Packaging Web Splice Detection with Polarized Vision
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Solution Overview
Problem
Existing packaging machines face challenges in reliably detecting and preventing anomalies in packaging webs, such as defects in sealing strips or splices, which can lead to packaging defects and compromise food safety.
Innovation Solution
A system utilizing an artificial vision system with a polarized camera and integrated polarizer captures polarized images of the packaging web at different angles, combined with electronic processing resources to analyze and classify anomalies, including splices, wrinkles, and scratches, and provides real-time notifications for corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional packaging machines operate without advanced detection systems, then device complexity is reduced, but reliability of detecting packaging web anomalies deteriorates
Solution Approach 1:
The patent replaces mechanical inspection methods with an optical vision system. A camera captures images of the packaging web, and image processing algorithms automatically detect anomalies such as splices, wrinkles, and tears. This substitution of mechanical detection with optical-electronic detection improves reliability while keeping the system relatively simple.
Solution Approach 2:
The vision system creates optical copies (images) of the packaging web for analysis. By capturing visual information and processing it through algorithms, the system detects anomalies without physically contacting or interfering with the packaging web, thereby improving detection reliability with minimal added complexity.
2Productivity
If packaging machines lack real-time anomaly detection, then device complexity is reduced, but productivity is worsened due to undetected defects causing downtime
Solution Approach 1:
The system performs preliminary detection of anomalies on the packaging web before the defects can cause package formation issues or machine downtime. By detecting splices, wrinkles, and tears early in the process, the system allows for preventive actions that maintain continuous production and improve productivity.
Solution Approach 2:
The vision system provides real-time feedback about the condition of the packaging web. When anomalies are detected, the system can immediately alert operators or automatically adjust process parameters, creating a feedback loop that prevents defects from propagating and maintains high productivity.
3Loss of substance
If no anomaly detection system is implemented, then device complexity is reduced, but loss of substance increases due to packaging defects
Solution Approach 1:
The detection system identifies packaging web anomalies before they result in defective packages. By detecting issues like splices, wrinkles, or tears early, the system enables prevention of defect propagation, ensuring that only sound packaging material is used and reducing waste of packaged products.
Solution Approach 2:
Real-time detection and feedback allow for immediate corrective actions when packaging web defects are detected. This prevents defective material from being processed into final packages, thereby minimizing loss of substance while adding only minimal system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the reliability of detecting packaging web anomalies, ensuring high-quality package formation by identifying and addressing defects before they affect the packaging process, reducing downtime and waste.
Implementation Method 1
A system utilizing an artificial vision system with a polarized camera and integrated polarizer captures polarized images of the packaging web at different angles
Data Source
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AI summary
Method for detecting splices (400) in a packaging web (101) advancing along an advancement path (FD); the method comprising: capturing (S300), by an artificial vision system (102), images of the packaging web (101) as it advances along the advancement path (FD); processing (S301), by electronic processing resources (104) communicatively connected to the artificial vision system (102), the captured images to determine the occurrence of a splice (400) in the packaging web (101); and outputting (S302) data comprising information indicative of whether the splice (400) in the packaging web (101) advancing along the advancement path (FD) is present.