Oral intelligent cleaning device and method

Abstract

The embodiments of the present specification provide an oral cavity intelligent cleaning device and method, the device at least comprising a support device, a first brush head, a first spray head, a connector and a controller, the support device connecting the first brush head and the first spray head through the connector; the support device is used for relatively fixing the oral cavity intelligent cleaning device and the user's oral cavity; the controller is used for acquiring an oral cavity cleaning scheme based on image data of the user's oral cavity; the first brush head is controlled to perform a first cleaning operation in the user's oral cavity based on the oral cavity cleaning scheme, and / or the first spray head is controlled to perform a second cleaning operation in the user's oral cavity.

Description

Technical Field

[0001] This manual relates to the field of oral hygiene, and in particular to an intelligent oral hygiene device and method. Background Technology

[0002] Existing oral hygiene devices primarily determine general basic cleaning solutions based on user needs and habits, and cannot intelligently and effectively determine personalized oral hygiene recommendations based on the actual condition of each user's oral cavity. Furthermore, when using fixed programmed parameters to clean the user's mouth, existing oral hygiene devices cannot effectively employ efficient cleaning strategies due to the varying conditions of different users' oral cavities.

[0003] Therefore, it is desirable to provide an intelligent oral cleaning device and method that can perform personalized cleaning based on the actual condition of the user's oral cavity. Summary of the Invention

[0004] One embodiment of this specification provides an intelligent oral cleaning device, characterized in that the intelligent oral cleaning device includes at least: a support device, a first brush head, a first nozzle, a connector, and a controller; the support device connects the first brush head and the first nozzle through the connector; the support device is used to fix the intelligent oral cleaning device relative to the user's oral cavity; the controller is used to acquire an oral cleaning plan based on image data of the user's oral cavity; control the first brush head to perform a first cleaning operation on the user's oral cavity based on the oral cleaning plan, and / or control the first nozzle to perform a second cleaning operation on the user's oral cavity.

[0005] One embodiment of this specification provides an intelligent oral cleaning method, which is implemented by an intelligent oral cleaning device. The intelligent oral cleaning device includes at least: a support device, a first brush head, a first nozzle, a connector, and a controller. The method is executed by the controller and includes: acquiring an oral cleaning plan based on image data of the user's oral cavity; controlling the first brush head to perform a first cleaning operation on the user's oral cavity based on the oral cleaning plan; and / or controlling the first nozzle to perform a second cleaning operation on the user's oral cavity.

[0006] One embodiment of this specification provides a computer-readable storage medium that stores computer instructions. When a computer reads the computer instructions from the storage medium, the computer executes the intelligent oral cleaning method as described in any of the preceding embodiments. Attached Figure Description

[0007] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting; in these embodiments, the same reference numerals denote the same structures, wherein:

[0008] Figure 1 This is a structural schematic diagram of an intelligent oral cleaning device according to some embodiments shown in this specification;

[0009] Figure 2 This is an exemplary flowchart of an intelligent oral cleaning method according to some embodiments of this specification;

[0010] Figure 3 This is an exemplary flowchart illustrating the determination of an oral hygiene plan according to some embodiments of this specification;

[0011] Figure 4 These are exemplary schematic diagrams of a determination model shown according to some embodiments of this specification;

[0012] Figure 5 This is an exemplary flowchart illustrating an updated oral hygiene protocol according to some embodiments of this specification. Detailed Implementation

[0013] To more clearly illustrate the technical solutions of the embodiments in this specification, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are merely some examples or embodiments of this specification. For those skilled in the art, these drawings can be applied to other similar scenarios without creative effort. Unless obvious from the context or otherwise specified, the same reference numerals in the drawings represent the same structures or operations.

[0014] It should be understood that the terms “system,” “device,” “unit,” and / or “module” used herein are one way to distinguish different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0015] As indicated in this specification and claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of expressly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements.

[0016] Flowcharts are used in this specification to illustrate the operations performed by the system according to embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0017] Figure 1 This is a structural schematic diagram of an intelligent oral cleaning device 100 according to some embodiments of this specification. The intelligent oral cleaning device 100 involved in the embodiments of this specification will be described in detail below. It should be noted that the following embodiments are only for explaining this specification and do not constitute a limitation thereof.

[0018] like Figure 1 As shown, the oral intelligent cleaning device 100 may include a support device 110, a first brush head 120, a first nozzle 130, a connector 140, a controller 150, an indicator sprayer 160, a camera device 170, a second brush head 180, and a second nozzle 190.

[0019] The support device 110 is used to fix the oral cavity cleaning device 100 relative to the user's oral cavity. For example, the support device 110 can fix the cleaning head position (such as the position of the first brush head, the first nozzle, etc.) of the oral cavity cleaning device 100 relative to the user's oral cavity. In some embodiments, the support device 110 can be moved to adjust the relative position of the oral cavity cleaning device 100 and the user's oral cavity.

