Research
“Research is to see what everybody else has seen, and think what nobody has though”. (Albert Szent-Györgyi)
Electronics and Artificial Intelligence. Projects
INUNDATIO – Flood Risk Modeling with AI and BigData.
INUNDATIO ofrece un modelo de sistema de gestión de avenidas súbitas (flash floods) en cabeceras de cuenca basado en su caracterización hidromorfológica, la toma contínua de datos hidrometeorológicos (lluvia + caudal), la comparación con datos históricos, la simulación de escenarios de riesgo y el análisis de la vulnerabilidad para las vidas humanas y los elementos materiales.
Duración: Octubre 2019 - Abril 2022
CAMASMART – Adaptive device to improve the autonomy of people in and out of bed
The CAMASMART project: "Adaptable device for improving the autonomy of people in bed entry and exit" is a cooperative project that aims to develop the methodology that generates the technical specifications of a pre-prototype solution that fits the need detected in the field of dependence, in the access/exit of an ordinary bed, through adaptable devices.
Duration: 6 months
InRoad 4.0 – Intelligent Roads for Vision Zero
The project will facilitate the adoption of technological solutions to provide useful information to road users (for safer driving), road concession companies (for better road maintenance and greater resource efficiency), public agencies (for proper decision making in road planning) and emergency bodies (to intervene quickly and safely).
Duration: 2018 - 2022
AIMARS – AI Event Security System
AIMARS aims to demonstrate Europe's First Integrated Security and Surveillance Technology Solution for large gatherings: to provide useful and real-time information to Public and Private Security Forces and Corps, to prevent attacks, crowds, riots and other incidents.
Duration: 2018 - 2022
Fandango – Digital Twin in Automotive Manufacturing
Fandango is aimed at improving operational efficiency in the automotive components sector by acting on the visibility of information in the supply chain, maximizing product quality and optimizing maintenance processes. It will employ the use of digital twins to detect the occurrence of problems earlier and predict outcomes more accurately than pure simulation models.
Project duration: 2018 - 2022
Productio – Boosting Industrial Efficiency with Industry 4.0
Research on various technologies, techniques, tools, methodologies and knowledge aimed at increasing the operational capacity of industrial processes (Overall Equipment Efficiency - OEE) within the framework of the connected industry. The project has enabled the adoption of productive and maintenance solutions in the connected industry by implementing digital security.
Duration: 2016-2020
Ciberfactory – Enhancing Industry 4.0 with Cyber-Physical Systems
The Technological Enablers project deals with the industrial research of enabling technologies to increase the technological capacity of the ITCL, and its competitiveness in the technological sector that will facilitate us to bring the experiences closer to the regional industrial interests.
Duration: 2019 - 2020
SV3D – Enhance 3D Security with Video Surveillance Systems
Development of an online 3D content generation system based on videogrammetry and focused on the security sector, which automatically models objects and environments in three dimensions with the only resource of a video recording, and allows modeling both static and dynamic objects and spaces through recordings.
Duration: 2018 - 2021
HEALTHSENS – IoT platform for Neurodegenerative Disease Treatment
Development of IoT platform for targeted removal of molecules from biological fluids and tested in a cellular model of Alzheimer's disease.
Duration: 2018 - 2020
PigAdvisor – Smart Farming Solutions for Pig Farms
Modern animal production involves the generation of a massive amount of data or Big Data that requires more complex and comprehensive management systems to optimize the use of the data. This high volume of data requires new large-scale storage techniques and different approaches to retrieve the information.
Duration: 2018 - 2020
