The project titled Deep lEarning for automatiC tExtile iNspecTion (DECENT) has started, with the collaboration of Investigación Asesoramiento y Desarrollo Textil (Inade), University of Burgos and the Digital Innovation Hub on Livestock, Environment, Agriculture & Forest (DIH-LEAF). The project will have a duration of 6 months and it has been financed with nearly 100.000 € from the second DIH-WORLD call and through the prestigious Horizon 2020 research programme.
Inade is the technology service provider of Textil Santanderina (TS), parent company of Grupo Santanderina, a unique company in Europe that has the entire fabric production chain (spinning, weaving and finishing works) in the same facilities. It is a proud provider to many different clients, including Inditex, , C&A, Pepe Jeans, Bridgestone, Renfe or the fire brigades in Barcelona and Munich.
The DECENT Project will be carried out in the manufacturing facilities that Textil Santanderina owns in Cabezón de la Sal (Cantabria) with around 44.000 m2 and 3 production units.
DIH-LEAF, member of DIGIS3, is a Digital Innovation Hub, set up in 2020 with the aim of supporting different entities in their digital transformation. Currently, it has more than 50 associated entities, including universities, technology centres and corporate entities.
From the University of Burgos, as the centre of knowledge and Excellence of DIH-LEAF, the Grupo de Inteligencia Computacional Aplicada (GICAP; Applied Computational Intelligence Group) will be a main actor in the project, involving a large number of researchers in the field of Artificial Intelligence for real problem solving.
The DECENT Project will increase the competitive advantage Edge of TS in a sustained way, generating the following benefits:
- Quality increase: it will permit a continuous inspection of the process, as well as a real-time defect identification and quality control. This means that TS products will comply with the highest standards of quality and will guarantee a faster and more flexible response to the clients demands.
- Upgrade in productivity: the new solutions will have a positive impact in the first steps of the value chain; (i) optimization of production time, reducing the time associated to production interruptions; (ii) guaranteeing compliance with delivery times; (iii) eliminating bottlenecks during production and minimizing the need in reprocessing of fabrics with defects and inconsistencies.
- Increase in process and product traceability: the traceability of the product (time and location) and defects detection will be guaranteed. Each single error will be identified and reported with precision.
Vistas de la planta de Textil Santanderina en Cabezón de la Sal.