[0020] The first brush head 120 can refer to a toothbrush head used for brushing the oral cavity. In some embodiments, the type of the first brush head 120 (such as brush head shape, brush head size, bristle softness, etc.) can be adjusted according to different oral cleaning programs or the user's brushing habits. For example, different users have different oral conditions, and the corresponding oral cleaning programs can be different. Accordingly, the appropriate type of brush head can be selected according to the oral cleaning program. In some embodiments, the operating parameters of the first brush head 120 can be adjusted according to different oral cleaning programs. For example, different oral problems can correspond to different operating parameters such as brushing time, brushing force, brushing angle, or brushing frequency.

[0021] In some embodiments, the first brush head 120 can perform cleaning operations according to an oral hygiene protocol under the control of the controller 150. For example, the corresponding brush head can be selected as the first brush head based on the brush head type given in the oral hygiene protocol, and the first brush head can be controlled to perform cleaning operations based on the operating parameters of the first brush head in the oral hygiene protocol.

[0022] The second brush head 180, similar to the first brush head 120, can be used to brush the oral cavity. In some embodiments, the second brush head 180 and the first brush head 120 may cover different cleaning areas. For example, the first brush head 120 may be responsible for cleaning the upper teeth, while the second brush head 180 may be responsible for cleaning the lower teeth. In some embodiments, the second brush head 180 may include one or more brush heads, which can simultaneously brush different areas of the user's oral cavity according to a corresponding specialized cleaning scheme. More details about the specialized cleaning scheme can be found in [link to relevant documentation]. Figure 3 And its related descriptions.

[0023] The first nozzle 130 can be a device capable of spraying liquid. The type of liquid sprayed can be water, disinfectant, etc. For example, the first nozzle 130 can be a water flosser. In some embodiments, the operating parameters of the first nozzle 130 can be adjusted according to different oral hygiene programs. For example, different oral problems can correspond to different operating parameters such as rotation angle, movement direction, spray pressure, water volume, or spray duration.

[0024] In some embodiments, the first nozzle 130 can perform cleaning operations according to an oral hygiene protocol under the control of the controller 150. For example, the controller 150 can control the first nozzle 130 to perform cleaning operations based on the operating parameters of the first nozzle 130 in the oral hygiene protocol.

[0025] The second nozzle 190, similar to the first nozzle 130, can be used to rinse different cleaning areas in the user's mouth. In some embodiments, the cleaning areas handled by the second nozzle 190 and the first nozzle 130 may be different. For example, the first nozzle 130 may be responsible for rinsing the upper teeth, while the second nozzle 190 may be responsible for rinsing the lower teeth. In some embodiments, the second nozzle 190 may include one or more nozzles, which can simultaneously rinse different cleaning areas in the user's mouth according to a corresponding specialized cleaning plan. More details about the specialized cleaning plan can be found in [link to relevant documentation]. Figure 3 And its related descriptions.

[0026] Connector 140 can be a device used to connect different components or to deliver water or disinfectant. Connector 140 can also be used to transmit control commands and / or signals. For example, controller 150 can send control commands and / or signals to various components of the oral intelligent cleaning device 100 (e.g., first brush head 120, second brush head 180, first nozzle 130, second nozzle 190, etc.) via connector 140 to control each component.

[0027] In some embodiments, connector 140 can be used to connect support device 110 to multiple cleaning heads such as first brush head 120, first nozzle 130, second brush head 180, and second nozzle 190. In some embodiments, connector 140 may include multiple sub-connectors, each sub-connector for connecting a cleaning head to support device 110. For example, connector 140 includes sub-connectors A, B, C, and D, wherein sub-connector A can connect first brush head 120 to support device 110, sub-connector B can connect second brush head 180 to support device 110, sub-connector C can connect first nozzle 130 to support device 110, and sub-connector D can connect second nozzle 190 to support device 110. Connector 140 can also connect support device 110 to multiple cleaning heads such as first brush head 120, first nozzle 130, second brush head 180, and second nozzle 190 in other ways, without limitation. In some embodiments, the cleaning head connected to the connector 140 can be moved within the user's mouth by moving the support device 110, thereby changing the position of the cleaning head. In some embodiments, the connection between the connector 140 and the support device 110 can be a movable connection, and correspondingly, the position of the cleaning head can be changed by finely adjusting the position of the connector 140 while keeping the position of the support device 110 unchanged.

