projects
TEXTaiLES
TEXTile digitisAtIon tooLs and mEthodS for cultural heritage


HORIZON REA: HORIZON-CL2-2023-HERITAGE-ECCCH-01,
project ID 01101158328
TEXTAILES:
Revolutionizing the Digitalization of Textile Heritage
The A3TEX Center is leading the European consortium TEXTaiLES in designing a groundbreaking, end-to-end technological ecosystem for managing the entire lifecycle of textile heritage digitalization. This initiative spans from data collection to digital restoration, integrating cutting-edge technologies.
Artificial Intelligence (AI) for the analysis, restoration, and reconstruction of damaged or incomplete artifacts.
Digital Twins to enable real-time monitoring of textile objects’ condition and facilitate data sharing among cultural heritage professionals and the general public.
Multisensory technologies to reveal both visible and hidden features of textile artifacts.
The development of secure and highly precise acquisition methodologies for complex environments such as museums: robotic tools equipped with advanced navigation algorithms that dynamically adapt to unstructured spaces.
Through TEXTAILES, A3TEX Sapienza Research Center plays a pivotal role in shaping the European Collaborative Cloud for Cultural Heritage (ECCCH), fostering scientific collaboration and data-sharing among cultural institutions across Europe.
Project duration
1 September 2024 – 30 August 2027
Multidisciplinary consortium
10 partners, 8 countries
Focus areas
Computer science, archeology, museums
Total budget
EUR 3,626,617.01
General Goals
- Develop universal portable and affordable textile data acquisition, digitisation, restoration and curation techniques that are based on cutting-edge technologies (robotics, optical/multispectral imagery, laser scanning, AI restoration, AI-powered analyses), integrated onto the ECCCH and that can be applied to any textile based Cultural Heritage collection.
- Facilitate large-scale, low-cost digitisation of textile based artefacts collections and deliver accurate 3D digital replicas of real-world textile artefacts, accompanied by heterogeneous and multi-level information.
- Promote our textile tradition and history within and outside Europe (e.g. museum loaning of digitised very sensitive textile objects) and to highlight its cultural importance and increase its appreciation by the general public.
- Enhance the understanding of our textile tradition by providing researchers and institutions with digital tools that will help them better collaboratively understand and safely study textiles.
TEXTaiLES Manifest:
Building the foundations for textile digitisation standards for the European Collaborative Cloud for Cultural Heritage (ECCCH)
Our goal: TEXTaiLES builds the methodological foundations for digitising CH textile objects and producing a standardised protocol in terms of technological means and methodological workflows that are offered to the scientific communities as part of the ECCCH.
Learn from the past: to study and map all the current practices in textile digitisation in all of its phases.
Standardise: to develop tools and methods that facilitate the whole lifecycle of the digitisation process of textile objects which should be standardised by carefully examining and documenting all of these phases.
Innovative research: to develop and incorporate innovative AI tools specialised in analysis of textile objects for their deeper understanding and for unlocking their hidden and non visible characteristics such as weaving and microstructure analysis, degradation factors, motion modelling and dynamics, and AI tools for restoring missing/destroyed objects and we incorporate all tools into a 4D multi-scale analysis annotation interface supported by a digital twin and a human-in-loop approach.
Offer to the communities: to propose how these tools are deployed are integrated to archaeological research in a systematic manner through the ECCCH, we build innovative interdisciplinary research communities and we provide upskill activities for the textile CH scientific community.
Some challenges in digitisation:
Archaeological Textiles, imprints and plaster casts
Digitising archaeological textiles, imprints, and plaster casts from Pompeii presents a range of technical and methodological challenges due to the fragile and complex nature of these materials. These artifacts, often preserved in incomplete or deteriorated conditions, require innovative approaches to ensure their accurate documentation and long-term preservation. To overcome these challenges, the TEXTaiLES project is leveraging cutting-edge solutions such as AI-powered analysis, multispectral imaging, and 3D scanning.
These technologies will help uncover hidden details, reconstruct lost elements, and create high-fidelity digital replicas that allow researchers to study, share, and preserve these artifacts in unprecedented ways. By combining these innovative methods, A3TEX Sapienza Center is paving the way for a new era in Archaeological Textile digitisation, ensuring that the rich history embedded in textiles, imprints, and casts is safeguarded for future generations.
