Description:TECHNICAL FIELD
[0001] [0001] The subject matter now disclosed relates to a system and method for monitoring and enhancing oral hygiene, and more particularly, a system of an AI-powered electric toothbrush that detects biofilm, maps the tongue surface, consumes salivary biomarkers, and provides responsive real-time adaptive feedback on brushing and individual oral health monitoring based on physiological and behavioral research data.
BACKGROUND
[0002] The sector of health and personal electronics continues to rapidly evolve and artificial intelligence (AI) has advanced significantly in creating informed use in the area of daily health, and more so, in areas of wellness. Oral care as a prerequisite for preventative health care is a field that is experiencing the introduction of intelligent systems made using sensors to provide health insight, prevention benefits, or personalized care resulting in improved outcomes. With the rise of dental caries, gum disease, and systemic diseases attributed to oral health, the interest in systems that provide oral care that exhibits intelligent, sensor driven technology with informed predictive, adaptive, and data-driven outcomes is growing.
[0003] Current electric toothbrushes have a motor than vibrating at a fixed speed or vibrations with timer reminders after a fixed period of time, and intermittent connectivity usually to a smart phone to track the duration or position of brush strokes but they lack the ability to sense "on-the-spot" oral conditions such as plaque accumulation, microbial flora, tongue coating, or the biochemical condition in our saliva. They, in general, currently perform an inconceivable brushing behaviour without real-time activity of oral status or what the user needs. The absence of real-time biosensing, an expectation to an integral hygiene application with tongue, and scalability with personalization leave it incapable to be successful options for holistic oral care. These limitations represent tasks that require an accurate detection, dynamic activity, integration of additional diagnostic options, and rapid speed-response times in appropriately sized devices for oral demand.
[0004] Thus, there is demand for a system and a method to measure biofilm levels, tongue coating, and salivary biomarkers in real-time while simultaneously assessing the brushing mechanics of the brusher and providing intelligent feedback using predictive AI-based analytics. This system improves upon existing devices that have attempted to work around established limitations by synthesizing multiple modes of sensing and diagnostics together with intelligent algorithms and a targeted oral health insight for the user to transcend a new class of personalized and preventative dental care..

SUMMARY
[0005] In an embodiment, there is a method for intelligent oral hygiene management; The method may include detecting biofilm accumulation on teeth with a bio-optical sensor on the head of an electric toothbrush; analyzing tongue coating with a multispectral imaging module on the back of the brush head; and detecting salivary biomarkers with a microfluidic strip-based sensor located close to the neckline of the toothbrush. The toothbrush contains a processor; in response to the detected biosignals in real-time, the processor is programmed to run a trained AI model that assists in diagnosing oral health conditions and change motor parameters in real-time, including frequency of vibration, duration of brushing, brushing pressure, and angle of rotation. The processor is programmed to wirelessly transmit health metrics and receive user-specific brushing recommendations using a mobile app. Regarding this communication, the processor along with any updates to the models will be connected to cloud-based learning. The processor not only owns all of the historical brushing data but also derives the user's average salivary salinity and typical microbial activity patterns to suggest an adaptive brushing protocol targeted towards the user at that time with informed consideration of the historical and current states of the user’s oral health.
[0006] In an embodiment, there is a system for AI-enhanced oral hygiene monitoring and adaptive brushing. The system includes an electric toothbrush containing integrated sensors, including biofilm sensors that assess plaque levels with optical or fluorescence-based detection; a tongue surface mapping device, on the back of the brush head, that takes multispectral images of the tongue coating; and a salivary biomarker analysis module that includes a disposable microfluidic strip that contains electrochemical sensors to test some commonly detected parameters including pH, glucose, and protein. In an embodiment, the system contains a processor that receives and integrates data from several (or all) sensors and runs a control algorithm based on AI principles or a set of parameterized rules that gets updated by the processor and responds to the detected oral state(s) in real-time by modifying the speed of the motor, the vibration pattern of the brush, and the pressure being delivered to the cleaning surface (the surface that is cleaning the teeth). The processor also communicates with the companion mobile app for user feedback, user-side (specification) or group assessment and comparison, and update of the control models based on private or cloud integration. Importantly, the processor can save the historical data for all brushing occasions, including biomarker values and parameters, or upload them to local or cloud storage, analyze the data for long-term trend purposes, and generate entrenched personalized oral hygiene protocols for time of preventative care and onsite clinical intervention support.