[0028] The controller 150 can be used to control the intelligent oral cleaning device 100 to perform intelligent oral cleaning. In some embodiments, the controller 150 can control the cleaning heads connected to each sub-connector to perform corresponding cleaning operations according to the oral cleaning plan. In some embodiments, the controller 150 can be used to acquire the oral cleaning plan, control the first brush head 120 to perform a first cleaning operation in the user's oral cavity based on the oral cleaning plan, and / or control the first nozzle 130 to perform a second cleaning operation in the user's oral cavity. In some embodiments, the controller 150 can also control the second brush head 180 to perform a first cleaning operation in the user's oral cavity based on the oral cleaning plan, and / or control the first nozzle 190 to perform a second cleaning operation in the user's oral cavity.

[0029] The indicator sprayer 160 can be used as a device to spray an indicator to make dental problems visible, wherein the indicator can refer to a chemical agent used to identify dental problems (such as dental plaque). For example, the indicator may include a caries indicator, a plaque indicator, etc., and spraying a plaque indicator makes dental plaque visible. In some embodiments, the indicator sprayer 160 can spray the indicator onto the tooth surface under the control of the controller 150.

[0030] The camera device 170 can be a device used to acquire or capture images of the user's oral cavity. For example, the camera device 150 can be a miniature camera, an infrared camera, etc. The camera device 170 can be built into a brush head (such as a first brush head, a second brush head) or a spray head (such as a first spray head, a second spray head) to capture images of various locations in the user's oral cavity. In some embodiments, the camera device 170 can capture images of various locations in the user's oral cavity before cleaning the user's oral cavity, or it can capture examination images after cleaning the user's oral cavity. In some embodiments, the camera device 170 can capture images of the area displaying the indicator.

[0031] It should be noted that the above description of the oral intelligent cleaning device 100 and its various components is for convenience only and should not be construed as limiting this specification to the scope of the illustrated embodiments. It is understood that those skilled in the art, after understanding the principle of the device, may arbitrarily combine the various components or construct sub-devices connected to other components without departing from this principle.

[0032] Figure 2 This is an exemplary flowchart of an intelligent oral cleaning method according to some embodiments of this specification. In some embodiments, process 200 may be executed by controller 150. Figure 2 As shown, process 200 includes the following steps:

[0033] Step 210: Obtain an oral hygiene plan based on the image data of the user's oral cavity.

[0034] In some embodiments, the image data of the user's oral cavity may be images corresponding to part or all areas of the user's oral cavity, or images corresponding to the areas of problematic teeth in the user's oral cavity. Problematic teeth may include, but are not limited to, tartar and plaque. In some embodiments, the image data of the user's oral cavity may include a first oral cavity image and a second oral cavity image; further explanation regarding the first and second oral cavity images can be found in [reference needed]. Figure 3 And its related descriptions.

[0035] An oral hygiene plan can refer to the plan by which the intelligent oral hygiene device 100 cleans a user's oral cavity. For example, an oral hygiene plan includes the operating parameters and execution sequence of each component in the intelligent oral hygiene device 100.

[0036] In some embodiments, the oral cleaning solution may include the type of cleaning head (such as a brush head or a nozzle), the cleaning order of each cleaning head (such as cleaning individually, sequentially, or simultaneously), the cleaning area (such as the teeth, gums, tongue, and interdental spaces), the cleaning intensity (such as the vibration frequency of the brush head and the spray pressure of the nozzle), the cleaning time (such as the brushing time of the brush head and the spraying time of the nozzle), the rotation angle, and the direction of movement.

[0037] In some embodiments, the controller can directly retrieve oral hygiene plans from a memory or cloud database. The memory or cloud database may include multiple preset oral hygiene plans (such as those corresponding to user needs like daily cleaning, whitening, and polishing), from which the controller can select a suitable plan based on the user's requirements. Oral hygiene plans can also be determined in real time based on the actual condition of the user's oral cavity. For example, the oral hygiene plan can be determined based on the user's health information and the characteristics of the user's oral cavity.

[0038] For more information on determining an oral hygiene plan, please see [link to relevant information]. Figure 3 , Figure 4 And its description.

[0039] Step 220: Based on the oral hygiene plan, control the first brush head to perform the first cleaning operation on the user's oral cavity.

[0040] The first cleaning operation can refer to the cleaning operation of the brush head (e.g., the first brush head) brushing the user's mouth.

[0041] In some embodiments, the controller can control the first brush head to perform a first cleaning operation based on the operating parameters of the first brush head in the oral cleaning program. For example, the controller can control the first brush head to perform the first cleaning operation according to the operating parameters such as rotation angle, movement direction, brushing force, and brushing duration in the oral cleaning program.

[0042] Step 230: Based on the oral cleaning plan, control the first nozzle to perform a second cleaning operation on the user's oral cavity.

[0043] The second cleaning operation can refer to the cleaning operation of spraying liquid onto different areas of the user's mouth using a nozzle (e.g., the first nozzle). For example, the second cleaning operation may include rinsing the user's mouth with purified water or mouthwash by spraying it onto different parts of the mouth using the first nozzle.

