3D Oral Defect Model Smoothing via AI Feature Point Selection
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Solution Overview
Problem
Conventional methods for creating oral defect models often result in defects due to human error, such as incontinuous finish lines or prepared abutment surfaces, caused by factors like saliva, blood, and air bubbles, leading to suboptimal artificial teeth production.
Innovation Solution
A method and system utilizing three-dimensional scanning, defect cutting line detection, feature point selection, and smoothing processes driven by automation and artificial intelligence to create a repaired oral defect model, reducing human deviation and improving model accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional impression or digital intraoral scanner is used to obtain oral defect model, then the model can be obtained for creating artificial teeth, but defects such as incontinuous finish line or prepared abutment surfaces occur due to saliva, blood, air bubbles, and human error
Solution Approach 1:
The patent replaces manual mechanical inspection and repair methods with an automated computer-based system that uses algorithms to detect defect cutting lines and identify defect feature points on oral defect models, eliminating human error and improving consistency in defect detection
Solution Approach 2:
The patent creates a digital copy or representation of the oral defect model through scanning, allowing virtual analysis and repair planning before physical manufacturing, which enables precise identification of defects without contamination from saliva, blood, or air bubbles during the scanning process
2Ease of manufacture
If technicians manually modify the model using magnifier and self-experience, then defects can be addressed, but human deviation and subjectivity lead to inconsistent repair quality
Solution Approach 1:
The system enables self-service by allowing the oral defect model to be automatically analyzed by the computer-based system that detects defect cutting lines and identifies defect feature points without requiring technician intervention, making the repair process objective and repeatable
Solution Approach 2:
The patent implements feedback by using the detected defect cutting lines and identified defect feature points to guide the repair process, providing continuous information about the model's condition and enabling precise, data-driven repair decisions rather than relying on technician experience
3Manufacturing precision
If automation and artificial intelligence algorithm are used to repair oral defect model, then human deviation is reduced and model accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent segments the complex repair task into distinct automated steps: scanning the oral defect model, detecting defect cutting lines, identifying defect feature points, and generating repair plans. This segmentation makes the complex system more manageable and easier to implement through modular software components
Data Source
AI summary
A method of repairing an oral defect model includes performing a three-dimensional oral defect model obtaining step, a defect cutting line detecting step, a defect point selecting step and a smoothing step. The three-dimensional oral defect model obtaining step is performed to scan an oral cavity to obtain a three-dimensional oral defect model message. The defect cutting line detecting step is performed to detect a defect cutting line of the three-dimension oral defect model message, and drive a displayer to display the defect cutting line. The defect point selecting step is performed to select at least one defect feature point of the defect cutting line via the displayer. The smoothing step is performed to perform a smoothing process at the at least one defect feature point, and convert the three-dimensional oral defect model message into a three-dimensional oral repaired model message to smooth the defect cutting line.