BRIEF DESCRIPTION OF DRAWINGS
[0007] The accompanying drawings illustrate the various embodiments of systems, methods, and other aspects of the disclosure. Any person with ordinary skills in the art will appreciate that the illustrated element boundaries (e.g., boxes, groups of boxes, or other shapes) in the figures represent one example of the boundaries. In some examples, one element may be designed as multiple elements, or multiple elements may be designed as one element. In some examples, an element shown as an internal component of one element may be implemented as an external component in another, and vice versa. Further, the elements may not be drawn to scale.
[0008] Various embodiments will hereinafter be described in accordance with the appended drawings, which are provided to illustrate and not to limit the scope in any manner, wherein similar designations denote similar elements, and in which:
[0009] According to the present invention, FIG. 1 is a schematic representation of an AI-powered electric toothbrush system comprising biofilm detection, tongue mapping, and salivary biomarker sensing modules.
[0010] According to the present invention, FIG. 2 is a block diagram illustrating the functional components of the system, including the processor, sensors, motor control unit, wireless communication module, and user interface application.
[0011] According to the present invention, FIG. 3 is a flowchart illustrating a method for real-time oral health monitoring and adaptive brushing control using AI-based analysis, in accordance with an embodiment of the present invention..

DETAILED DESCRIPTION
[0012] The present disclosure may be best understood with reference to the detailed figures and description set forth herein. Various embodiments are discussed below with reference to the figures. However, those skilled in the art will readily appreciate that the detailed descriptions given herein with respect to the figures are simply for explanatory purposes as the methods and systems may extend beyond the described embodiments. For example, the teachings presented and the needs of a particular application may yield multiple alternative and suitable approaches to implement the functionality of any detail described herein. Therefore, any approach may extend beyond the particular implementation choices in the following embodiments described and shown.
[0013] The invention described hereovercomes the kalrnating of electric toothbrushes. Traditional electric toothbrushes lack the ability to diagnose in real-time and personalize the adaptation of the user, and the need for monitoring of all of your oral health. This disclosure describes a system that integrates advanced biosensing technologies and artificial intelligence to overcome these traditional limitations. Our system includes a biofilm detection sensor utilizing optical or fluorescence spectral analysis to determine how much plaque has accumulated on tooth surfaces so that they can be compensated for timing and thoroughness of cleaning. The toothbrush system also integrates a tongue surface mapping module located on the back of the brush head to determine the tongue coating with multispectral imaging, and the tongue coating is an important factors to consider with respect to oral microbial imbalance and halitosis. The toothbrush system also includes a salivary biomarker monitoring unit, which utilizes a disposable microfluidic strip and electrochemical sensors to monitor pH, glucose, and protein concentrations*so that the user can have real-time biochemical information about their oral health. Furthermore, the system includes a processor which receives signals from the sensors (modules), and can run a machine learning-based control algorithm to adjust speed, vibration, and pressure, based on real-time signals! Finally, this system has the ability to use wireless communication to send data, to a companion mobile application that displays the data and allows for user specific feedback and cloud updates. All of these modules represent the integration of sensing, processing, and adaptive control into a technically advanced oral hygiene system that can delivery personalized, predictive, and The main goal of the present invention is to create a technologically sophisticated and intelligent oral hygiene system, which solves the limitations of traditional electric toothbrushes by allowing users to actively monitoring and a personalized way to control their brushing behavior (e.g. movements, strokes, surface coverage). To this end, the present invention discloses a multi-sensor architecture that includes biofilm detection, tongue surface mapping, and salivary biomarkers to be contained on a small electric toothbrush platform while dynamically measuring the oral environment and autonomously controlling brushing parameters (e.g. motor speed/rpm, pattern of vibrations and/or the amount of pressure applied) based on sensory data processed by an AI model autonomously assessing real-time intelligence. Further, the present can enable remote monitoring and preventative diagnostics to user activity data from the toothbrush communicating wirelessly to a mobile app providing users with behavioural analytics, at-home therapeutic tele consultative capabilities, and user-specific metrics. Another objective of the invention is to help users engage in preventative health by giving them useful information of oral biosignals so that they no longer have to wait until there is a problem, instead, promoting oral wellness and providing personalized adaptive care.