[0044] In some embodiments, the controller can control the first nozzle to perform a second cleaning operation based on the operating parameters of the first nozzle in the oral cleaning program. For example, the controller can control the first nozzle to perform the second cleaning operation according to the operating parameters such as rotation angle, movement direction, spray pressure, water volume, and spray duration in the oral cleaning program.

[0045] In some embodiments, steps 220 and 230 may be performed individually, simultaneously, or sequentially. For example, the execution of the first and second cleaning operations can be determined according to an oral hygiene protocol. For instance, if the oral hygiene protocol includes only operating parameters for the first brush head to perform a cleaning operation alone (e.g., cleaning the left teeth), the controller can control only the first brush head to perform the first cleaning operation according to those operating parameters. As another example, if the oral hygiene protocol includes operating parameters for the first brush head and the first nozzle to perform cleaning operations simultaneously, the controller can control the first brush head to perform the first cleaning operation and control the first nozzle to perform the second cleaning operation simultaneously according to those operating parameters. Yet another example, if the oral hygiene protocol includes operating parameters for the first brush head and the first nozzle to perform cleaning operations sequentially, the controller can control the first brush head to perform the first cleaning operation according to those operating parameters, and then control the first nozzle to perform the second cleaning operation.

[0046] In some embodiments, the intelligent oral cleaning device 100 may include a plurality of brush heads and / or nozzles. For example, the intelligent oral cleaning device 100 may include a second brush head and a second nozzle. For more information on the second brush head and the second nozzle, see [link to relevant documentation]. Figure 1 And its description.

[0047] In some embodiments, the oral intelligent cleaning device 100 may also include other cleaning heads besides the first brush head, the first nozzle, the second brush head, and the second nozzle.

[0048] In some embodiments, the controller can determine the respective cleaning plans for the first brush head, the first nozzle, the second brush head, and the second nozzle based on the oral cleaning plan.

[0049] A division-of-labor cleaning solution can refer to a solution where each cleaning head (such as the first brush head, the first nozzle, the second brush head, and the second nozzle) cleans the user's mouth separately.

[0050] In some embodiments, the cleaning plan can be determined based on the cleaning area and oral cleaning plan of each cleaning head. For example, if the first brush head is responsible for cleaning the left teeth of the user's mouth and the second brush head is responsible for cleaning the right teeth of the user's mouth, then the part of the oral cleaning plan that cleans the left teeth can be determined as the cleaning plan for the first brush head, and the part of the oral cleaning plan that cleans the right teeth can be determined as the cleaning plan for the second brush head.

[0051] In some embodiments, the division of labor cleaning scheme can pre-group multiple cleaning heads. For example, a first brush head and a first nozzle can be set as a first group of cleaning heads, a second brush head and a second nozzle as a second group of cleaning heads, and so on, wherein the cleaning area corresponding to each group of cleaning heads can be the same. Exemplarily, the controller can control the first nozzle to perform a second cleaning operation on the tooth area after the first cleaning operation performed by the first brush head, and control the second nozzle to perform a second cleaning operation on the tooth area after the first cleaning operation performed by the second brush head.

[0052] In some embodiments, the controller can determine the cleaning schedule for each group of cleaning heads based on the cleaning time corresponding to each cleaning area in the oral hygiene plan. For example, if the cleaning time for cleaning area A is 6 minutes, the cleaning time for cleaning area B is 2 minutes, and the cleaning time for cleaning area C is 4 minutes, then the first group of cleaning heads can be assigned to cleaning area A to perform the cleaning operation, and the second group of cleaning heads can be assigned to cleaning areas B and C to perform the cleaning operation, so as to ensure that the cleaning operation of the above three cleaning areas can be completed simultaneously.

[0053] In some embodiments of this specification, multiple sets of brush heads and nozzles are used to clean the user's oral cavity according to a division of labor cleaning plan, which can improve the cleaning efficiency of the user's oral cavity, reduce the cleaning time, and at the same time enhance the user experience.

[0054] In some embodiments of this specification, the oral cleaning program performs related cleaning operations on the user's oral cavity, enabling intelligent cleaning of various areas / parts of the user's oral cavity.

[0055] It should be noted that the above description of the process is for illustrative purposes only and does not limit the scope of this specification. Those skilled in the art can make various modifications and changes to the process under the guidance of this specification. However, these modifications and changes remain within the scope of this specification.

[0056] Figure 3 This is an exemplary flowchart illustrating the determination of an oral hygiene plan according to some embodiments of this specification.

[0057] In some embodiments, process 300 may be executed by controller 150. For example... Figure 3 As shown, process 300 includes the following steps:

[0058] Step 310: Control the camera device to acquire the first oral cavity image of the user's oral cavity.

