3D Point-Cloud Processing for Automated Tooth Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for acquiring three-dimensional data of objects inside a mouth, such as teeth, require manual identification by the user, which is inefficient and prone to errors due to the presence of unnecessary objects like fingers or treatment instruments during scanning.
Innovation Solution
A data processing apparatus and method that utilize three-dimensional data input from a scanner, process this data to generate two-dimensional images, and employ machine learning-based models to identify and extract the three-dimensional data of specific objects, such as teeth, while removing unnecessary data from objects like fingers or treatment instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification method is used to extract three-dimensional data of specific objects, then the user can identify objects based on knowledge, but the process is time-consuming and prone to human error
Solution Approach 1:
The system performs automatic identification of objects and extraction of three-dimensional data using AI-based image recognition, eliminating the need for manual user identification. The processing circuitry autonomously generates two-dimensional images, identifies predetermined objects, and extracts their three-dimensional data, making the system self-sufficient and removing human intervention from the identification process.
2Reliability
If manual identification method is used, then the user can check three-dimensional images, but the process requires human involvement which reduces efficiency
Solution Approach 1:
The patent replaces the manual mechanical process of user identification with an automated AI-based image recognition system. The processing circuitry uses machine learning models to automatically identify objects in three-dimensional data, substituting human cognitive processes with computational algorithms that operate faster and with consistent reliability.
3Quantity of substance
If three-dimensional scanning is performed in the presence of unnecessary objects like fingers or instruments, then complete data is captured, but unnecessary data must be manually removed
Solution Approach 1:
The system automatically extracts and separates the three-dimensional data of predetermined objects from the complete scan data that includes unnecessary objects. The processing circuitry identifies and extracts only the relevant object data, automatically removing unnecessary data such as fingers or treatment instruments without requiring manual intervention.
Data Source
AI summary
A data processing apparatus that includes an input interface to which three-dimensional data including position information of each point of a point group indicating a surface of at least one object is input; and processing circuitry that is configured to process the three-dimensional data that is input from the input interface. The processing circuitry is configured to process two-dimensional data from the three-dimensional data, identify a predetermined object among the at least one object based on the two-dimensional data, and extract predetermined three-dimensional data including the position information of each point of a point group indicating a surface of the predetermined object that is identified.