Uster will introduce its new Fabriq Assistant at ITMA 2023 – a central platform for automated processing, analyzing and visualising quality data from Uster fabric inspection systems.

As a central quality hub for all stakeholders in the mill, the new Fabriq Assistant eliminates manual data processing and speeds up decision processes significantly. Fabric manufacturers can release their product for delivery automatically based on their specific business rules, without any human in the loop, which eliminates bottlenecks and increases productivity.

The application is a web-based tool with individual user accounts and specific dashboards. It provides a summary of quality performance from all of the fabric rolls ever inspected in the mill. Information is presented – and easiky shared with other users – as a variety of statistical analysis tools, with results in different charts, histograms or evolution trends.

This depth of analysis goes way beyond what previously could only be done manually in MS Excel. Automated data collection, visualisation and analysis, as well as data processing and reporting functions, are viewed on the central data platform. It works like an expert assistant, offering the relevant quality data during and after inspection. If the user is searching for information on a specific roll, for example, just a few clicks will bring up the review dashboard. Here, all the details for that single roll are available – including defect images, defect map and list and roll statistics.

Using the Uster central platform enables managers to focus on their main task of making key decisions and removes the unwanted workload of manual data preparation and analysis. It also provides the basis for maximum decision-making accuracy, using advanced technologies such as artificial intelligence (AI).

Cutting-edge hardware generates the data to build a reliable foundation for decisions. Uster fabric inspection systems offer automatic real-time quality inspection and can be seamlessly integrated into production – at line running speeds up to 1,000 metres per minute – providing consistent and efficient defect detection.

The core value module introduced with Uster Fabriq Assistant is AI Classification, which extends the application scope of data generated. Specific codes can be automatically assigned to every image generated. By introducing machine learning capabilities, data classification is fully automated and fabric producers can save more than 80% of their manual review time.

The real difference AI Classification makes will be demonstrated at Uster’s stand B103 in Hall 10 at the exhibition in Milan.

www.uster.com