[0059] The first oral image can refer to an image of the user's mouth before oral cleaning. The first oral image can include images of multiple areas / sites such as teeth, gaps between teeth, and gums. The first oral image can be one or more images, or it can be one or more frames from a video.

[0060] In some embodiments, the first oral cavity image can be acquired using a camera device. The camera device can capture images and / or record video of the user's oral cavity under the instruction of a controller to acquire the first oral cavity image. In some embodiments, the controller can also analyze and process the images and / or videos captured by the camera device (e.g., image processing, recognition processing) to obtain a processed first oral cavity image.

[0061] Step 320: Control the indicator sprayer to spray the indicator into the user's mouth to determine the target area, and control the camera device to acquire a second oral image of the target area.

[0062] An indicator can refer to a chemical agent used to identify dental problems such as plaque. For example, indicators may include caries indicators, plaque indicators, etc. Indicators make dental problems (such as plaque) visible and can determine the severity of the problem based on the results presented by the indicator, through differences in brightness or color. In some embodiments, a controller can control an indicator sprayer to spray the indicator into the user's mouth.

[0063] The target area can refer to the area of ​​the tooth where abnormalities are identified using an indicator. For example, the target area could be an area with plaque or a gap between teeth where food residue is present.

[0064] In some embodiments, the target area may be a tooth area that includes dental plaque.

[0065] In some embodiments, the controller can spray plaque indicator via an indicator sprayer to display areas where plaque is present. The controller can also determine the severity of plaque based on factors such as the intensity of plaque discoloration and color differentiation.

[0066] The second oral cavity image can refer to the image corresponding to the target region. The second oral cavity image can include images of multiple tooth regions. It can be one or more images, or one or more frames from a video.

[0067] In some embodiments, the second oral cavity image can be acquired using a camera device. For example, the camera device can capture and / or record video of the user's oral cavity after the indicator sprayer has sprayed the indicator, thereby obtaining a second oral cavity image. In some embodiments, the controller can also perform analysis and processing (e.g., image processing, recognition processing) on ​​the images and / or videos captured by the camera device to obtain a processed second oral cavity image.

[0068] Step 330: Determine an oral cleaning plan based on the first oral cavity image and the second oral cavity image.

[0069] In some embodiments, the oral cleaning program includes at least the cleaning intensity and cleaning duration of the first cleaning operation performed by the first brush head.

[0070] Cleaning intensity can refer to the pressure applied to the tooth surface by the first and second brush heads during the first cleaning operation. In some embodiments, the controller can control the pressure applied when the first brush head contacts the user's teeth based on parameters such as the shape, area, and hardness of the first brush head, in order to determine the cleaning intensity of the oral cleaning program.

[0071] In some embodiments, the controller can determine different cleaning intensities based on different tooth areas. For example, the controller can determine different cleaning intensities based on the severity of plaque on the tooth surface, with more severe areas requiring greater cleaning intensity.

[0072] Cleaning duration can refer to the preset duration of the teeth cleaning operation. In some embodiments, the controller can determine different cleaning durations based on different tooth areas. For example, the controller can determine different cleaning durations based on the severity of plaque on the tooth surface, with more severely affected areas requiring longer cleaning times.

[0073] It should be noted that the controller can also adjust the cleaning intensity based on the cleaning duration. For example, users can preset a cleaning duration threshold. When the cleaning duration of the oral hygiene program exceeds this threshold, the controller can appropriately increase the cleaning intensity to reduce the cleaning duration.

[0074] In some embodiments, the controller can analyze and process the first oral cavity image and the second oral cavity image. For example, the controller can analyze the grayscale changes, color distortion, etc., of the images and extract tooth features (e.g., the color, area, and length of dental plaque). The controller can further compare or match the tooth features with the tooth features of multiple reference images in the image library to determine a target reference image and determine the reference cleaning plan corresponding to the target reference image as the oral cavity cleaning plan. The image library includes multiple reference images, which can be multiple oral cavity images including dental plaque images of different areas, lengths, and severity. Each reference image can have a corresponding reference cleaning plan pre-set based on prior knowledge or authoritative medical institutions.

[0075] In some embodiments, the controller can also determine an oral hygiene plan based on a deterministic model; see details below. Figure 4 And its description.

[0076] Some embodiments in this specification determine the corresponding oral cleaning plan by using the user's oral cavity image and dental plaque image, which can make the oral cleaning plan more targeted.

[0077] Figure 4 This is an exemplary schematic diagram illustrating the determination of a cleaning scheme based on a deterministic model according to some embodiments of this specification.

[0078] In some embodiments, the controller can process the first oral cavity image and the second oral cavity image based on a deterministic model to determine an oral cleaning plan.

