wide distribution of dental plaque, longer cleaning times, higher cleaning solution concentrations, higher vibration frequencies, or intensities may be required to ensure cleaning effectiveness; while for users with relatively less dental plaque, over-cleaning can be avoided, reducing potential damage to tooth enamel and gums. Users do not need to rely on experience or a unified standard for cleaning, but rather operate based on scientific and accurate assessment results, avoiding the need for repeated cleaning due to insufficient or excessive cleaning, saving time and effort, and improving the overall efficiency of oral cleaning. Different cleaning solution concentrations are suitable for different oral conditions. Recommending the cleaning solution concentration ratio based on the assessment results of dental plaque can ensure the effective utilization of the cleaning solution. For mild dental plaque problems, a lower concentration of the cleaning solution may be sufficient to achieve the cleaning purpose, avoiding unnecessary irritation to the oral mucosa and teeth caused by a high-concentration cleaning solution; while for more severe dental plaque conditions, appropriately increasing the cleaning solution concentration can better remove dental plaque and also avoid incomplete cleaning due to too low a concentration.

[0035] Preferably, further including generating an adaptive cleaning program based on the calculation result to clean the teeth: After the cleaning is completed, collect images of the teeth and perform preprocessing, display the comparison of the images before and after cleaning through a display device, and give a teeth health warning based on the image after cleaning.

[0036] Users can directly see the comparison of the teeth images before and after cleaning on the display device. This intuitive visual presentation enables users to clearly understand the actual effect of the cleaning work, such as the degree of dental plaque removal, changes in the tooth surface, etc. Even users who are not very familiar with oral cleaning can easily judge whether the cleaning is thorough through the images.

[0037] The intuitive display of the oral cleaning effect helps to enhance users' attention to oral cleaning. When users see the obvious improvement of their teeth after cleaning, they will be more proactive in maintaining good oral cleaning habits because they can truly feel the benefits brought by cleaning. When users see that the cleaning / health condition of their teeth is not good, push some warning messages and improvement suggestions to the users.

[0038] The display device can be a mobile electronic device such as a tablet computer or a mobile phone. An APP connected to the main control signal of the cavity cleaning device is installed on the mobile electronic device for image display.

[0039] Second Embodiment Based on the same concept, the present invention further provides an automated oral cleaning device, including: An ultraviolet excitation device for emitting ultraviolet light in a preset frequency band range to excite teeth; An image acquisition device for acquiring an image of teeth and performing preprocessing; A dental plaque calculation device for calculating the coverage rate and distribution of dental plaque through a preset algorithm; A program recommendation device for generating an adaptive cleaning program based on the calculation result to clean teeth.

[0040] By emitting ultraviolet light in a preset frequency band range to excite dental plaque on the tooth surface, the dental plaque can be made to appear more precisely, providing a clear target for subsequent cleaning. And by processing and analyzing the acquired tooth images based on a preset algorithm, the coverage rate and distribution of dental plaque can be calculated quickly and accurately. Compared with traditional oral examination and cleaning methods, the cleaning efficiency and accuracy are greatly improved. Generating an adaptive cleaning program according to the calculation result can perform personalized cleaning based on the coverage rate and distribution of dental plaque, avoiding the problems of incomplete cleaning or over-cleaning that may exist in traditional cleaning methods, and better protecting the health of teeth and gums.

[0041] Based on the same concept, the present invention also provides an electronic device, including: a memory for storing a processing program; a processor that implements the automated oral cleaning method described in any one of the above when executing the processing program.

[0042] Based on the same concept, the present invention also provides a readable storage medium with a processing program stored thereon, and the processing program implements the automated oral cleaning method described in any one of the above when executed by a processor.

[0043] If the automated oral cleaning method is implemented in the form of program instructions and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of this embodiment, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of software. This computer software is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present disclosure. And the foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc that can store program codes.

[0044] Those skilled in the art can clearly understand that for the sake of convenient and concise description, the specific identification content executed by the above-described system and device can refer to the corresponding process in the foregoing method embodiments.

