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The  key questions when specifying an inspection system for a roll to roll application?

 

Overview

For effective defect detection, a web inspection system can be broken down into three key functional elements: the imaging system, the processing system, and the output system .

  • The imaging system typically accounts for 50% to 60% of the cost of an inspection system . This system includes the cameras, optics, and illumination . The type of camera is usually selected according to the application's needs, and it is important to choose a brand that has the necessary capabilities and conforms to industry standards . Camera communication standards include CamLink, USB 3.0, Gigabit Ethernet, and CoaXPress. Lens choice will determine the working distance, and lighting is often the most expensive part of the solution. Multiple lights may be needed depending on the substrate and defects.
  • The processing system includes the PC or embedded hardware and the software used to analyze images . The software is critical . Key factors in choosing a processing system are the PC specifications, the frame grabber type, the I/O module manufacturer, and the operating system . The processing hardware may represent only 15% of the hardware cost, but the software is crucial .
  • The output system provides an interface with operators, the machine, or the downstream process. This system includes the operator display, alarms, the parent machine interface, and the data output . The operator display should be wide screen and high resolution with graphical overlays to highlight defect positions . Alarms should be configurable based on the class and number of defects . For roll-to-roll operations, marking systems and tag inserters are common .

Additionally, specifying the system correctly will result in several benefits, including stopping defects from reaching customers, increasing productivity, reducing substrate waste, and enabling process improvements .

Web Inspection System Study Guide

Quiz

1. What are the three key factors that influence the cost of a web inspection system?
2.Why is the Nyquist principle important when specifying the resolution of a camera for defect detection?
3.Briefly describe the five steps for categorizing defects in a web inspection system.
4.Explain the difference between Class 1, Class 2, and Class 3 defect classifications.
5.What are the three primary functional elements that make up a line scan inspection system?
6.What are three common standards used for camera communications in machine vision systems?
7.Why is the software application considered the "magic sauce" of a processing system in a web inspection solution?
8.What are some considerations when specifying operator displays for a web inspection system?
9.Besides preventing defects from reaching customers, what are three other significant benefits of a well-specified inspection system?
10.Explain the concept of "smart converting" in relation to web inspection systems.
 
Quiz Answer Key
1.The three key factors are line speed, product width, and minimum defect size that must be detected. These factors directly influence the complexity and cost of the system.
2.The Nyquist principle states that resolution must be at least twice that of the smallest defect to ensure proper detection. This is crucial to avoid aliasing and ensure accurate capture of small defects.
3.The five steps are to: identify all defects, identify the source of each defect, prioritize defects using a Pareto chart, identify key measurements, and categorize defects by color and substrate type.
4.Class 1 defects are critical and require immediate action, often stopping the machine. Class 2 defects are monitored and only require action if their density exceeds a threshold. Class 3 defects are small and are tracked for statistical purposes but do not require immediate action.
5.The three functional elements are the imaging system (cameras, optics, illumination), the processing system (PC, software), and the output system (displays, alarms, machine interface).
6.Three common standards are CamLink (high-speed serial bus), USB 3.0 (SuperSpeed USB for connectivity), and Gigabit Ethernet (high-bandwidth, longer cable applications).
7.The software is the critical element that processes images and provides the insights, it is the heart of the system. The software is what sets different inspection companies apart.
8.Operator displays should be wide screen, high resolution, and have graphical overlays to clearly show defect positions and relevant information, avoiding using tiny images for reference.
9.Besides preventing defects, other significant benefits include increased productivity, reduction in substrate waste, and fault identification for process improvements.
10."Smart converting" is the use of data collected by the inspection system to prepare an automated strategy for downstream converting processes, optimizing workflow, reducing waste, and increase productivity.
 

Glossary of Key Terms

Line Speed: The rate at which the web or sheet material moves through the inspection system, measured in units like meters per minute (mpm).
Product Width: The width of the material being inspected, which directly affects the field of view required for the cameras.
Minimum Defect Size: The smallest size of a defect that the inspection system must be capable of detecting, measured in micrometers (um).
Nyquist Principle: A guideline stating that the resolution of an imaging system must be at least twice the size of the smallest detail to be captured.
Pareto Chart: A chart that displays the most frequent defects in order from the most significant to the least significant, used to prioritize the key problems.
Class 1 Defects: Critical defects that require immediate operator action, often involving machine stoppage.
Class 2 Defects: Defects that require operator attention if their density exceeds a threshold within a defined time frame or area.
Class 3 Defects: Small defects that are tracked for statistical analysis but do not require immediate intervention.
Imaging System: The component of an inspection system that captures the images using cameras, lenses, and lighting.
Processing System: The hardware and software that analyses the captured images for defects.
Output System: The elements of the system that communicate information to operators, the machine, or downstream processes (e.g., displays, alarms).
CamLink: A high-speed serial digital bus standard commonly used for machine vision cameras.
USB 3.0: A high-speed standard for computer connectivity, also used with cameras.
Gigabit Ethernet: A network technology that has been adapted to connect cameras and transmit images.
Frame Grabber: A hardware interface used to capture images from cameras, often used with CamLink.
Smart Converting: The use of data collected by the inspection system to prepare an automated strategy for downstream converting processes, optimizing workflow and reducing waste.
Histogram: A statistical way of visualizing the range of grey level values within an image, typically used to establish threshold limits.
Thresholding: The segmentation of an image into regions of interest by setting minimum and maximum intensity values.
Golden Template: The use of an ideal image as a comparison to help to locate defects within an image.
Adaptive Thresholding: The automatic adjustment of threshold values to compensate for light variations.