[0014] The present invention relates to an AI supported electric toothbrush system, employing multi-modal sensing and intelligent control that is designed for a personalized and adaptive oral hygiene experience that does not exist in traditional devices.The system consists of a biofilm detection sensor using fluorescence-based optical analysis/image analysis to provide real-time detection of plaque, a tongue mapping module with multispectral imaging to evaluate tongue coating to check for microbial imbalance, and a salivary biomarker monitoring unit with microfluidic electrochemical sensors that can measure pH, glucose, and protein levels related to oral health conditions. A key inventive feature resides in the onboard processor implementing a trained AI model that analyzes the biosignals to dynamically control parameters for brushing, e.g., motor speed, vibration frequency, and pressure applied to teeth, paddled during each brushing session in the preferred mode of use. This system is comprehensive with wireless connectivity to visualize a user's health and to update the AI model remotely by a companion mobile app, facilitating predictive diagnostics and preventive care. The integration of real-time biosensing, AI-driven adaptive brushing and longitudinal health data represents unique and non-obvious improvements over current electric toothbrush technologies and represent a unique technical solution for individualized oral health management.
[0015] In the present invention, FIG. 1 is a schematic diagram of the AI-powered electric toothbrush system (100) having multiple modules integrated into one product for intelligent oral health monitoring, and adaptive brushing. The system comprises a brush head (101) with biofilm detection sensors (102) which are located adjacent to the bristle area for fluorescence-based plaque analysis. There is also a tongue mapping module (103) on the opposite side of brush head (101) that has a multispectral image to evaluate tongue coating.The toothbrush also contains a salivary biomarker sensing module (105) directly adjacent the neck of the toothbrush, that consists of a disposable microfluidic cartridge (106) and electrochemical sensors (107) for pH, glucose, and levels of protein, bacteria, and microbes in saliva. The toothbrush housing contains a processor (108) configured to run an AI (Artificial Intelligence) adaptive brushing algorithm, along with a motor controller (109) which regulates the intensity of vibration, and the motion of the toothbrush head based on real-time data processing. The system is also equipped with a wireless communication module (110) to transmit data to a mobile application (111) displaying metrics related to oral health, along with personalized or customized feedback on brushing motion and pressure applied during tracking. It also incorporates a power supply module (112), such as standard rechargeable batteries that allow for portable operation.

[0016] The present invention indicates in FIG. 1 an illustrative depiction of an AI powered electric toothbrush system (100), designed to provide intelligent, adaptive, and personalized oral hygiene care management and delivery. The brush head (101) forms the basis of the design, and includes a dual-surface half-face brush head. The bristle facing side of the brush head has biofilm sensing (102) sensors that can determine/predict in real-time the biofilm presence, and quantify biofilm density depending on fluorescence or optical reflectance using a multispectral lens/technology. During brushing, the biofilm sensors can analyze the presence of microbial biofilm and plaque on teeth, provide real-time cleaning incepted feedback, and provide real-time cleaning feedback.
[0017] On the opposite side of the brush head (101) is the tongue mapping module (103), containing a multispectral image capture sensor (104). The sensor captures and analyzes the tongue's surface to estimate the extent of tongue coating. The presence of tongue biofilm is an important indicator of microbial imbalance, halitosis, and potential system health conditions.The fact that the tongue surface analysis is included in the same device is a new feature that reinforces the whole mouth hygiene routine beyond brushing the teeth.
[0018] An element located at the neck of the toothbrush assembly is the salivary biomarker sensing unit (105). This sensing unit has a disposable microfluidic cartridge (106) that includes electrochemical sensors (107). These sensors are designed to capture important biochemical properties of the saliva such as salivary pH, glucose, lactate, or protein-based bacterial markers. The sensing unit means this toothbrush can tell the user about their body's biochemical oral-health status, it is possible to combine this data, for predictive analysis or early indication of the symptoms rubbery gums (gingivitis), dry mouth, malnourishment (diet pattern).
