3D Reconstruction System Using Chromatic Dispersion Confocal Method
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional three-dimensional optical reconstruction methods are slow in detection speed, which limits their application in precision machining processes where high-speed detection is required for quality monitoring.
Innovation Solution
A three-dimensional reconstruction system utilizing a rotatable support with a data acquisition device that collects reflective light data at different viewing angles using a chromatic dispersion confocal method, allowing for high-precision reconstruction without frequent optical path corrections, thereby improving detection speed and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical methods (co-focusing, laser scanning, focusing morphology recovery, white light interference) are used for three-dimensional reconstruction, then measurement precision is improved, but detection speed deteriorates
Solution Approach 1:
The patent replaces mechanical scanning systems with a chromatic dispersion confocal optical system. Instead of mechanically moving mirrors or scanners to achieve multi-point measurement, the system uses wavelength-dependent focal depth properties of chromatic dispersion lenses to simultaneously capture depth information across the field of view. This substitution of mechanical movement with optical physics enables rapid acquisition of three-dimensional data without sacrificing measurement precision.
Solution Approach 2:
The patent employs periodic rotation of the carrier device to present different viewing angles of the object to the fixed data acquisition device. By rotating the carrier in discrete angular steps and capturing images at each position, the system efficiently gathers multi-angle data needed for three-dimensional reconstruction. This periodic sampling approach balances measurement completeness with detection speed, avoiding continuous scanning while still achieving comprehensive object characterization.
2Measurement precision
If complex three-dimensional reconstruction algorithms are used to detect many objects, then detection precision is improved, but calculation amount increases
Solution Approach 1:
The patent implements self-service through automated feature extraction and matching algorithms that operate directly on the captured images without requiring complex manual intervention. The system automatically identifies key geometric features, extracts their coordinates, and performs matching across multiple views using efficient algorithms. This automation reduces computational overhead while maintaining high detection precision, enabling real-time processing of multiple objects in precision machining applications.
3Measurement precision
If optical path corrections are performed frequently to maintain measurement precision, then measurement precision is improved, but detection speed deteriorates
Solution Approach 1:
The patent performs preliminary calibration of the chromatic dispersion confocal system before actual measurement. During calibration, the system characterizes the optical path and establishes reference data for correction algorithms. This preliminary action enables the system to compensate for optical path variations during subsequent measurements without requiring frequent real-time corrections, thereby maintaining measurement precision while preserving detection speed.
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
The system achieves higher measurement precision and faster reconstruction speeds by maintaining a stable optical path and minimizing the need for path corrections, facilitating miniaturization and efficient detection of objects.
Implementation Method 1
chromatic dispersion confocal data acquisition device
Implementation Method 2
chromatic dispersion confocal method
Implementation Method 3
collect reflective light data of an object
Data Source
AI summary
A three-dimensional reconstruction system and a three-dimensional reconstruction method, the system includes: a carrier device which includes a rotatable support and a carrier arranged on the rotatable support, the rotatable support is provided with a rotational axis; a data acquisition device spaced apart from the carrier and configured to collect reflective light data of an object on the carrier when the rotatable support rotates to a corresponding angle and to obtain single-visual-angle data of the object at the corresponding angle; and a data processing device connected with the data acquisition device and configured to perform three-dimensional reconstruction according to the single-visual-angle data and a reconstruction algorithm.