[0079] The determining model can refer to the model used to determine an oral hygiene protocol. In some embodiments, the determining model can be a trained machine learning model. For example, the determining model can include any one or a combination of recurrent neural network models, convolutional neural networks, or other custom model structures.

[0080] In some embodiments, the controller can input a first oral cavity image and a second oral cavity image into a determination model, process the first oral cavity image and the second oral cavity image based on the determination model, and output an oral cavity cleaning plan.

[0081] In some embodiments, such as Figure 4 As shown, the determination model 400 may include an annotation layer 430 and a determination layer 450. The controller may process the first oral cavity image and the second oral cavity image 410 based on the annotation layer 430 to determine a first severity 440, and process the first severity 440 based on the determination layer 450 to determine an oral cleaning plan 460.

[0082] The first severity level can refer to the degree of plaque damage in the target area before cleaning the user's mouth. For example, the first severity level can be a value in the range [0, 1], with a higher value indicating more severe plaque damage.

[0083] The initial severity of different target areas within the same user's oral cavity can differ. Accordingly, the initial severity of each target area can be determined, and different cleaning protocols can be applied to target areas with different initial severity. In this case, the initial severity determined by the controller can be represented by a vector.

[0084] In some embodiments, the controller can determine multiple target regions based on a first oral image and a second oral image, and extract plaque features for each target region (e.g., the size of the target region, and features such as the length, area, and color of the plaque within the target region), thereby determining the severity (i.e., first severity) of the plaque in each target region. For example, the first severity of a target region can be represented by (x, y, w, h, k). Here, x, y, w, and h represent the center point (x, y) of the target region, the width w, and the length h, respectively; k represents the first severity of the target region. The first severity can be in array or matrix form. For example, for multiple target regions, the first severity can be a vector matrix consisting of (x1, y1, w1, h1, k1), (x2, y2, w2, h2, k2), and (x3, y3, w3, h3, k3). Each vector element represents a target region and the severity of the plaque in that target region.

[0085] The annotation layer 430 takes a first oral cavity image and a second oral cavity image 410 as input and outputs a first severity 440. In some embodiments, the annotation layer 430 may be a convolutional neural network (CNN) model.

[0086] In some embodiments, the parameters of the annotation layer 430 can be obtained by transferring the parameters of the annotation model 420. For example, the controller can use the parameters of the trained annotation model as the parameters of the annotation layer 430. For more information on annotation models, see [link to documentation]. Figure 5 And its description.

[0087] The input to the determining layer 450 is the first severity 440 output from the annotation layer 430, and the output is the oral hygiene plan 460. In some embodiments, the determining layer 450 may be a deep neural network (DNN) model.

[0088] In some embodiments, the determination layer and the annotation layer can be obtained through joint training. The sample data for joint training includes multiple sets of sample first oral cavity images and sample second oral cavity images acquired by a camera device, wherein the user's oral cavity corresponding to the sample first oral cavity image and sample second oral cavity image in each set of samples is the same. The label can be the oral hygiene plan corresponding to each set of samples. The label can be based on manual annotation or other feasible methods.

[0089] For example, the controller can input a first oral cavity image and a second oral cavity image as sample data into the annotation layer to obtain a first severity score output by the annotation layer. The controller can then input the first severity score as sample data into the determination layer to obtain an oral hygiene plan. The controller can construct a loss function based on the output of the determination layer and the labels, and iteratively update the parameters of both the annotation layer and the determination layer based on the loss function until preset conditions are met and training is complete, resulting in a trained annotation layer and a determination layer. The preset conditions can be that the loss function is less than a threshold, convergence, or the training period reaches a threshold.

[0090] In some embodiments of this specification, by determining the model to process the first oral cavity image and the second oral cavity image, an oral cleaning plan can be obtained in real time, faster and more accurately. At the same time, the parameters of the annotation layer determined by transfer learning based on the trained annotation model can reduce the time cost and effort consumed by training the annotation layer in the model.

[0091] Figure 5 This is an exemplary flowchart illustrating an oral hygiene program updated according to some embodiments of this specification.

[0092] In some embodiments, process 500 may be executed by controller 150. For example... Figure 5 As shown, process 500 includes the following steps:

[0093] Step 510: Process the first oral cavity image and the second oral cavity image based on the annotation model to determine the first severity.

[0094] The labeled model can refer to the model used to determine the first severity. For example, the labeled model can include any one or a combination of recurrent neural network models, convolutional neural networks, or other custom model structures.

[0095] The input to the labeled model can include a first oral cavity image and a second oral cavity image, and the output can be a first severity level.