Archaeological Textiles
The delicate nature of ancient textiles makes their digitisation particularly demanding. Many have survived only in a fragmentary state, having undergone processes such as carbonisation or mineralisation, which obscure their original structure. Their composition further complicates the process—fine plant and animal fibers, as well as reflective materials like gold threads, challenge traditional imaging techniques. Additionally, textiles were designed for movement, yet capturing their flexibility, texture, and structural integrity in a digital format remains an ongoing challenge. Without careful handling and advanced imaging solutions, crucial details about weaving techniques, dyeing methods, and decorative patterns risk being lost.
Plaster Casts from Pompeii
The iconic plaster casts of Pompeii, which preserve the final moments of its inhabitants, also hold hidden textile imprints that offer invaluable insights into ancient clothing and accessories. However, the smooth, monochrome surfaces of these casts make it difficult to capture fine details digitally. Additionally, environmental factors like humidity can alter their appearance, making long-term preservation and comparative analysis even more challenging. Some casts may also contain embedded accessories—such as leather or metal elements—that are not visible to the naked eye but could be revealed using advanced imaging techniques like multispectral analysis and terahertz scanning.
TEXTaiLES Consortium:
A Collaborative Effort for Textile Heritage Preservation
The TEXTaiLES project brings together 10 partners from 8 countries, each contributing specialized expertise in archaeology, artificial intelligence, robotics, textile modeling, and cultural heritage digitization. Below is an overview of the main partners, with a focus on their unique contributions to the project. Together, the partners of TEXTaiLES bring multidisciplinary expertise to create an innovative digital ecosystem for textile heritage preservation.
Their combined efforts ensure that fragile and historically significant textile artifacts are digitally safeguarded, analyzed, and shared with researchers and the public across Europe.
Partners
- Athena Research Center (ARC) – Greece (Project Coordinator)
ARC is a leader in cultural heritage (CH) digitization and cloud-based research environments. It has contributed to major European projects such as Europeana Cloud, DARIAH, and ARIADNE. In TEXTaiLES, ARC plays a key role in the development and integration of AI-powered tools for processing digitized content. - Sapienza University of Rome (SUR) – Italy
A3TEX Sapienza Resarch Center contributes with expertise in textile archaeology and historical analysis. Its researchers are digitizing ancient textiles and textile imprints from Pompeii, developing new methodologies for AI-driven textile analysis, and participating in the creation of an Open Access Roman Textile Database. - Centre for Research and Technology Hellas (CERTH) – Greece
CERTH is a leader in artificial intelligence, image analysis, and robotics. In TEXTaiLES, it is responsible for developing a 4D digital twin platform, enabling virtual inspection and remote examination of textile artifacts. The institute is also designing automatic restoration tools to reconstruct damaged textiles and deploying robotic navigation algorithms for data acquisition in museums and complex environments. - University of Warsaw (UWA) – Poland
UWA specializes in archaeological textile research and material analysis of textile-related artifacts, such as seal impressions and textile imprints on clay. The university also contributes to the study of textile production techniques and their cultural significance. - University of Oulu (OUL) – Finland
With a strong background in digital humanities and material sciences, Oulu brings expertise in 3D imaging and micro-CT scanning for the detailed study of textile fibers, burial textiles, and archaeological fabrics. OUL is also involved in developing new digitization protocols for fragile textile artifacts. - TechnAI (TAI) – Spain
A technology SME specializing in AI for cultural heritage, contributing to machine learning applications for textile pattern recognition and virtual restoration. - Nubifucus Ltd. (NUB) – United Kingdom
A company focused on information sciences and cultural heritage digital workflows, supporting AI-based data management strategies. - Fraunhofer Institute (FRA) – Germany
Fraunhofer contributes with its expertise in textile modeling and computational analysis. Its role in TEXTaiLES focuses on advanced simulations of textile structures, AI-driven textile reconstruction, and the application of multispectral imaging to study the degradation of ancient fabrics. - Acceligence Ltd. (ACC) – Cyprus
An SME contributing to robotic data acquisition and autonomous scanning technologies. - Textile Museum St. Gallen (TSG) – Switzerland
TSG is one of Europe’s most significant institutions for historical textiles. It plays a key role in preserving and analyzing textile collections, providing historical data, and testing innovative digitization techniques on delicate museum objects.




