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SARDINNIAENBROS - MICS
Loghi del biscottone

SARDINNIAENBROS

PROJECT

SARDINNIAENBROS

Smart digital Sardinia: artificial intelligence for exporting the new Sardinian brocade
PROJECT LEAD

Mauro Venanzi

CONCEPT

The SARDINNIAENBROS project aims to develop an innovative textile recycling hub in Sardinia, leveraging artificial intelligence (AI) and computer vision technologies.
AI will analyze the physical and chemical properties of fabrics, detecting defects, compositions, and hidden pollutants—thus optimizing the sorting process for recycling.
This hub will transform textile waste into reusable resources, reducing waste and supporting high-quality, sustainable textile production.
The project contributes to the transition toward a circular economy, enhancing local fabrics like Sardinian brocade and promoting sustainability in the sector.

CONTEXT

SARDINNIAENBROS stems from the need to innovate the Sardinian textile industry, which has a rich heritage in producing high-quality fabrics like brocade but faces challenges related to sustainability.
Each year, the sector generates 4,000 tons of textile waste, of which only 1% is recycled, creating a significant environmental impact.
In this context, the project aims to turn these challenges into opportunities, using advanced technologies to improve product quality, recover resources, promote circular practices, and revitalize the Sardinian textile supply chain sustainably.

Beneficiari

OBJECTIVES AND EXPECTED RESULTS

The core goal is to promote a sustainable transformation of the Sardinian textile sector by introducing an AI-based platform for automated material quality control.
This platform will automate fabric analysis and classification, reducing reliance on manual inspection, while also promoting ecological and circular practices throughout the supply chain.

Key technological innovations include automated defect detection and identification of hidden pollutants, improving textile quality, limiting waste, and reducing the use of natural resources.

In a circular economy perspective, the project also includes the creation of a textile recycling hub in Sardinia, which will reduce environmental impact, create new job opportunities, and support the development of local technical skills.
Digitizing Sardinia’s textile tradition—especially brocade—will help preserve its quality and cultural value.

Expected results:

  • An AI platform with a dashboard for advanced textile monitoring
  • Significant reduction of textile waste over 5 years and a saving of 120 tons of CO₂
  • Creation of a multi-hyperspectral dataset to train specialized AI algorithms
  • Development of a recycling hub to promote sustainability and employment in Sardinia

KEY FIGURES

5

RESEARCHERS INVOLVED

4

NEW HIRES EXPECTED

12

PROJECT DURATION

5

NUMBER OF WORK PACKAGES (WPS)

5

STARTING TRL

8

FINAL TRL