AACMM 2D Camera 3D Edge Coordinate Determination
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Solution Overview
Problem
Existing portable articulated arm coordinate measuring machines (AACMMs) face challenges in accurately determining three-dimensional coordinates of smoothly continuous edge points using non-contact methods, particularly with structured light scanners, due to errors and irregularities in measurement data.
Innovation Solution
A method involving a portable AACMM with a 2D camera assembly and position transducers, capturing multiple images from different poses to determine 3D coordinates of edge points based on position data and image analysis, using structured light patterns for accurate and high-density point cloud measurement without external connections or wiring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If structured light scanners are used for non-contact measurement, then measurement speed is improved, but measurement precision deteriorates due to errors and irregularities in measurement data
Solution Approach 1:
The patent combines multiple measurement data sources (structured light scanner data and 2D camera images) into a unified measurement system. The 2D camera captures images from multiple poses, and the processor integrates this optical data with structured light data to determine accurate 3D coordinates of edge points, thereby compensating for errors in either individual measurement method
Solution Approach 2:
The system uses feedback by comparing measurement data from the structured light scanner with corresponding 2D camera images. The processor analyzes discrepancies between the two data sources and uses this feedback to correct errors and improve the accuracy of the final 3D coordinate determination
2Measurement precision
If multiple images from different poses are captured and processed, then measurement accuracy is improved, but measurement time increases
Solution Approach 1:
The system captures multiple images from different poses, but processes only the necessary portions to determine 3D coordinates of edge points. The processor selectively uses data from poses that provide the most valuable information for accurate edge point determination, avoiding unnecessary processing of redundant data
3Adaptability or versatility
If 2D camera assembly is integrated into the AACMM, then functionality is improved, but device complexity increases
Solution Approach 1:
The 2D camera assembly is designed to perform multiple functions: capturing images for 3D coordinate determination, providing visual feedback for operator guidance, and integrating with the existing AACMM position transducers. This multi-functionality justifies the added complexity by providing enhanced measurement capabilities without requiring completely separate systems
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 enhances measurement accuracy and uniformity, allowing for precise determination of 3D coordinates with reduced errors, and enables quick coupling of accessory devices for non-contact measurements, improving the AACMM's functionality and measurement precision.
Implementation Method 1
By knowing the relationship between the imaging sensor and the laser and the position of the laser image on the sensor, triangulation methods may be used to measure three-dimensional coordinates of points on the surface
Implementation Method 2
The surface of the object being measured causes a diffuse reflection which is captured by the imaging device
Implementation Method 3
each arm segment including at least one position transducer for producing a position signal
Data Source
Figure 1A
Figure 1B
Figure 2A
AI summary
A portable articulated arm coordinate measuring machine (AACMM) having an integrated camera captures 2D images of an object at three or more different poses. A processor determines 3D coordinates of a smoothly continuous edge point of the object based at least in part on the captured 2D images and pose data provided by the AACMM.