Package Positioning via 2D to 3D Coordinate Transformation
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Solution Overview
Problem
Conventional methods for package processing in material handling environments face challenges such as incorrect pallet placement, proximity issues during palletizing, and protruding packages that compromise pallet integrity and risk damage during transport.
Innovation Solution
A system utilizing an image capturing device and a computing device to capture images of packages with decodable indicia, transform 2D image coordinates to 3D spatial coordinates, and compare these coordinates with defined 3D region coordinates to determine if packages are correctly placed and within the pallet boundaries, also identifying any protruding packages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual or automatic palletizing is used to transfer packages, then packages can be moved between locations, but incorrect pallet placement and protruding packages compromise pallet integrity and risk damage during transport
Solution Approach 1:
The system performs preliminary monitoring of package placement during the palletizing process. Image capturing devices continuously capture images of packages as they are placed on pallets, and the processor analyzes these images in real-time to detect potential placement errors before they compromise pallet integrity. This allows for early intervention and correction.
Solution Approach 2:
The system implements a feedback mechanism where the processor compares actual package positions (derived from image coordinates) with expected positions (from decodable indicia). When deviations are detected indicating incorrect placement or protruding packages, the system generates alerts or signals to correct the placement, ensuring pallet integrity is maintained.
2Strength
If conventional package processing methods are used, then packages can be palletized, but proximity issues during palletizing and protruding packages compromise structural integrity
Solution Approach 1:
The system replaces manual inspection and mechanical measurement methods with an optical-mechanical system. Image capturing devices capture visual information of package positions, and a processor automatically analyzes these images to determine precise package locations. This substitution enables continuous, high-precision monitoring without physical contact with the packages.
Solution Approach 2:
The system introduces an intermediary measurement approach by using decodable indicia (such as barcodes or visual markers) on packages as reference points. The image capturing devices capture these indicia, and the processor uses them to accurately determine package positions and orientations, enabling precise monitoring of package placement relative to pallet boundaries.
3Manufacturing precision
If real-time monitoring of package positioning is implemented, then accurate package placement can be ensured, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using a single integrated processing unit that performs multiple tasks: capturing images, decoding indicia, determining package positions, comparing positions with pallet boundaries, and generating alerts. This consolidation reduces overall system complexity compared to having separate dedicated devices for each function.
Solution Approach 2:
The system implements self-service through automated image analysis and decision-making algorithms. The processor automatically captures images, identifies package positions, compares them with expected positions, and determines whether correction is needed without human intervention. This automation reduces the need for complex manual monitoring systems and specialized equipment.
Data Source
AI summary
A method for processing the packages in a material handling environment is disclosed. The method includes receiving an image of a field of view of an image capturing device. The image comprising at least one decodable indicia having a predefined shape, the at least one decodable indicia attached to a package. The method further includes identifying one or more decodable indicia image coordinates, wherein each of the one or more decodable indicia image coordinates define a corner of the at least one decodable indicia using a 2-dimensional (2D) coordinate system. The method further includes transforming the one or more decodable indicia image coordinates to one or more decodable indicia spatial coordinates in the 3D coordinate system. Further, the method includes comparing the one or more decodable indicia spatial coordinates with one or more 3D region coordinates to determine whether the package is within a 3D region.