Verify code quality on technical textiles and nonwovens
As electronic components are often indistinguishable from one another on the outside, correct coding is very important for product identification. Code verification systems can be used to verify in the production line whether electronic components are marked correctly and clearly.
Keeping an eye on quality
RELIABLE CODE VERIFICATION FOR TECHNICAL TEXTILES, CARPETS AND NONWOVENS
For the textile and fabric processing industry, marking their fabrics is an important part of quality assurance. Codes with product data, serial numbers and batch numbers are required in order to be able to trace the textiles through the entire supply chain. This is particularly important for technical textiles, which are often used for safety-relevant components in the automotive or aerospace industries. As the codes are usually recorded automatically, they have to be easily machine-readable and have a high first-pass reading rate. This can be tested in the production line using code verification with especially designed inspection systems and verifiers. Weaving mills and textile producers can thus be sure that all fabrics leaving their plants are clearly marked and meet the regulatory requirements of the respective industry.
What is important for testing systems?
- Inspection of legally compliant marking
- Traceability and quality assurance
- Fast, reliable reading of codes
- Reliable automatic error detection
- Flexible, powerful and expandable software
- Easy integration into production lines / quality assurance
- Can be used for different products
With our versatile testing solutions, we support the textile, carpet and nonwovens industries in ensuring the unique identifiability of their products.
Application examples for our inspection solutions
- Code verification of 1D and 2D Codes on textile fabrics
- Checking plain text for contrast and readability
- In-line layout inspection
- Inspection of the correct structure
- Code quality verification according to international standards
- Inspection of the code for content accuracy
- Automated random sample inspection