[0019] Located within the toothbrush handle is the processor unit (108). This unit has an AI-based control algorithm programmed to utilize brushing behavior and biosignal data. The motor control unit (109) can modify the brushing patterns by adapting the speed, vibration frequency and applied pressure in association with the incoming signals from the sensors. The toothbrush also includes a wireless communication module (110) which sends the oral health information in real time to be processed on a mobile application component (111) for feedback and to the cloud for storage. All elements can be powered by one power supply module (112) - a typical rechargeable battery. The presence of these modules together provides a unique, intelligent system offering real-time monitoring with personalized adaptation for preventive oral health action.
[0020] The integration of all modules as shown in FIG.1 interrelate as a system conceptualized as one system to fulfill the new and inventive purpose of smart, real-time, tailored oral hygiene management. The biofilm detection sensors (102) provides direction for sensing plaque being cleaned off the teeth while brushing; the tongue mapping module (103) with the multispectral image sensor (104) adds the feature that currently available systems do not possess - the ability to assess tongue hygiene; the salivary biomarker sensing unit (105) with microfluidic cartridge (106) and electrochemical sensors (107) contributes real-time biochemical diagnostics in with brushing to provide early detection of an oral disease condition; those sensor modules all provide data for processing into meaningful information in the processor unit (108) which is programmed with AI based algorithms to control the motor unit (109) for adaptive action in brushing, based on physiological data inputs. The wireless communication module (110) and mobile application (111) provides near real-time feedback and health insights but it also allows for learning over time through cloud-based updates. The power source (112) provides a represent portable and independent system of operation. Overall, the combination of the multi-modal biosensing, adaptive control, and AI analytics provides an integrated, new and inventive system that can provide predictive, preventative, and personalized oral health care, in stark contrast to the prior art - it takes oral hygiene management beyond merely the brushing of teeth.
[0021] According to the present invention, FIG. 2 is a functional block diagram of the AI-Based Electric Toothbrush system (200) which illustrates a view of the internal components and their interconnections that will contribute to intelligent oral hygiene management. The centre piece of the system is the processor unit (The processor is designed to take raw data input from many sensing modules and use trained AI algorithms to continuously and dynamically adjust brushing parameters in real-time. The processor acts as the decision-maker to digest sensor data and provide control signals for system operation and output feedback.
[0022] The system comprises a biofilm detection module (202) that is connected to optical sensors in the brush head. The biofilm detection module uses fluorescence or reflectance sensing to determine the level of plaque build-up on the surfaces of teeth. The tongue mapping module (203), which contains a multispectral imaging sensor (204), captures the image from the back of the brush head to identify the coating on the tongue. The tongue mapping module represents a new objective measure of microbial oral health and halitosis. The output of both sensing modules is sent to the processor (201) for analysis.
[0023] The toothbrush also includes a salivary biomarker sensing module (205), which has a disposable cartridge (206) with a microfluidic device and a micro-electrochemical sensing unit (207). In use, the device will collect saliva samples from the area near the neck of the toothbrush and able to detect important biochemical markers such as pH, glucose or bacterial markers. Readings of the salivary biomarkers are also relayed to the processor (201) which combines the data with information from the biofilm and tongue sensors to land overall condition of the user’s oral hygiene. The processor will produce a direction for the motor control module (208) based on all of the biosignals as input to control the brush angle and hence brush speed, vibrations and duration to provide optimal and personalized cleaning.[0025] In order to provide user interaction and data visualization, the system has a wireless communication module (209) for Bluetooth and/or Wi-Fi and mobile application interface (210). The mobile application provides a visualization of real-time oral hygiene metrics, brushing performance summary visualizations and AI enabled recommendations. The mobile app has the ability to update the AI model over-the-air which will enable the AI to be improved to as to provide increased levels of personalization, and will also provide the means for any necessary changes in the delivery of care and service. The entire system is powered by a power management module (211), which has a rechargeable battery along with the circuitry designed to improve energy efficiency. In summary, the set of components in FIG. 2 can serve as a complete and cohesive ecosystem for intelligent oral care, providing a first of its kind, AI-based, biosensor-enabled oral healthcare solution.
