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FACIP

Financiado

Forensic Analysis of Concrete Through Image Processing

The proposal is about the Forensic Analysis of Concrete through Image Processing (FACIP), which offers several improvements over traditional methods of forensic analysis (FA) of concrete. Unlike manual inspection, the proposed met... ver más

31/05/2026

Innovasjon Norge

227K€

Presupuesto del proyecto: 227K€

Líder del proyecto

Innovasjon Norge No se ha especificado una descripción o un objeto social para esta compañía.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-04-05

HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023 ExpectedOutcome:Project results are expected to contribute to the following outcomes:

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Innovasjon Norge

226.75K€ | Lider

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Duración del proyecto: 25 meses Fecha Inicio: 2024-04-05
Fecha Fin: 2026-05-31

Líder del proyecto

Innovasjon Norge No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 227K€

Descripción del proyecto The proposal is about the Forensic Analysis of Concrete through Image Processing (FACIP), which offers several improvements over traditional methods of forensic analysis (FA) of concrete. Unlike manual inspection, the proposed method automates and streamlines the process, reducing human effort and evaluation time. FA of concrete is commonly used to determine particle size, shape, aggregate ratio, porosity, and other physical characteristics that affect concrete performance. This project aims to develop an innovative approach that utilizes image processing (IP) and Convolutional Neural Networks (CNN) to enhance FA of concrete structures. By accurately and efficiently detecting, characterizing, and quantifying various concrete defects such as cracks, spalling, corrosion, and delamination, the project aims to extract intricate patterns and features from concrete images through deep learning, improving FA accuracy. This ambitious objective pushes the boundaries of current research in FA of concrete, opening the door to discoveries and advancements. By combining IP and CNN for FACIP, the research aims to develop innovative methodologies and tools that surpass the limitations of existing techniques, such as Core Cutting, Schmidt Hammer, and UPVs, providing accurate and reliable analysis results. This contributes to developing more effective concrete maintenance, repair, and structural integrity assessment strategies. Ultimately, the project aims to provide concrete forensic experts with advanced, reliable, and time-efficient analysis methods, enhancing concrete forensic investigations' overall accuracy and effectiveness.

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