Boundary Deformation Detection for Transported Items
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Solution Overview
Problem
The transportation and delivery of items, such as packages, often involve multiple handling stages and diverse locations, making it difficult to accurately detect damage to the item's boundary and initiate exception handling processes, as existing systems lack effective boundary deformation detection capabilities.
Innovation Solution
A system comprising computing devices that capture images of items at various stages, derive boundary attributes, and compare them to reference attributes captured in an initial state to detect deformations, generating notifications for corrective actions when damage is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple handling stages and diverse locations are involved in transportation, then the item can be delivered to specified destination through various intermediate facilities, but accurate detection of damage to the item becomes difficult
Solution Approach 1:
The system captures a reference image of the item at the origin location before transportation begins, establishing a baseline for later comparison. This preliminary action enables accurate damage detection throughout the multi-stage transportation process by having a pre-established reference state to compare against current images at each handling stage.
Solution Approach 2:
The system creates a digital copy (reference image) of the item's initial state and stores it for later comparison. This copying approach allows the system to detect boundary deformations by comparing current images against the stored reference, maintaining measurement precision across multiple transportation stages without requiring physical inspection at each location.
2Measurement precision
If existing systems lack boundary deformation detection capabilities, then transportation processes remain simple, but damage detection accuracy is insufficient
Solution Approach 1:
The system replaces physical inspection methods with image processing and automated comparison algorithms. By using computing devices to capture images, extract boundary attributes, and detect deformations through software-based comparison against reference images, the system achieves accurate boundary deformation detection without complex mechanical inspection equipment.
Solution Approach 2:
The system transforms the physical item into digital image data and extracts boundary attributes as measurable parameters. By converting the detection problem from physical inspection to digital image analysis, the system can accurately detect boundary deformations by comparing parameter changes (boundary attributes) between current and reference images, simplifying the overall detection mechanism.
3Loss of time
If images are captured and compared at each handling stage, then damage can be detected timely, but the number of computing operations increases
Solution Approach 1:
The system extracts only the essential boundary attributes from captured images rather than processing entire images. By identifying and comparing only the relevant boundary characteristics (shape, dimensions, key features) against the reference image, the system achieves timely damage detection while minimizing computing resource consumption through selective attribute extraction rather than full-image analysis.
Data Source
AI summary
A method in a computing device of detecting boundary deformation for an item includes: obtaining a current image of the item; obtaining, from the current image, a current attribute of a boundary of the item; retrieving a reference attribute of the item boundary, the reference attribute corresponding to the item in an initial state; comparing the current attribute to the reference attribute; determining, based on the comparison, whether the item boundary is deformed relative to the initial state of the item; and when the item boundary is deformed, generating an exception notification.