Label Checking Device Automatic Test Data Generation
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Solution Overview
Problem
Conventional image processing systems in the pharmaceutical industry require time-consuming manual adjustments and high costs for real-time operation, making them inefficient for high-speed label checking and processing in packaging lines.
Innovation Solution
The method involves using existing label layout data to automatically generate test data for the detection and processing unit, eliminating the need for manual adjustments by converting print data into usable formats for image processing systems, allowing for quick and cost-effective label checking and adaptation to new packaging formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing systems are used for label detection, then detection accuracy can be achieved, but manual adjustment time and system complexity increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating test data from label layout information before actual label detection begins. The detection unit is pre-configured with expected label structures, field positions, and data formats, eliminating the need for manual teach-in adjustments when detecting actual labels.
Solution Approach 2:
Label layout information serves as an intermediary between the printing system and the detection system. This intermediary data structure contains all necessary information about label fields, positions, and formats, allowing the detection unit to be automatically configured without manual intervention.
2Productivity
If real-time image processing systems are deployed for high-speed processing, then processing speed improves, but system costs increase excessively
Solution Approach 1:
The system prepares test data in advance from label layout information, organizing all detection parameters and expected values before the actual detection process. This preliminary preparation enables the detection unit to operate efficiently at high speeds without requiring complex real-time processing capabilities.
Solution Approach 2:
The detection system serves itself by automatically generating test data from the label layout information without requiring external manual configuration or complex processing systems. The system uses its own internal resources to prepare detection parameters, reducing the need for expensive external processing infrastructure.
3Measurement precision
If manual teach-in processes are performed for each new packaging format, then detection accuracy is ensured, but adaptability to new formats decreases
Solution Approach 1:
The system uses a universal label layout information structure that can represent different packaging formats and label types. This standardized data structure serves multiple functions: it defines label fields, positions, and formats while automatically configuring the detection unit, making the system adaptable to various packaging formats without manual reconfiguration.
Solution Approach 2:
Label layout information acts as a flexible intermediary that adapts to different packaging formats. When a new format is introduced, only the layout information needs to be updated to describe the new format, and the detection system automatically adapts without requiring manual teach-in processes.
Data Source
AI summary
A checking device for a label, with a processor for the detection of the label and a layout unit for the creation of a layout of the label from layout data, wherein the checking device comprises a data converter device configured in such a way that it generates test data from layout data in memory in order to control the processor. A data converter device for use in a checking device, wherein the data converter device is configured in such a way that it generates test data from layout data in memory for checking the label.