Imagine having a digital twin of a historic building that tells you exactly where it's cracking or decaying in real-time. It's like a health-tracking app, but for ancient monuments, using AI to spot damage from climate change or war. Even people without expert training can help spot problems using their phones and augmented reality.
Cultural heritage sites are suffering from chemical and structural decay caused by climate change and conflict, but monitoring them is often expensive, slow, and requires rare expert presence on-site.
An intelligent computational system including ChemiAI for automatic damage detection and a mixed-reality environment for remote collaboration.
If you are a site manager dealing with deteriorating monuments due to extreme weather — this project developed an intelligent computational system that provides remote monitoring and damage detection. This allows you to protect assets without needing constant physical inspections.
If you are a restoration company dealing with complex chemical decay in old buildings — this project developed ChemiAI and deep learning methods that automatically detect damage. This reduces the time spent on manual site surveys and improves accuracy in damage classification.
If you are a tech provider dealing with the need for remote expert collaboration in the field — this project developed virtual collaborative spaces and augmented reality tools. This enables experts to guide on-site non-professionals in documenting asset damage from anywhere.
Based on available project data, specific pricing is not mentioned, but the project aims to develop cost-effective ways for remote and on-site monitoring by reusing existing technologies.
The project focuses on a modular set of non-destructive and portable technologies, suggesting it can be adapted to various monuments, buildings, and artefacts across different scenarios.
Based on available project data, there is no specific information regarding IP ownership or licensing terms.
It provides a single system to document, digitize, and share information, integrating data from previous interventions for comparison over time.
The project period runs from 2024-02-01 to 2027-01-31, indicating that the tools will be developed and refined during this window.
The consortium is heavily research-oriented with 5 universities and 2 research institutes, but it maintains a 25% industry ratio with 3 companies (including 3 SMEs). This balance suggests a strong academic foundation for the AI and chemical analysis, while the presence of SMEs ensures the resulting tools are designed for practical, commercial use across 8 different European countries.
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Contact us to connect with the ChemiNova consortium for early access to AI damage detection tools.
