Projects updates

  • DETECTA project presents a new model

    DETECTA project presents a new model

    Detecta has relied on artificial intelligence, the digital twin and black box environments to create a working environment that can predict both physical incidents and cyber-attacks.

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  • Detecta

    Detecta

    Generation of predictive knowledge for the early detection of anomalies in industrial manufacturing processes. The DETECTA project focuses on the generation of predictive knowledge for the early detection of anomalies in industrial manufacturing processes. The main objective is to anticipate incidents caused by component failures or malfunctions in industrial component…

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  • Interviews with the Project consortium members DETECTA

    Interviews with the Project consortium members DETECTA

    In the final stretch of the Detecta project we want to transfer in a direct and close way, in interview format, the contributions made during the project by the members of the consortium.

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  • Blockfactu results presentation day

    Blockfactu results presentation day

    On April 27th, at 16.30h will take place in León the presentation of the results of the project “Blockfactu”

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  • Interview with Blockfactu’s technical team

    Interview with Blockfactu’s technical team

    The technical team from Igarle, Proconsi and Funditec talk about the main advantages of the project and the drawbacks they have faced during its development.

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  • Work continues on the Blockfactu project

    Work continues on the Blockfactu project

    At present, all large and medium-sized companies and a large number of small and micro companies have an invoicing software or ERP that allows them to electronically manage their business and generate the documentation that interrelates the business with other economic agents.

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  • DETECTA introduces Digital Twin visual interface in industrial manufacturing environments

    DETECTA introduces Digital Twin visual interface in industrial manufacturing environments

    One of the actions included in the Detecta project is the investigation of the Digital Twin concept in industrial manufacturing environments, using non-intrusive physical-digital characterization techniques to support a hybrid approach applied to predictive maintenance and cyber-security tasks through the detection of anomalies.

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  • The DETECTA Project continues its progress

    The DETECTA Project continues its progress

    The DETECTA project, funded by the Ministry of Industry, Trade and Tourism, which investigates non-intrusive methodologies supported by 4.0 enabling technologies to address predictive maintenance and cybersecurity in industrial environments, continues to advance.

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  • BLOCKFATU

    BLOCKFATU

    Research on DLT technologies for prototyping a Platform for the interoperability of invoiced documents   Objectives Research on DLT technologies for prototyping a Platform for the interoperability of invoiced documents: Data persistence – Digital Document Custody – Integrity – Interoperability – Non-repudiation   General information Financial Framework: AEI CYBERSEGURITY 2022…

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  • Funditec, in collaboration with Carbon Waters our NewSkin OITB partner

    Funditec, in collaboration with Carbon Waters our NewSkin OITB partner

    Funditec, in collaboration with Carbon Waters our NewSkin OITB partner, develop anti-corrosion graphene additives for polyurethane paints

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  • Blockfactu project consortium meeting

    Blockfactu project consortium meeting

    A new consortium meeting of the BlockFactu project took place today with the members of the consortium, formed by AEI Ciberseguridad, Proconsi, Igarle, Funditec and GAIA.

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  • We continue working on DETECTA

    We continue working on DETECTA

    The AEI Ciberseguridad y Tecnologías Avanzadas, together with the rest of the consortium: FACYL, CIDAUT, FUNDITEC and INDUSTRIAS MAXI, are still involved in the Detecta project. This initiative aims to define techniques that allow the characterization of industrial production processes and the predictive detection of anomalies in them in a…

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