Press Mold AR Alignment Using Hybrid Marker Coordinate Matching
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Solution Overview
Problem
Existing augmented reality (AR) technologies in manufacturing, particularly for press molds, face challenges with marker-based systems due to recognition errors and markerless systems' low accuracy, leading to unstable data augmentation and mismatched virtual data with real products.
Innovation Solution
An AR system that processes 3D data into a lightweight optimized state, corrects the 3D coordinate system by tracking markers, and uses a space recognition-based matching coordinate system to improve accuracy, allowing for precise augmentation of virtual data on real products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If marker-based scanning data augmentation technology is used to identify position and posture of press mold product, then 3D data can be augmented, but data augmentation fails when there is no marker on camera screen or there is recognition error, thus reducing stability
Solution Approach 1:
The patent introduces a coordinate system conversion mechanism as an intermediary between the marker-based coordinate system and the camera image coordinate system. This allows data augmentation to proceed through coordinate transformation even when markers are not visible or recognition errors occur, maintaining system reliability while preserving measurement precision through mathematical coordinate mapping.
Solution Approach 2:
The patent performs preliminary coordinate system calibration and establishes transformation relationships before actual data augmentation occurs. By pre-defining the coordinate system mappings and transformation parameters, the system can handle marker absence or recognition errors without failing, thus improving reliability while maintaining the precision established during the calibration phase.
2Reliability
If markerless augmentation technology is used to solve problems caused by absence of marker, then stability is improved, but the accuracy of position and posture of real product is low and thus matching between test product required in molding sector and data augmentation required in mold section may not be satisfied
Solution Approach 1:
The patent merges the advantages of both marker-based and markerless approaches by combining coordinate system transformation techniques with space recognition algorithms. This hybrid approach maintains the stability of markerless augmentation while recovering the precision of marker-based systems through mathematical coordinate mapping and transformation, satisfying both reliability and accuracy requirements.
3Productivity
If 3D data is processed into lightweight optimized state by reducing number of meshes, then data processing efficiency and responsiveness are enhanced, but data detail information may be lost
Solution Approach 1:
The patent applies parameter changes by adjusting the mesh density and complexity levels based on processing requirements. By dynamically modifying mesh parameters such as polygon count and detail level, the system achieves lightweight optimization for improved processing efficiency while preserving critical geometric information through adaptive parameter adjustment rather than uniform data reduction.
Data Source
AI summary
An augmented reality (AR) system includes a data generator configured to generate three-dimensional (3D) data corresponding to a press mold product, and an AR terminal configured to convert the 3D data into AR data. The AR terminal includes a data inputter configured to receive the 3D data and display information corresponding to location information of each node of the 3D data. The AR terminal also includes a data processor configured to convert the 3D data into a form of polygon mesh according to a type of form information of the 3D data and generate AR data in a form of 3D virtual model through matching with the display information. The AR terminal additionally includes a data augmentation part configured to augment and match the AR data on a real product displayed on a camera image, and augment and display the display information for each node, through a user interface (UI).