Home Research and Innovation Projects STVgoDigital
Date: 2020-2023

Digital transformation in manufacturing and process industry
Sustainability and circular economy


Research and Development under Contract


IT Engineering - Process, Data, Maturity, and Quality
Computer Vision, Interaction and Graphics
Human-Technology Interaction, and Robotics


Artificial intelligence, machine learning, and decision support systems
Ontologies and interoperability
Computer vision and image processing
Human Factors, usability, and UX design



The STVgoDIGITAL is a structuring project of the Textile Cluster: Technology and Fashion. It aims to encompass a set of R&D initiatives that enhance the adoption and transition to the new paradigm of Industry 4.0 and the digital transition, emphasizing technology information and communication.



The project is clearly aligned with one of the textile cluster's strategic pillars: Technology and Fashion—Industry 4.0 and Digitalization. It seeks to advance the knowledge and maturity of digital solutions that address the sector's challenges and opportunities.


Develop digital solutions for a set of STV-relevant challenges and opportunities. A mix of implementing digital technologies, new procedures, business models, new approaches and new materials.​​​​




Each of the PPS (Products, Processes, Services) responds to a specific sector challenge, including sustainability, circularity, fashion ecosystem, worker well-being, supply chain, and introduction of artificial intelligence technologies:  


Creating a digital textile product passport, providing a clothing and home textiles label. This label, which may be imperceptible to the human eye, presents all the information about the product's sustainability and circularity: who, where, how, with what, and under what conditions it was manufactured, allowing its categorization.


Digital integration of information systems belonging to different organizations that present heterogeneous information. An innovative, message-based communication system facilitates the exchange of information between the different elements of the textile supply chain, streamlining communication between the different companies involved in the production of a textile article and integrating the different supply chain processes. Interior development of the future.


Approach the concept of fast fashion, its massive production, and its environmental and social ethics, and seek alternatives to open the fashion market to other actors, creative or small producers, in a local and more sustainable logic.


The exoskeleton, a body assistance device, is being developed to aid the movements of STV workers, particularly seamstresses, and increase their comfort and safety at the workplace. The exoskeleton uses disciplines such as data science, artificial intelligence, and robotization.


Creation of an innovative and disruptive solution, in order to promote and accelerate the full adoption of Artificial Intelligence in companies in the textile and clothing industry. With the optimization and automation of quality analysis on the horizon, an analysis platform adaptable to different contexts was developed, as well as image processing and machine learning algorithms and techniques and edge and cloud computing services.



The CCG/ZGDV contributed to STVgoDigital, through the EPMQ, CVIG, and HTIR departments, to the development of new technologies and their applicability in the different PPSs of this project




EPMQ participates in PPS1, PPS2 and PPS4.

  • In PPS1, it collaborated in the research and development of the platform/service for ID-enlarged clothing textiles and the platform/service for ID-enlarged home textiles, in particular in the implementation of blockchain technology, dedicated to tracking the use of resources and companies involved in their utilization cycles
  • In PPS2, participated in the research and development of the reference architecture for the business messaging protocol by defining ontologies capable of enabling the functionalities of message exchanges to be used
  • In PPS4, was involved in researching and developing the exoskeleton for seamstresses, particularly in implementing algorithms and models to monitor, predict and act on movement patterns using Machine Learning techniques. The software system, called RTSIMU, converts raw positioning data from Inertial Measurement Units into quaternions and translates them into angular movement values

CVIG participated in PPS5 and developed algorithms and methods supported by computer vision and artificial intelligence for inspecting and detecting defects in fabrics, particularly synthetic leather garments, and classifying them

HTIR participated in PPS4 with the development of a biometric model based on the analysis of movements captured by the VICON system and measurement of the muscular load of seamstresses, as well as in the testing and validation of the proposed exoskeleton