Variable Frame Rate 3D Scanner for Dental Intraoral Data
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Solution Overview
Problem
Current methods for generating 3D data sets of the jaw area for denture production face challenges in ensuring sufficient data acquisition without excessive redundant data, leading to complex electronics and high bandwidth requirements due to inconsistent movement during intraoral scanning.
Innovation Solution
A 3D camera with adjustable data acquisition rate based on relative movement between the sensor and object, using acceleration sensors or inertial platforms to regulate data collection, allowing for optimal data matching with minimal storage and bandwidth needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high, constant image repetition rate is used to ensure sufficient data acquisition during rapid sensor movement, then data sufficiency is improved, but device complexity and bandwidth requirements increase
Solution Approach 1:
The patent applies dynamics by making the image repetition rate variable rather than constant. The system continuously monitors the relative movement between sensor and object, and dynamically adjusts the image repetition rate to match the actual scanning speed. During rapid movement, the rate increases to capture sufficient data points, while during slower movement, the rate decreases to avoid redundant data acquisition, thus resolving the contradiction between data sufficiency and device complexity
Solution Approach 2:
The system changes the parameter of image repetition rate based on movement conditions. By detecting relative movement and adjusting the temporal parameter (frame rate) accordingly, the system optimizes data acquisition to match actual needs, preventing both data insufficiency and excessive redundancy while reducing electronic bandwidth requirements
2Productivity
If the sensor moves quickly to reduce scanning time, then productivity is improved, but data sufficiency deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring the relative movement between sensor and object during scanning. This movement information feeds back to the control system, which then adjusts the image repetition rate in real-time. This closed-loop control ensures that even during rapid scanning movements, the system captures sufficient data points to maintain data sufficiency while preserving high productivity
3Reliability
If the sensor moves slowly to ensure sufficient data coverage, then data sufficiency is improved, but redundant data increases
Solution Approach 1:
The system dynamically adjusts the image repetition rate based on actual movement speed. When the sensor moves slowly, the system reduces the frame rate to match the lower speed, preventing excessive data accumulation in stationary or slow-moving regions. This dynamic adaptation maintains adequate data coverage while eliminating redundant data points that would otherwise be generated by a constant high frame rate
4Reliability
If a constant high image repetition rate is used, then data sufficiency is improved, but loss of energy increases
Solution Approach 1:
The system uses periodic monitoring of relative movement to determine when high-rate data acquisition is necessary. Rather than maintaining a constant high repetition rate, the system periodically assesses movement conditions and adjusts the frame rate accordingly, activating high-rate acquisition only during periods of rapid movement and reducing it during slower periods, thus maintaining data quality while reducing overall energy consumption
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 ensures efficient data acquisition with optimal registration results for denture production, balancing data sufficiency and redundancy, thereby reducing electronic complexity and storage requirements.
Implementation Method 1
either the number of individual data records determined per unit of time is varied depending on the relative movement between the optical sensor and the object, for the purpose of determining the relative movement, the first sensor has a second sensor from the group of acceleration sensor, rotation sensor, intertial platform
Data Source
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Figure 3
AI summary
The invention relates to generating a total data set of at least one segment of an object for determining at least one characteristic by merging individual data sets determined by means of an optical sensor moving relative to the object and of an image processor, wherein individual data sets of sequential images of the object contain redundant data that are matched for merging the individual data sets. In order that the data obtained by scanning the object are of sufficient quantity for performing an optimal analysis, but without being too great an amount of data for processing, the invention proposes that individual data sets determined per unit of time be varied as a function of the relative motion between the optical sensor and the object.