[0096] In some embodiments, the annotation model can be trained based on a large number of labeled training samples. For example, multiple labeled training samples can be input into an initial annotation model, a loss function can be constructed using the labels and the results of the initial annotation model, and the parameters of the initial annotation model can be iteratively updated based on the loss function using gradient descent or other methods. The model training is complete when preset conditions are met, resulting in a trained annotation model. These preset conditions may include loss function convergence, the number of iterations reaching a threshold, etc.

[0097] In some embodiments, the training samples can be a first oral cavity image and a second oral cavity image of a sample user. The label can be the corresponding first severity. The label can be obtained manually or by other means.

[0098] Step 520: After performing the first cleaning operation and / or the second cleaning operation, acquire inspection images based on the camera device.

[0099] The inspection image can be an image of the target area obtained after the cleaning operation is performed. For example, after performing the first and second cleaning operations on the upper teeth in the oral cavity, the imaging device can take pictures of the upper teeth in the oral cavity and obtain an inspection image.

[0100] Step 530: Process the test image based on the annotation model to determine the second severity.

[0101] The second severity level refers to the degree of plaque buildup after a dental cleaning. For example, the second severity level can be a value within the range [0, 1], with higher values ​​indicating more severe plaque buildup. Similar to the first severity level, the explanation for the second severity level can be found here.

[0102] In some embodiments, the controller can input the test image into a trained labeled model and output a determination of the second severity.

[0103] Step 540: Determine the first degree of oral cleanliness of the user based on the first degree of severity and the second degree of severity.

[0104] First cleanliness level refers to the actual cleanliness level determined after implementing an oral hygiene program. First cleanliness level can be a value within the range [0, 1], with a higher value indicating better cleaning results.

[0105] In some embodiments, the controller may determine a first cleanliness level based on a first severity level and a second severity level. For example, the controller may determine the first cleanliness level as the ratio of the difference between the first severity level and the second severity level to the first severity level. For instance, if the first severity level is 0.8 and the second severity level is 0.2, the first cleanliness level can be determined as (0.8 - 0.2) / 0.8 = 0.75.

[0106] Step 550: Determine whether to update the oral hygiene protocol based on the examination images and / or the first cleanliness level.

[0107] In some embodiments, the controller sends an effectiveness test image to the user, who then determines whether to continue cleaning, and if so, the cleaning intensity and duration. For example, if the test image still shows plaque, the user can choose to continue brushing for two more minutes and adjust the intensity accordingly.

[0108] In some embodiments, the controller determines whether to update the oral hygiene protocol based on the relationship between a first level of cleanliness and a preset threshold. For example, if the first level of cleanliness is greater than the preset threshold, cleaning may not continue. If the first level of cleanliness is less than the preset threshold, cleaning may continue, and the oral hygiene protocol may be updated.

[0109] In some embodiments, the controller may also determine whether to update the oral hygiene protocol based on a second cleanliness level, wherein the second cleanliness level refers to the cleanliness level predicted by a prediction model before the oral hygiene protocol is implemented.

[0110] In some embodiments, the controller may process the first severity and oral hygiene protocol based on a predictive model to determine the second degree of oral cleanliness of the user's mouth.

[0111] A predictive model can refer to a model used to determine the second degree of cleanliness of a user's oral cavity. For example, a predictive model can include any one or a combination of recurrent neural network models, convolutional neural networks, or other custom model structures.

[0112] The input to the predictive model can include the first severity level and the oral hygiene plan, and the output is the second cleanliness level.

[0113] In some embodiments, the prediction model can be trained based on a large number of labeled training samples. For example, multiple labeled training samples can be input into the initial prediction model, and a loss function can be constructed using the labels and the results of the initial prediction model. The parameters of the initial prediction model are then iteratively updated based on the loss function using gradient descent or other methods. The model training is complete when preset conditions are met, resulting in a trained prediction model. These preset conditions may include loss function convergence, the number of iterations reaching a threshold, etc.

[0114] In some embodiments, the training samples can be a sample user's first severity and a sample oral hygiene regimen. The label can be a second cleanliness level.

[0115] In some embodiments, the label of the predictive model can be determined based on the second severity of the annotation model's labeling of the test image. For example, a first cleanliness level can be determined based on the second severity and first severity of the annotation model's labeling of the test image, and used as the label of the predictive model.

[0116] In some embodiments of this specification, the labels of the prediction model are obtained by processing the test images through the labeling model, which can solve the problem of difficult label acquisition during model training, and the obtained labels are more accurate.

[0117] In some embodiments of this specification, by acquiring inspection images, the cleaning effect of the current oral cleaning program can be determined, and then, based on the cleaning effect, it can be determined whether to continue cleaning and adjust the cleaning intensity, time, frequency, etc., to achieve a better oral cleaning effect.

[0118] It should be noted that the above description of the process is for illustrative purposes only and does not limit the scope of this specification. Those skilled in the art can make various modifications and changes to the process under the guidance of this specification. However, these modifications and changes remain within the scope of this specification.