[0045] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Even if various changes are made to the present invention, provided that these changes fall within the scope of the claims of the present invention and equivalent technologies, they still fall within the protection scope of the present invention.

Claims

1. An automated oral cleaning method, characterized in that: The following steps are involved: Emitting ultraviolet light within a preset frequency band to stimulate dental plaque on the tooth surface; Collect and pre-process images of teeth; The coverage and distribution of dental plaque are calculated through a preset algorithm; An adaptive cleaning program is generated based on the calculation results to clean the teeth.

2. The automated oral cleaning method according to claim 1, characterized in that: The method of emitting ultraviolet light within a preset frequency range to excite the teeth further includes: Check whether the oral cleaning device is in place; When it is determined that the oral cleaning device is in place, a plurality of ultraviolet lamps are driven to emit ultraviolet light to stimulate dental plaque on the surface of the teeth.

3. The automated oral cleaning method according to claim 1, characterized in that: Collecting and preprocessing the tooth image further includes: When the ultraviolet lamp is on for a preset time, the image acquisition device is controlled to acquire multiple teeth images at different angles; Applying a median filtering algorithm to remove noise from the plurality of tooth images, and converting the color images into grayscale images; Detect key points and extract feature descriptors based on the ORB algorithm, and find corresponding feature points between images through the KNN matching algorithm; Use the RANSAC algorithm to eliminate false matches, calculate the homography matrix, and determine the transformation relationship between images; Perform perspective transformation on the images according to the homography matrix to align them; Use multi-band fusion or linear blending methods to blend overlapping areas, eliminate seams, remove redundant edges of stitched images, and adjust color consistency to make the stitched image natural.

4. The automated oral cleaning method according to claim 3, characterized in that: The coverage and distribution of dental plaque calculated by the preset algorithm further includes: Analyzing a histogram of the grayscale image, and dividing the histogram of the grayscale image into two categories, foreground and background, based on a preset threshold, wherein the preset threshold is determined based on an Otsu method; Binarization is performed, and pixels greater than the threshold are marked as dental plaque areas, and pixels less than the threshold are marked as background.

5. The automated oral cleaning method according to claim 4, characterized in that: Calculating the coverage and distribution of dental plaque by a preset algorithm further includes: Morphological optimization is performed on the binarized image to remove noise points in the image and fill the small holes in the dental plaque area to make the outline of the dental plaque area smoother and more continuous. All connected areas in the image are marked, each of which corresponds to a dental plaque patch. Then the characteristic parameters of each connected area, including area, perimeter, and rectangularity, are calculated. These parameters can be used to further screen out the real dental plaque area and calculate the coverage and distribution of the dental plaque.

6. The automated oral cleaning method according to claim 5, characterized in that: Generating an adaptive cleaning program based on the calculation results to clean the teeth further includes: Cleanliness assessment based on plaque coverage and distribution; Based on the evaluation result, the cleaning time and / or the concentration ratio of the cleaning liquid and / or the vibration frequency or intensity of the bristles are recommended to the user.

7. The automated oral cleaning method according to claim 6, characterized in that: Generating an adaptive cleaning program based on the calculation results to clean the teeth further includes: After cleaning is completed, images of the teeth are collected and pre-processed, the images before and after cleaning are displayed on a display device for comparison, and dental health warnings are issued based on the images after cleaning.

8. An automatic oral cleaning device, characterized in that: include: An ultraviolet excitation device, used for emitting ultraviolet light within a preset frequency band to excite teeth; An image acquisition device, used for acquiring and preprocessing images of teeth; A dental plaque calculation device, used to calculate the coverage and distribution of dental plaque through a preset algorithm; A program recommendation device is used to generate an adaptive cleaning program to clean the teeth based on the calculation results.

9. An electronic device, characterized in that: include: A memory, the memory being used to store a processing program; A processor, wherein when executing the processing program, the processor implements the automated oral cleaning method described in any one of claims 1 to claim 7.

10. A readable storage medium, characterized in that: The readable storage medium stores a processing program, and when the processing program is executed by a processor, the automated oral cleaning method according to any one of claims 1 to 7 is implemented.

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