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Swiss company Uster’s EVS Fabriq Vision collects quality data

Uster EVS Fabriq Vision collects quality data and displays it in an album. Albums are used to prove the quality of each fabric roll with full traceability. An already popular solution in technical textiles that automatically combines quality assurance and process optimization. Automatic inspection makes it much easier to produce high quality fabrics.

In one study, customers reported that the data from the Uster fabric inspection system helped them evaluate the quality of their final products and report to their customers. Traceability data was seen as a particular strength for customers servicing the automotive industry. Suppliers in this sector and other sensitive applications value Uster EVS Fabriq Vision as a solution that meets the high levels of traceability required throughout the production chain.

Fabric producers need to ensure reliable quality, which consistently demands high defect detection rates. Uster EVS Fabriq Vision uses automatic controls during intermediate and final inspections to ensure this and eliminate the need for manual inspections, the company said in a press release.

Multiple spectroscopes inspect the material. A unique image processing algorithm automatically identifies all defects and records them in the generated dataset for each role. It is also used for traceability. Defect maps are automatically generated to help operators understand fabric role defect assignments. This information is also available on your Fabriq Album software offline PC. This is a valuable tool for optimizing your data for final disconnection or further processing steps.

Fabriq Album has more people-friendly tools to make your life easier. Manual classification allows you to give defects a customer-specific code to clearly identify each defect. Unwanted images and defects that can be ignored can be automatically removed from the dataset, but are kept in a hidden layer to complete the dataset.

Fabriq Album software guarantees optimal inspection efficiency and throughput. The implementation of machine learning capabilities and AI-assisted defect classification extends the use of quality data generated by Fabriq Vision. Uster fabric inspection solutions offer the added benefit of helping customers prepare for the digital future.

The use of artificial intelligence by Uster for automated fabric inspection was the subject of Michelle Salg’s talk at Techtextil Frankfurt. Fabric Inspection’s Uster Product Manager spoke at the Digitization and Artificial Intelligence session on June 22nd.

Fabric manufacturing leaders, including Knitter, can use Fabriq Vision to make their customers more successful. The key is the Fabriq album. The entire finishing process involves different steps and may be performed by different companies. The Fabriq Album dataset generated by automated fabric inspection is effectively a quality status report for process inputs, allowing manufacturers to manage all process steps for optimal output. Therefore, Fabriq Album enhances quality control and optimized final products throughout the production chain.

Quality reports automatically created by Fabriq Album can be provided to customers as an add-on, providing complete transparency to all meters of fabric. Wherever technical textiles and fabric inspections are needed, or where they are needed, Uster Fabriq Vision unlocks the potential for significant business benefits.

Uster EVS Fabriq Vision collects quality data and displays it in an album. Albums are used to prove the quality of each fabric roll with full traceability. An already popular solution for technical textiles, it automatically combines quality assurance and process optimization. Automatic inspection makes it much easier to produce high quality fabrics.



Swiss company Uster’s EVS Fabriq Vision collects quality data

Source link Swiss company Uster’s EVS Fabriq Vision collects quality data

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