Solar-powered home use electric toothbrush and intraoral scanner system with ai monitoring

Abstract

A solar-powered oral health monitoring system, comprising a handle with integrated photovoltaic film 15; at least two interchangeable attachments: a toothbrush head 1 and an advanced intraoral scannin

Claims

1. A solar-powered oral health monitoring system for home use, comprising a handle incorporating photovoltaic film configured to harvest ambient light energy, at least two interchangeable heads attachable to the handle, wherein a first head comprises a powered toothbrush attachment and a second head comprises an intraoral scanning module, and a processor configured to process data captured by the intraoral scanning module for transmission to an external device.

2. The system of claim 1, wherein the intraoral scanning module comprises an anatomically contoured housing designed for self-guided use, a plurality of miniature camera modules positioned at different angles within the housing, each camera module comprising a custom-developed optical system configured for close-range imaging of dental surfaces, and an illumination system comprising a first light source for standard imaging and a second light source emitting wavelengths optimised for detecting subsurface demineralisation.

3. The system of claim 2, wherein the plurality of miniature camera modules comprises an occlusal and incisal imaging module for capturing biting and chewing surfaces, an anterior, cervical, and gingival surface imaging module for capturing front teeth and gingival margins, and a lingual, palatal, cervical, and gingival imaging module for capturing tongue-facing tooth surfaces and adjacent gum tissue.

4. The system of claim 2, wherein the illumination system alternates between the first and second light sources in sequential image frames, generating two distinct datasets for comprehensive oral health assessment and cavity detection analysis.

5. The system of claim 1, wherein the handle further comprises a dual-purpose attachment shaft comprising an inner conductive core for power and data transmission and an outer mechanical structure for transferring oscillatory motion to the toothbrush attachment, and an electromechanical oscillation generation assembly for driving the toothbrush attachment.

6. The system of claim 2, further comprising a distance-maintaining guide rail configured to ensure optimal focal length between the camera modules and dental surfaces during scanning, wherein the guide rail provides tactile feedback to users to improve imaging consistency.

7. The system of claim 1, wherein the intraoral scanning module further comprises an Al-driven image validation system configured to detect improper positioning and provide real-time user guidance via a connected mobile application.

8. The system of claim 1, wherein the processor is configured to transmit captured image data to an external device running an artificial intelligencebased analysis module, wherein the analysis module processes the image data to detect early signs of dental conditions and provides user-specific recommendations.

9. A method for at-home oral health monitoring using a solar-powered device, the method comprising capturing multi-spectral image data of dental surfaces using a plurality of miniature camera modules positioned at different angles within an anatomically contoured scanner housing, alternating between standard and specialised illumination wavelengths to generate paired image datasets, processing the captured image data using an artificial intelligence system, and generating diagnostic insights based on the processed image data.

10. The method of claim 9, wherein processing the captured image data comprises performing image preprocessing including colour normalisation and noise reduction, segmenting the images to isolate individual teeth and gingival boundaries, extracting features using multiple analysis pathways, and classifying the extracted features using a hybrid approach combining neural network outputs with rule-based verification algorithms.

11. The method of claim 9, wherein generating diagnostic insights comprises categorising findings into risk levels based on condition type, severity, and progression risk, and providing user guidance comprising one of monitoringrecommendations, self-care procedures, or professional dental visit recommendations.

12. The method of claim 9, further comprising generating real-time scanning guidance when captured images fail quality assessment criteria, wherein the guidance translates technical errors into actionable positioning instructions for the user.

13. A system for artificial intelligence-based oral health analysis comprising an input module configured to receive multi-spectral dental imagery, a neural network architecture comprising multiple convolutional layers optimised for dental image analysis, a segmentation module for identifying individual teeth and gingival boundaries, a feature extraction module implementing multiple parallel analysis pathways for detecting different oral health conditions, and a decision support system configured to generate risk-stratified recommendations.

14. The system of claim 13, wherein the neural network architecture comprises an input layer accepting multi-spectral image data, multiple convolutional layers with domain-specific optimisations for dental imagery, a dense layer with dropout functionality to prevent overfitting, and an output layer configured for multi-class prediction of oral health conditions.

15. The system of claim 13, wherein the feature extraction module implements analysis pathways comprising colour analysis using a calibrated dental colour space transformation, texture mapping through multi-scale filter banks tuned to detect enamel crystalline disruptions, pattern matching against a database of annotated dental conditions, shape analysis for fracture identification, and surface continuity assessment for detecting erosion patterns.

16. The system of claim 13, further comprising an adaptive learning capability implementing a federated learning approach to improve performance over time while maintaining user privacy, wherein the system stores anonymised feature representations instead of raw images, identifies detection patterns frequently resulting in user rejection, implements personalised thresholdadjustments, and optimises notification frequency to maintain user engagement.

17. The system of claim 13, further comprising a mobile application interface configured to display detected oral health conditions using visual mapping with tooth diagrams and problem highlighting, and an Al conversation interface providing condition descriptions, treatment options, and appointment booking functionality.

18. A solar-powered handle for personal care devices, comprising an external housing structure, a transparent waterproof enclosure forming part of the external housing structure, photovoltaic film positioned beneath the enclosure optimised for indoor light conditions, a rechargeable battery charged by the photovoltaic film, a power management system including a maximum power point tracking controller, and an attachment mechanism configured to connect with interchangeable functional heads.

19. The device of claim 1, wherein the interchangeable functional heads comprise one or more personal care attachments selected from a beard trimmer, a nose trimmer, a facial cleansing brush, a facial toning device, or a light therapy tool.

20. The device of claim 1, wherein the interchangeable functional heads comprise one or more kitchen appliances selected from a milk frother, a spice grinder, a small blender, or a food mixing device.A

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