Board Pack Image Retrieval for Faster Post-Storage Identification
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Solution Overview
Problem
In wood processing plants, the tracking of individual boards after a period of storage becomes inefficient due to the high volume of operations required by computers, leading to excessively long processing times and reduced productivity.
Innovation Solution
A method for retrieving saved information relative to a pack of boards involves a preparation step where digital datasets are created for known packs, and a retrieval step where information is extracted from these datasets using electronic devices and image processing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tracking of individual boards is performed using fingerprint recognition after storage, then board identification accuracy is improved, but computer processing time increases excessively
Solution Approach 1:
The patent divides the large set of all stored boards into smaller subsets organized by pack. Instead of searching through all boards individually, the system first identifies which pack a board belongs to, then only searches within that specific pack's board set. This segmentation dramatically reduces the search space and processing time while maintaining identification accuracy.
Solution Approach 2:
The patent extracts and stores pack-level information (such as pack identifiers, composition data, and metadata) separately from individual board data. This extracted pack information serves as a filtering layer that narrows down the search scope before performing detailed board-level fingerprint matching, thus reducing overall processing time.
2Productivity
If individual board tracking is implemented throughout the plant, then productivity monitoring is improved, but system complexity increases
Solution Approach 1:
The tracking system is segmented into two levels: pack-level tracking and board-level tracking. The pack-level system handles coarse-grained monitoring of board groups, while the board-level fingerprint recognition handles fine-grained identification only when needed. This hierarchical segmentation reduces overall system complexity while maintaining productivity monitoring capabilities.
Solution Approach 2:
The system performs preliminary actions by pre-organizing boards into packs with stored metadata and identifiers before they enter the tracking system. This preliminary organization creates a structured framework that simplifies subsequent tracking operations, reducing the complexity of real-time monitoring without sacrificing productivity insights.
Data Source
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AI summary
A method for retrieving saved information relative to a first pack (1) of boards which belongs to a plurality of known packs of boards (2), the method comprising a preparation step and a retrieval step during which the information relative to the first pack (1) of boards is extracted from the relative digital dataset present in the first digital archive, the preparation step comprising a generation step for generating one or more reference images of the known pack (1) of boards, and a saving step for saving reference features in a digital memory (15) together with the information relative to the known pack (1) of boards, creating a digital dataset relative to the known pack (1) of boards, the set of the digital datasets constituting a first digital archive, and the retrieval step comprising an observation step in which at least one digital photograph (17) of the first pack (1) of boards is acquired, a comparison step for comparing first features linked to the digital photograph (17) with the saved reference features, to identify a match with one of the saved reference images, and an extraction step for extracting from the first digital archive information relative to the known pack (1) of boards for which the comparison step identified the match.