Composite 3D Shape Mapping for Precise Container Package Handling
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Solution Overview
Problem
Existing logistics systems face challenges in efficiently managing and processing packages within containers due to limitations in acquiring accurate three-dimensional shape information and positional data of packages, which hinders precise loading and unloading operations.
Innovation Solution
The logistics management system employs a combination of three-dimensional cameras and a composite map generating section to acquire and combine point group data from multiple angles, generating a composite depth map that provides comprehensive three-dimensional shape information of packages within containers. This information is used to control loading/unloading systems, ensuring precise package handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple three-dimensional cameras are used to acquire point group data from multiple angles, then the accuracy of three-dimensional shape information is improved, but the device complexity increases
Solution Approach 1:
The system divides the measurement task into multiple segments by using multiple three-dimensional cameras positioned at different angles. Each camera captures point group data from its specific viewpoint, and the composite map generating section integrates these segmented data sets into a complete three-dimensional shape information, resolving the contradiction between measurement accuracy and device complexity
Solution Approach 2:
The composite map generating section merges point group data from multiple three-dimensional cameras into a unified composite depth map. This combining process integrates information from multiple angles to achieve comprehensive and accurate three-dimensional shape information while managing the complexity through systematic data fusion
2Loss of information
If a composite depth map is generated by combining point group data from multiple angles, then the completeness of three-dimensional information is improved, but the information processing time increases
Solution Approach 1:
The system performs preliminary actions by capturing point group data from multiple angles simultaneously using multiple three-dimensional cameras. This parallel data acquisition approach prepares comprehensive information in advance, reducing the processing time required while maintaining complete three-dimensional information
Solution Approach 2:
The composite map generating section creates a composite depth map that is a synthesized copy integrating point group data from multiple camera viewpoints. This copying and integration process efficiently combines information from multiple sources to achieve complete three-dimensional representation while managing processing throughput
3Manufacturing precision
If three-dimensional shape information is used to control loading/unloading operations, then the precision of package handling is improved, but the operational complexity increases
Solution Approach 1:
The system replaces manual mechanical loading/unloading operations with automated control based on three-dimensional shape information. The composite depth map enables precise automated positioning and handling of packages, improving precision while the automation manages operational complexity through computer-controlled processes
Data Source
AI summary
A control apparatus includes a first information acquiring section that acquires three-dimensional information of a first region of surfaces of a plurality of objects, the information being obtained by imaging or scanning the plurality of objects from a first location; a second information acquiring section that acquires three-dimensional information of a second region of surfaces of the plurality of objects, the information being obtained by imaging or scanning the plurality of objects from a second location; and a combining section that generates information indicating three-dimensional shapes of at least a portion of the surfaces of the plurality of objects, based on the three-dimensional information of the first region acquired by the first information acquiring section and the three-dimensional information of the second region acquired by the second information acquiring section.