Textile AI Inspector TAS Unveiled

SUALAB, an AI-based smart factory solution provider, officially launched its textile AI inspection solution, the 'TAS (Textile AI Solution) Dyeing Machine,' on the 14th of last month.

The TAS dyeing machine, which incorporates machine vision technology into the dyeing process of the textile industry where automated inspection processes were previously non-existent, is based on image interpretation technology and artificial intelligence technology.

In the dyeing process, the conventional visual inspection method inevitably resulted in slow overall speeds because judgment criteria varied from inspector to inspector. It was also impossible to detect "continuous defects" occurring during the process in real time. Furthermore, the difficulty in securing inspectors led to excessive labor and outsourced inspection costs.

The TAS printing machine has overcome this limitation. By generating and registering reference images of normal products, it detects differences from the standard images in real time through image analysis technology. Since various types of defects occur during the manufacturing process, it is the role of deep learning technology to classify them by type. It is also capable of flexible responses even when product patterns change frequently. This is because the generation of new references is possible within minutes by incorporating enhanced GPU technology.

The TAS dyeing machine is receiving recognition for its performance by detecting continuous defects at Donghwan Mulsan in Ansan and Jungwoo Vina's Vietnam factory in Ho Chi Minh City. In addition, we are steadily improving our defect detection capabilities by conducting continuous research and development in collaboration with various clients.

There is also keen interest from sewing and brand companies regarding this. This is because minimizing defects at dyeing and finishing companies not only ensures the delivery of high-quality products, but Suah Lab's solutions can also be fully utilized for full inspection before cutting and delivery.

Suara Lab is currently preparing to launch solutions applicable to the dyeing process and various final defect inspection processes. It is expected that if all these solutions are implemented in the field, the textile industry will be one step closer to adopting smart factories.

Suaralab CEO Song Ki-young stated, "Having introduced inspection automation to the dyeing process—which previously relied on traditional inspection methods—for the first time in the world, we will rapidly expand the scope of inspection automation across the entire textile industry and take the lead in the adoption of smart factories."