Label Reading System for Forklift Load Verification
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Solution Overview
Problem
Conventional label reading systems for loads transferred by vehicles fail to ensure all labels are accurately read, making it difficult to determine the number and identify missing information on loads, especially when the number of loads transferred is inconsistent.
Innovation Solution
A label reading system comprising multiple imaging devices installed along the path of a transfer vehicle, which captures images of labels as the loads pass through a designated area, and a processing unit that integrates and displays information on label acquisition status for each load, allowing visual identification of missing data through image processing and coordinate conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single tag reader is used to read IC tags on loads transferred by a vehicle, then the system structure is simple, but it cannot ensure that all labels are accurately read and cannot identify which specific loads have missing information
Solution Approach 1:
The patent divides the labeling system into two independent components: IC tags for identification and barcodes/QR codes for information reading. Multiple readers are deployed to read these codes on loads, enabling comprehensive coverage while maintaining manageable system complexity through functional segmentation.
Solution Approach 2:
The patent introduces an image processing device as an intermediary that captures images of loads and uses OCR technology to read barcode/QR code information. This intermediary component bridges the gap between physical load tracking and information acquisition, enabling accurate reading without direct contact and identifying specific loads with missing information.
2Reliability
If multiple imaging devices are deployed to ensure all labels are read, then label reading completeness improves, but the system complexity and cost increase
Solution Approach 1:
The patent makes imaging devices perform multiple functions: capturing images for visual record, enabling OCR reading of barcode/QR codes for information extraction, and providing coordinate information for load identification. This multi-functionality reduces the need for separate dedicated devices for each purpose, thereby improving reliability while controlling system complexity.
3Loss of information
If the system only counts the number of loads with read information, then processing is simple, but it cannot determine whether the number matches the total loads transferred or identify which specific loads are missing information
Solution Approach 1:
The patent implements a feedback mechanism where the image processing device continuously monitors which loads have been read and which have not. The system provides real-time feedback by displaying images of loads with missing information and their positions, enabling operators to identify and address specific gaps in information collection without complex manual tracking.
Solution Approach 2:
The patent creates visual copies (images) of loads and their label information status. Instead of merely counting loads, the system generates image copies that can be visually inspected to identify specific loads with missing information, making the information gap visible and actionable while keeping processing relatively simple through automated image capture and analysis.
Data Source
AI summary
Based on information on a plurality of images taken by a plurality of cameras of a QR-code imaging device, either information that label information has been appropriately acquired or information that the label information has not been appropriately acquired is assigned to each of a plurality of parts boxes placed on a forklift. Then, the information assigned to each parts box is displayed over a corresponding parts box in an image showing the parts boxes. By visually checking the image showing the parts boxes, a worker can easily recognize a parts box of which the label information has not been appropriately acquired.