[0024] In accordance with the present invention, the components illustrated in FIG. 2 together allow a technically enhanced or intelligent oral hygiene system to become reality because they form an integrated control and feedback system. The processor unit (201) serves as the AI engine, assessing all input from the biofilm detection module (202), and tongue mapping module (203) having multispectral imaging sensor (204), and the salivary biomarker sensing module (205) having microfluidic cartridge (206) and electrochemical sensors (207). Each sensing module provides the user with real-time data including how much microbial plaque is on the teeth, what the tongue coating looks like, sizing in relation to plaque, numbers of sub/clumps in relation to salivary cancers/biomarkers of health, along with historical, time related, metabolic data for demonstration of their boarding health and/or routine oral biofilm and placking gel. The processor wires together the levels of biofilm, tongue coating, metabolic activity, and salivic biomarkers and adjusts the brushing behavior through the motor control module (208).The wireless communication module (209) allows convenient pairing and integration with a mobile application interface (210) for customized feedback, brushing techniques and models, and updates to the AI model. The power module (211) intelligently manages power usage of components for continuous energy-efficient power to all components. When integrated together, these combined components create a new and non-obvious system that uses biosensing and AI to change a conventional toothbrush into a biosensor based AI-adaptive device that delivers continuous real-time diagnostics and customized oral health and care-so fulfilling the inventive step and relieving some of the technical problems exhibited in the prior art.
[0025] In an exemplary function, a real-time biosensing and AI-based adaptive oral care monitoring and improvement system. The system has a brush head with biofilm detection sensors designed to monitor microbial plaque using optical or fluorescence-type mechanisms. The system has a tongue mapping module on the back of the brush head which has a colored and multispectral image sensor to evaluate tongue coating density, indicating oral microbial imbalance. In an embodiment, the system also has a salivary biomarker sensing unit incorporated into the brush neck area which uses a disposable microfluidic cartridge and an electrochemical sensor to detect relevant biomarker levels including pH, glucose, and bacterial proteins. In an embodiment, the system also has a processor functionally connected to the sensor modules, programmed to run an AI model on the biosignal inputs and adapt motor controls (brushing speed, vibration frequency, and brushing pressure) in real-time.In one embodiment, the system has a wireless communication module to send data to a mobile application interface that visualizes the user's oral state, provides recommendations, and integrates cloud-model updates. In one embodiment, the system has a rechargeable power management module enabling portability and maintaining continuous operation. In combination, the components described above provide an intelligent, adaptive oral care experience that conveys diagnostic information, personalizes cleaning, and provides preventative dental care, a remedy to the technical disadvantages of a normal toothbrush and a significant innovation in smart healthcare technology.
[0026] In one embodiment, the processor is trained to take in and process data from the biofilm detection sensors, because it receives the raw data, to determine the presence, location, and severity of plaque toasted onto the tooth surface in real time. In one embodiment, the processor is trained to contextualize image data from the tongue mapping module to characterize tongue coating density and signs of microbial imbalance associated with halitosis or poor oral hygiene conditions; the system optionally informs the user of the markings on the tongue as well. In one embodiment, the processor is trained to interpret biochemical signals from the salivary biomarker sensing module, notably, for measurements of pH, glucose concentration, and protein concentration, to assess the user's oral and metabolic health condition. In one embodiment, the processor is trained to run a AI model trained on a variety of data-driven multi-modal sensing conditional relations, and which allows automated brushing parameters/settings optimization, such as menu settings for motor torque/power, motor phase speed and sense (i.e., vibration acceleration frequency control), level of pressure, brushing duration, etc. In one embodiment, the processor is trained to generate user oral health reports and motor control signals for live real time adaptation. In one embodiment, the processor is trained to communicate with a mobile application via a wireless module to send the processed data, receives AI model updates from a cloud server, and maintains historical records for user histories for trend analytics and feedback. In one embodiment, the processor is trained and detects abnormal patterns or oral health risks and provides an alert, possible yes/no action or recommends a teleconsultation through cellphone application, enabling smart dental care.
