3D Component Protrusion Measurement with Point Cloud ROI Matching
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Solution Overview
Problem
Existing component mounting apparatuses face inefficiencies in accelerating measurement processing of the three-dimensional shape of components mounted on a substrate, hindering the efficient production of electronic devices.
Innovation Solution
A three-dimensional measurement device equipped with a model point cloud data storage unit, computing range determination unit, and three-dimensional shape calculation unit to accelerate the measurement processing by comparing and calculating the shape of protrusions on components using phase shift methods and algorithms like ICP, NDT, and FAST feature point matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional measurement processing is performed on the entire component, then measurement precision is improved, but measurement time increases
Solution Approach 1:
The patent divides the component into multiple regions of interest (ROIs), each corresponding to a specific protrusion. The three-dimensional measurement device processes each ROI separately by comparing detection point cloud data with pre-stored model point cloud data for that specific region. This segmentation allows the system to focus computational resources on critical areas rather than processing the entire component, thereby maintaining measurement precision for protrusions while reducing overall measurement time.
Solution Approach 2:
The patent extracts and processes only the relevant portions of the component data. By storing model point cloud data specifically for protrusion regions and comparing detection data against these models, the system extracts only the necessary measurement information from the point cloud data. This extraction approach eliminates unnecessary processing of non-critical areas, reducing measurement time while preserving precision for the protrusions that require accurate measurement.
2Measurement precision
If three-dimensional measurement processing is performed on the entire component, then measurement completeness is improved, but computation load increases
Solution Approach 1:
The patent segments the component model into multiple regions of interest, each with its own pre-stored model point cloud data. By organizing the measurement process around these segmented regions rather than processing the entire component at once, the computation load is divided into manageable portions. Each ROI can be processed independently and in parallel, reducing the peak computational requirements while ensuring complete measurement coverage of all critical protrusions.
Solution Approach 2:
The patent performs preliminary actions by pre-storing model point cloud data for each region of interest before the actual measurement process. This pre-processing includes creating and organizing the reference models for all protrusion regions in advance. During measurement, the system only needs to perform comparison operations against these pre-prepared models, significantly reducing the real-time computation load while maintaining complete measurement capability for all critical features.
Data Source
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AI summary
The three-dimensional measurement device includes a model point cloud data storage unit in which model point cloud data representing three-dimensional point cloud data of a model of a protrusion protruding from a body portion of a component is stored, a computing range determination unit configured to compare the model point cloud data with detection point cloud data representing three-dimensional point cloud data of the component detected by a three-dimensional sensor to determine a computing range of the detection point cloud data, and a three-dimensional shape calculation unit configured to calculate a three-dimensional shape of the protrusion based on the detection point cloud data in the computing range.