Mixed Reality Dental Overlay With AI Face Tracking Precision
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Solution Overview
Problem
Dentists lack real-time visualization during dental procedures, leading to potential errors and discomfort due to the reliance on traditional methods without direct visualization support.
Innovation Solution
A mixed reality system that superimposes visual data onto a patient's face using a fine-tuned AI model for real-time recognition and tracking, overlaying 3D models and treatment plans directly onto the patient's anatomy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used during dental procedures, then device complexity is reduced, but measurement precision and manufacturing precision deteriorate due to lack of real-time visualization
Solution Approach 1:
A mixed reality device serves as an intermediary between the dentist and the patient's anatomy. The device overlays virtual visual data (such as 3D models of teeth, bones, and soft tissues) onto the physical anatomical structures through augmented reality visualization, enabling precise measurement and guidance without requiring complex surgical instruments or tools
Solution Approach 2:
The patent replaces traditional mechanical measurement and visualization methods with digital and optical systems. Instead of relying on physical templates, markers, or manual measurement tools, the system uses computer-generated 3D models, machine learning algorithms for anatomical recognition, and mixed reality display technologies to provide real-time visualization and guidance
2Manufacturing precision
If real-time visualization is provided during dental procedures, then manufacturing precision is improved, but loss of time increases due to additional system setup and training requirements
Solution Approach 1:
The system performs preliminary actions by pre-processing patient data (such as 3D scans, MRI, or CT images) before the actual procedure. Machine learning models are trained in advance on anatomical data, and virtual 3D models are generated and prepared beforehand. This allows the mixed reality device to quickly overlay accurate visual guidance during the procedure without requiring time-consuming real-time processing or complex setup routines
Solution Approach 2:
The mixed reality device is designed to automatically track and recognize anatomical structures using machine learning algorithms, eliminating the need for manual registration or complex alignment procedures. The system self-adjusts to maintain accurate overlay by continuously tracking the patient's anatomy and updating the virtual models in real-time, reducing the time required for setup and calibration
3Measurement precision
If a fine-tuned AI model is used for facial recognition, then measurement precision is improved, but device complexity and training requirements increase
Solution Approach 1:
The patent applies parameter changes by fine-tuning machine learning models on specific patient data characteristics. Instead of using a generic model, the system adapts the AI model to recognize individual patient anatomy by adjusting parameters based on patient-specific 3D scans and anatomical features. This enables high-precision recognition while managing complexity through efficient model adaptation rather than building entirely new systems
Data Source
AI summary
A method for superimposing visual data relative to a patient using a mixed reality device is provided. The method includes: accessing a plurality of 3D scans of the patient's face; extracting patient-specific facial features from the plurality of 3D scans; fine-tuning a pre-trained generic 3D facial recognition AI model using the patient-specific facial features to more accurately recognize the patient's face; performing real-time recognition and tracking of the patient's face on the mixed reality device using the fine-tuned model; and superimposing the visual data relative to the patient's tracked face using the mixed reality device. A corresponding system is also provided.