[0027] An alternate embodiment of the present invention is that the system includes an audio-visual guidance module embedded in the handle of the toothbrush and connected through the mobile application to provide real-time audio prompts and LED based visual prompts to assist the user while brushing. The processor will control each colored LED indicator and audio output based on feedback from the sensors including, for example, increased plaque detection, insufficient tongue cleaning or unusual salivary biomarker levels (early indication of a cold or flu). For example, a red LED to highlight high plaque levels and a discrete audio sound or voice member indicating to take time to brush a specific quadrant area. The green LED will indicate that the brushing technique is appropriate for the given quadrant area. This could be happening simultaneously with voice members that indicate more gentle brushing pressure and time to keep brushing. This implementation increases the user's engagement and improves the user's brushing technique while helping the visually impaired or children to better a guided brushing experience, providing added functionality and inclusiveness for the AI powered oral hygiene system from passive monitoring towards an interactive, and behavior correcting care experience.
[0028] For the purposes of allowing a practical example of how the present disclosure may be used, consider a user beginning to brush their teeth using the present invention's AI powered electric toothbrush system. As the user begins their brushing process, the biofilm detection sensors located near the bristle zone will actively measure the surfaces of the user's teeth and detect a significant amount of plaque in the upper molar area. The likeness that, at the same time, the tongue mapping module located on the back of the brush head would have also taken multispectral pictures of the tongue and suggested this mixing of biomass and identified a significant dense coating of tongue, that is likely indicative of a non-diversified biomass.While brushing, the salivary biomarker detection module evaluates a new saliva sample, indicating slightly acidic pH, and elevated glucose levels. This real-time information is then processed by the onboard AI-enabled processor, and accordingly adjusts the motor control by increasing and stimulating brushing vibration intensity and duration in the areas of interest. The mobile app connected to the system provides real-time feedback, personalized cleaning recommendations, and areas to be cleaned based on the brushing session. Once brushing is complete, the app stores the session data, provides an interface for brushing algorithm updates through the cloud, and offers recommendations to the user for additional potential action in the case of consistent irregularities that may require a dental consultation. This situation illustrates how the integrated system provides a real-time diagnostic assessment, adaptive control and potential to provide preventive information, and represents a significant improvement over the traditional electric toothbrush.
[0029] In accordance with the present invention, FIG. 3 is flow chart diagram that outlines a method for the system and method for monitoring oral health and adapting brushing behavior through real-time biosensing and AI-based control, and is illustrative of one embodiment of the present disclosure. The method begins at the Start step 302 in which the AI-powered electric toothbrush powers up to initialize all sensor modules. The method then proceeds through step 304 in which biofilm detection sensors collect optical, or fluorescence-based data to identify (and quantify) plaque build-up on the teeth. In step 306, the tongue mapping module acquires multispectral image data to quantify the microbial load and coating of the tongue.The salivary biomarker sensing module collects and analyzes saliva samples at step 308. Saliva samples are assessed using a microfluidic cartridge to determine several biochemical pattern indicators such as pH, glucose, or protein markers.
[0030] In the next step, step 310, the processor adds together all the data from sensing modules and runs a trained AI algorithm to figure out the user's current oral health status. In step 312, from the AI analysis, the motor control unit dynamically adjusts the brushing parameters that include speed, vibration frequency, brushing angle, and pressure applied to allow targeted and optimized cleaning through an adjustable brushing cycle. In step 314, the processed data and performance feedback is sent by the wireless communication module to a mobile application connected to the system which presents the user unique health metrics and personalized recommendations. In step 316, the session data is stored locally, and can be synced to a cloud-based platform to provide longitudinal tracking of health and refinement of the AI model. The methodology then proceeds to an End step 318 that concludes the adaptive brushing cycle.
