3D Scan Data Locking for Reliable Intraoral Surface Modeling
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Solution Overview
Problem
Existing three-dimensional scanners face inefficiencies in resource usage and reliability issues due to indefinite data accumulation and erroneous data, such as soft tissue, which hinders rapid model completion and reliability.
Innovation Solution
A data locking system and method that perform data locking (update restriction) on a unit cell basis, determining data reliability through characteristic information like data density and reliability color, and restricting further data accumulation when sufficient reliable data is reached, using a controller with a series of processes, and a corresponding point determiner to ensure high reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is accumulated indefinitely during three-dimensional scanning, then more complete data is obtained, but system resources are used inefficiently and processing speed decreases
Solution Approach 1:
The scanning space is divided into multiple unit cells, and data locking is performed independently for each unit cell. This segmentation allows the system to process and evaluate data completeness at a granular level, enabling selective accumulation of data only where necessary while maintaining overall processing efficiency.
Solution Approach 2:
The system changes the parameter of data accumulation by introducing a data locking mechanism that dynamically controls whether data should be accumulated in each unit cell based on completeness evaluation. This parameter change transforms indefinite accumulation into conditional accumulation, improving both reliability and productivity.
2Loss of information
If all obtained data is used for model generation, then more information is available, but erroneous data such as soft tissue reduces model reliability
Solution Approach 1:
The system applies different quality standards to different regions by evaluating data completeness and reliability separately for each unit cell. Erroneous data such as soft tissue can be identified and excluded in specific local regions while preserving valid data in other regions, achieving local quality control that improves overall model accuracy.
Solution Approach 2:
The system implements a feedback mechanism where data completeness is evaluated and used to determine whether to lock data accumulation in each unit cell. This feedback loop ensures that only reliable data is accumulated while erroneous data is excluded, maintaining high model accuracy while preserving necessary information.
3Area of stationary object
If data accumulation is performed without restrictions, then complete coverage is achieved, but unnecessary resource consumption increases
Solution Approach 1:
The system performs preliminary evaluation of data completeness in each unit cell before continuing accumulation. By anticipating when sufficient data has been obtained and locking accumulation in advance, the system avoids unnecessary resource consumption while ensuring complete coverage of required areas.
Solution Approach 2:
By segmenting the scanning area into unit cells with independent data locking, the system can restrict resource consumption to only those areas where additional data accumulation is beneficial, while maintaining complete coverage of all necessary regions through selective accumulation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach prevents unnecessary resource use and ensures a highly reliable intraoral model by selectively updating data, filtering noise, and minimizing user inconvenience, allowing precise scanning.
Implementation Method 1
a three-dimensional scanner that generates a three-dimensional virtual model of a plaster model obtained by taking an alginate impression of a patient's teeth
Implementation Method 2
a three-dimensional scanner may obtain a two-dimensional image of an object through a light projector for emitting specific light to an object to be scanned and a camera unit for receiving light emitted from the light projector and reflected from the surface of the object
Data Source
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AI summary
According to a data locking system and a data locking method according to the present disclosure, data obtained from a scanner is converted into a real-time three-dimensional surface having unit cells. The unit cells constituting the real-time three-dimensional surface include at least one piece of characteristic information having a variety of information, such as color, curvature, reliability color, or data density. When new data is input from the scanner, after performing a real-time three-dimensional surface conversion and aligning process, the characteristic information assigned to the unit cells may be updated or update-restricted according to the characteristic information about a corresponding point. On the other hand, when a specific critical condition (a specific condition of the characteristic information) is assigned, there is an advantage of preventing unnecessary resources from being used in the process of forming an intraoral model by not updating the characteristic information even when new data is input for a corresponding unit cell.