[0119] The basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

[0120] Furthermore, this specification uses specific terms to describe embodiments thereof. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that references to "an embodiment," "one embodiment," or "an alternative embodiment" in different locations throughout this specification do not necessarily refer to the same embodiment. Moreover, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0121] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this specification are not intended to limit the order of the processes and methods described herein. Although various examples have been discussed in the foregoing disclosure of some embodiments of the invention that are currently considered useful, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the spirit and scope of the embodiments described herein. For example, while the system components described above can be implemented using hardware devices, they can also be implemented solely using software solutions, such as installing the described system on existing servers or mobile devices.

[0122] Similarly, it should be noted that, in order to simplify the description disclosed herein and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of embodiments in this specification may sometimes combine multiple features into a single embodiment, drawing, or description thereof. However, this method of disclosure does not imply that the subject matter of this specification requires more features than those mentioned in the claims. In fact, the embodiments contain fewer features than all the features of a single embodiment disclosed above.

[0123] In some embodiments, numbers describing the quantity of components and attributes are used. It should be understood that such numbers used in the description of embodiments are modified in some examples with the terms "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may be changed depending on the characteristics required by individual embodiments. In some embodiments, numerical parameters should take into account specified significant digits and employ a general method of digit reservation. Although the numerical ranges and parameters used to confirm their breadth of range in some embodiments of this specification are approximate values, in specific embodiments, such values ​​are set as precisely as feasible.

[0124] For each patent, patent application, patent application publication, and other material, such as articles, books, specifications, publications, and documents, referenced in this specification, the entire contents of which are incorporated herein by reference. This excludes historical application documents that are inconsistent with or conflict with the content of this specification, as well as documents that limit the broadest scope of the claims in this specification (currently or subsequently appended to this specification). It should be noted that in the event of any inconsistency or conflict between the descriptions, definitions, and / or terminology used in the supplementary materials to this specification and the content of this specification, the descriptions, definitions, and / or terminology used in this specification shall prevail.

[0125] Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments described herein. Other variations may also fall within the scope of this specification. Therefore, alternative configurations of the embodiments described herein are intended to be illustrative rather than limiting, and should be considered consistent with the teachings of this specification. Accordingly, the embodiments described herein are not limited to those explicitly introduced and described herein.

Claims

1. An intelligent oral cleaning device, characterized in that, The oral intelligent cleaning device includes at least: a support device, a first brush head, a first nozzle, a connector, and a controller, wherein the support device connects the first brush head and the first nozzle through the connector; The support device is used to fix the intelligent oral cleaning device relative to the user's oral cavity; The controller is used for: An oral hygiene plan is obtained based on the image data of the user's oral cavity; Based on the oral cleaning solution, the first brush head is controlled to perform a first cleaning operation on the user's oral cavity, and / or the first nozzle is controlled to perform a second cleaning operation on the user's oral cavity; The intelligent oral cleaning device further includes a camera device and an indicator sprayer; to obtain the oral cleaning plan based on the image data of the user's oral cavity, the controller is also used for: Control the camera device to acquire a first oral cavity image of the user's oral cavity; The system controls the indicator sprayer to spray an indicator into the user's oral cavity to determine a target area, and controls the camera device to acquire a second oral image of the target area, which includes dental plaque; and Based on the first oral cavity image and the second oral cavity image, the oral cavity cleaning plan is determined, and the oral cavity cleaning plan includes at least the cleaning force and cleaning duration of the first cleaning operation performed by the first brush head; After performing the first cleaning operation and / or the second cleaning operation, an effect verification image is acquired based on the camera device; Based on the effect verification image and / or the first cleanliness, determine whether to update the oral cleaning plan, where the first cleanliness refers to the actual cleanliness determined after implementing the oral cleaning plan; The intelligent oral cleaning device further includes: a second brush head and a second nozzle, wherein the second brush head and the second nozzle correspond to different cleaning areas than the first brush head and the first nozzle; The intelligent oral cleaning device is further configured as follows: Based on the oral cleaning solution, the respective cleaning tasks of the first brush head, the first nozzle, the second brush head, and the second nozzle are determined.

2. The intelligent oral cleaning device according to claim 1, characterized in that, To determine the oral hygiene plan based on the first oral image and the second oral image, the controller is further configured to: The oral cavity image and the second oral cavity image are processed based on a deterministic model to determine the oral cavity cleaning plan; The determining model is a machine learning model, which includes an annotation layer and a determining layer. The input of the annotation layer is the first oral cavity image and the second oral cavity image, and the output of the annotation layer is the first severity. The input of the determining layer is the first severity, and the output of the determining layer is the oral hygiene plan.

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