[0031] [0036] The current disclosure has a number of technical advantages over conventional electric toothbrush systems that utilize fixed-speed brushing, little feedback, and have no diagnostic capability. First, the incorporation of multiple sensor modules—biofilm sensed, tongue mapping, and salivary biomarkers—enables an enormous breadth of multi-dimensional assessment of oral health conditions in real-time, something existing devices are incapable of providing.This improved multisensory scanning and detection allows the system to accurately identify plaque buildup, microbial imbalance and biochemical markers during each brushing session. Additionally, the use of a processor with an AI-based adaptive algorithm allows for dynamic user-based adjustment of motor parameters (i.e. vibration frequency, pressure force and brushing pattern) to enable individualized cleaning based on the user’s oral condition, as opposed to utilizing an arbitrary routine. Furthermore, the incorporation of wireless and mobile application features provides actionable insights from each user’s brushing habits and establishes delivery of long-term trends and preventative guidance. The ability of the system to routinely update its AI models over the internet and use cloud computing to expand the knowledge base, allows users to develop a progressively more unique and individualized experience. Combined, these innovations create a new and intelligent incremental improvement to oral hygiene mechanism with a new class of functionality, combining diagnostic feedback, individualized cleaning and preventative care, with all the limitations of traditional brushing technology eliminated.
[0032] This application provides a physical and real solution to a major technical issue in oral healthcare and smart hygiene systems, that is the lack of real-time diagnostic feedback, adaptive brushing capability, and continuous tracking of oral health condition in traditional electric toothbrushes. The invention presents a number of technical features and functions including the installation of a biofilm detection sensor for real-time plaque detection through spectral or fluorescence classification, a tongue mapping system with multispectral imaging to screen for tongue coating and microbial load, and a salivary biomarker identification module that utilizes micro-fluidic cartridges and electrochemical sensors to detect pH, glucose, and protein levels for health indicators. The sensing units are combined in the system and connected to a processor with an AI-based adaptive control algorithm that reviews the sensory inputs and adapts brushing parameters as needed, that is motor speed, vibration amplitude, and pressure force, for an informed and user-driven individualized oral cleaning approach. Using a wireless communication module and mobile interface the system can provide real-time feedback, visualize oral health trends, and offer regular updates and cloud-based learning and identification access. The integration of biosensing, analytics, and adaptation control strategies delivers a non-obvious technical approach to individualized, preventative oral health in the form of an advance function—well beyond traditional art functionality..

, Claims:CLAIMS
We Claim:
1. According to the present invention, a system for intelligent oral hygiene monitoring and adaptive brushing is disclosed, the system comprising:
a brush head (101) comprising a biofilm detection sensor (102) configured to detect plaque accumulation on teeth using optical or fluorescence-based sensing;
a tongue mapping module (103) positioned on a rear surface of the brush head, the tongue mapping module including a multispectral imaging sensor (104) configured to evaluate tongue coating;
a salivary biomarker sensing unit (105) including a microfluidic cartridge (106) and electrochemical sensors (107) configured to analyze saliva for pH, glucose, and protein-based indicators;
a processor unit (108) operatively coupled to the sensors and configured to process data and control brushing behavior;
and a motor control unit (109) configured to adjust vibration, speed, and brushing pressure based on processor output.
2. The system according to claim 1, further comprising a wireless communication module (110) configured to transmit data to a mobile application (111) and receive adaptive model updates from a remote server.
3. The system according to claim 1, wherein the processor (108) is configured to execute an artificial intelligence (AI) model trained to correlate sensor input data with optimal brushing patterns and oral health risk indicators.
4. The system according to claim 1, wherein the processor is further configured to generate alerts or visual/audio cues based on real-time oral health assessment, and communicate those cues to the user through LEDs or application notifications.
5. The system according to claim 1, further comprising a power supply module (112) including a rechargeable battery configured to support continuous operation of the processor, sensors, motor, and wireless module.

6. According to the present invention, a method for adaptive oral hygiene management is disclosed, the method comprising:
activating a toothbrush system and initializing all integrated sensor modules;
detecting biofilm on tooth surfaces using an optical biofilm detection sensor;
analyzing tongue coating using a multispectral image sensor;
and analyzing salivary biomarkers using a microfluidic electrochemical sensor.
7. The method according to claim 6, further comprising processing the sensor data using a processor configured to execute an AI model that evaluates oral health status and generates control signals.
8. The method according to claim 6, further comprising dynamically adjusting brushing parameters including motor speed, vibration frequency, and pressure based on the AI model's output.
9. The method according to claim 6, further comprising transmitting real-time brushing and oral health data to a mobile application via a wireless communication module.
10. The method according to claim 6, further comprising storing session data and uploading it to a cloud server for long-term oral health tracking and continuous training of the AI model to improve personalization.