17768151. ULTRAVIOLET LIGHT-BASED INSPECTION FOR DETECTING COATING DEFECTS IN MANUFACTURED WEBS USING FLUORESCING AGENTS simplified abstract (3M INNOVATIVE PROPERTIES COMPANY)
Contents
- 1 ULTRAVIOLET LIGHT-BASED INSPECTION FOR DETECTING COATING DEFECTS IN MANUFACTURED WEBS USING FLUORESCING AGENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ULTRAVIOLET LIGHT-BASED INSPECTION FOR DETECTING COATING DEFECTS IN MANUFACTURED WEBS USING FLUORESCING AGENTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ULTRAVIOLET LIGHT-BASED INSPECTION FOR DETECTING COATING DEFECTS IN MANUFACTURED WEBS USING FLUORESCING AGENTS
Organization Name
3M INNOVATIVE PROPERTIES COMPANY
Inventor(s)
Jason P. Smith of St. Paul MN (US)
Steven P. Floeder of Shoreview MN (US)
ULTRAVIOLET LIGHT-BASED INSPECTION FOR DETECTING COATING DEFECTS IN MANUFACTURED WEBS USING FLUORESCING AGENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17768151 titled 'ULTRAVIOLET LIGHT-BASED INSPECTION FOR DETECTING COATING DEFECTS IN MANUFACTURED WEBS USING FLUORESCING AGENTS
Simplified Explanation
The patent application describes a system for automatically detecting defects in webs using ultraviolet light to excite fluorescing agents in various layers of the web.
- The system includes an inspection device with a lighting unit, a filter, and an image capture device.
- The lighting unit emits ultraviolet light to the web, causing the fluorescing agent to emit light of a different wavelength.
- The image capture device captures images of the emitted light after passing through the filter.
- A processing unit analyzes the images to determine if the web has any defects.
Potential Applications
This technology could be applied in industries such as manufacturing, printing, and quality control for detecting defects in webs or materials.
Problems Solved
This technology helps in automating the detection of defects in webs, improving efficiency and accuracy in quality control processes.
Benefits
The system provides a non-invasive and efficient way to detect defects in webs, reducing the need for manual inspection and improving overall product quality.
Potential Commercial Applications
"Automated Defect Detection System Using Ultraviolet Light" could be used in industries such as textile manufacturing, paper production, and packaging for quality control purposes.
Possible Prior Art
One possible prior art could be systems using ultraviolet light for defect detection in materials, but the specific application to webs and the use of fluorescing agents may be novel.
Unanswered Questions
How does the system handle different types of defects in the web?
The system's processing unit may use image analysis algorithms to differentiate between different types of defects based on the characteristics of the emitted light.
What is the cost-effectiveness of implementing this technology in a production environment?
The cost-effectiveness would depend on factors such as the volume of materials being inspected, the frequency of inspections, and the potential savings from improved quality control.
Original Abstract Submitted
Techniques are described for automatically detecting defects in webs using ultraviolet light to excite fluorescing agents in various layers of the web. In one example. a system for detecting defects in the web includes an inspection device and a processing unit. The inspection device includes a lighting unit, a filter, and an image capture device. The lighting unit is configured to emit ultraviolet light having a first wavelength to the web, the web including a fluorescing agent configured to emit light having a second wavelength upon excitation by the ultraviolet light. The image capture device is configured to capture one or more images of the light having the second wavelength after the light has passed through the filter. The processing unit is configured to determine whether the web includes a defect based on the one or more images.
