SciTransfer
PERCEIVE · Project

AI-Powered Color Reconstruction and Immersive VR Tools for Cultural Heritage Collections

digitalTestedTRL 5

Imagine trying to remember the exact color of a painting that has faded over centuries. This project uses AI to act like a digital time machine, calculating what those original colors looked like. It then puts those colors into VR headsets so people can experience the art as it was originally created.

By the numbers
10
years until textiles start fading
12
partners in consortium
8
countries involved
The business problem

What needed solving

Museums lack sustainable digital policies for remote access and struggle to preserve highly fragile colored collections that fade rapidly. There is a gap in reliable methods to reconstruct and exhibit original colors accurately in digital formats.

The solution

What was built

A service-based AI platform including a Runtime Environment, API, and Design ToolBox. It also includes VR/AR/MR experience prototypes and material appearance models.

Audience

Who needs this

Museum curatorsDigital heritage conservatorsVR/AR experience designersCultural tourism app developersHistorical archive managers
Business applications

Who can put this to work

Museum Technology
mid-size
Target: Digital Exhibition Provider

If you are a digital exhibition provider dealing with fragile artifacts that fade in 10 years — this project developed a service-based AI architecture that reconstructs original colors to create authentic virtual experiences.

Creative Arts
SME
Target: VR/AR Content Studio

If you are a VR/AR content studio dealing with the lack of accurate historical color data — this project developed a Design ToolBox and material appearance models that allow for the creation of high-fidelity digital twins.

Education
any
Target: EdTech Developer

If you are an EdTech developer dealing with low student engagement in history — this project developed experience prototypes based on embodiment and emotion to increase user interaction with colored collections.

Frequently asked

Quick answers

What is the cost or pricing for using these tools?

Based on available project data, specific pricing or cost structures are not mentioned; however, the project aims to provide a service-based AI architecture and toolkit.

Can this be scaled for industrial use?

The project is designed for the creative industries and cultural institutions, utilizing a service-based AI architecture and API design to facilitate integration.

What is the IP or licensing model for the ToolBox?

Based on available project data, the specific licensing terms are not provided, but the project delivers a Design ToolBox and a Runtime Environment.

How does this integrate with existing museum hardware?

Integration is handled via a dedicated API design and a Runtime Environment (FORTH) developed as part of the PERCEIVE Platform.

What is the timeline for the final deliverables?

The project period runs from 2023-02-01 to 2026-01-31, with key prototypes and services updated at M36.

Consortium

Who built it

The consortium consists of 12 partners across 8 countries, showing a strong international reach. With a 25% industry ratio (3 industrial partners), the project balances academic research with commercial application, though the absence of SMEs suggests a focus on larger research entities and established industry players.

How to reach the team

Contact the Consiglio Nazionale delle Ricerche (CNR) in Italy.

Next steps

Talk to the team behind this work.

Contact us to explore licensing the PERCEIVE Design ToolBox for your digital heritage projects.