Portfolio

Development of a control system through a microwave sensor for the optimisation of humidity in the production of compound feed. The DICAMI project aims to generate a control system capable of memorizing the different electrical responses of a humidity sensor depending on the materials that make up the compound feed, interpolating the response of the system according to the stored calibrations. DICAMI provides a common response to all systems, regardless of the type of mixer or manufacturing system, obtaining a response based on the main components of the food. Another objective of the project is the [...]

Restoration of marine ecosystems of port infrastructures PORTS4ALL is an industrial research project that aims to offer a comprehensive multi-technological solution to transform grey infrastructures (ports, offshore wind farms...) into blue infrastructures (marine oasis). This transformation will be achieved through the restoration of degraded and polluted spaces, the recovery of lost biodiversity and the proposition of adaptation and mitigation strategies to tackle the effects of climate change. To achieve this main goal, the technological members of the consortium combine research in four different areas: Research and evaluation of new techniques and technologies for the generation and [...]

Practical training to facilitate the implementation of the One Health approach through the very early detection of pathogenic organisms and emerging contaminants in wastewater. OneHealthWatch will develop a hands-on training program to facilitate the implementation of the One Health approach through harmonised and standardised monitoring of emerging pathogens and contaminants in wastewater from different regions. In this way, the European Union will be helped to achieve its sustainability goals towards a pollution-free environment. The project focuses on the first phase of contaminants detection (viruses, pharmaceuticals, illegal drugs, antibiotics and pesticides), which will allow a rapid implementation [...]

Initiative promoted by the European Commission to respond to the COVID-19 pandemic and, therefore, to the economic recession. The ReStartSMEs project aims to build the resilience of manufacturing SMEs in automotive, machinery and equipment, food and textiles by analysing their digitalisation needs and offering concrete tools to adopt modern technologies such as artificial intelligence (AI), robotics, cybersecurity and the Internet of Things (IoT). The goal of the project is to match technology providers, traditional manufacturers and supporting organizations to build meaningful connections and a joint transition to Industry 5.0. Within the framework of the project, which [...]

Technical feasibility study of the use of different technologies to improve the connection and dialogue with the retail and foodservice consumer. The QR Connecting consumer project has evaluated the possibility of using QR codes in the food sector to provide the final consumer with additional information and additional content about the products they consume. The study is based on four axes: immersive experience (360º videos, augmented reality and 3D sound), nutritional, environmental and relational. The QR Connecting consumer project has studied the feasibility of technologies such as augmented reality and 3D sound to highlight both the [...]

Self-assessment, protection and healing tools to improve the resilience of Cooperative Automated Mobility (CCAM) systems against potential cyber threats. The SELFY project, coordinated by Eurecat, is developing a toolbox made of collaborative tools with the aim of increasing the security, protection and resilience of the CCAM ecosystem against cyber-attacks or malicious actions. The main pillars and objectives of the project are: Situational awareness: addressing which type of data must be generated and collected, and how it is used for monitoring any given CCAM ecosystem. Data sharing: addressing advanced processing for detection of malicious events and decision-making. Resilience: [...]

Development of technologies to achieve sustainable and efficient processes for the recycling of lithium-ion batteries. The FREE4LIB project aims to develop 6 sustainable and efficient processes for the recycling of lithium-ion batteries at the end of their useful life, thanks to the creation of technologies with a technology readiness level (TRL) between 5 and 6. These 6 processes are dismantling, pre-treatment and 4 other material recovery processes. All of them deliver highly innovative recycling solutions, reaching high efficiency in the recovery of materials and improving the supply of secondary resources at European Union level. FREE4LIB will [...]

Artificial intelligence-driven robotic object handling system with persistent learning capabilities. The aim of the IntelliMan project is to develop a robotic system for manipulating different elements with high performance and constant learning capabilities through a heterogeneous set of sensors, for advanced robotics, manufacturing and prosthetic services. This system will be able to adapt to the characteristics of its environment and to decide how to execute a task autonomously, detecting flaws in its execution and requesting new knowledge through interaction. Ensuring security and performance, IntelliMan's advances range from learning manipulation skills to abstract descriptions of a handling [...]

Development of a socially intelligent assistance robot to help the elderly relieve loneliness at home. The Never Home Alone (NHoA) project aims to help seniors by relieving loneliness at home, maintaining healthy habits and encouraging them to interact with the community. The system will also protect, assist and monitor the evolution of each person in a personalised way. The overall goal of NHoA is to co-design a socially intelligent care robot as a key to patient robustness, adaptability, acceptance and commitment. The NHoA robot will be an embodied support actor who feels the social and emotional [...]

The EFENERVI project aims to evaluate the hybridisation of technologies based on renewable energies and high-performance equipment to meet the energy demand of the production process in the production of wine and cava, as well as the optimal operating strategies of its process and consumption, in order to maximise energy efficiency as well as strategies for optimising demand, based on a series of technical, economic and environmental indicators. Promoting the innovation and sustainability of the wine-making sector, the project works to experimentally demonstrate the economic and energy viability of the solutions studied in the pilot facilities. [...]

Creation of new sensors and tools for advanced and sustainable sewage management. The 4SM project aims to address the main challenges presented by sewage management through the digitisation of its networks. The project will explore sewage energy recovery and develop highly innovative methods for corrosion, toxicity and odor control, enhancing the capabilities of available monitoring tools. The results of the 4SM project will maximise the functionality of water management services in cities, contributing to the reduction of environmental impact, the alarm against the risk of floods, the resilience of infrastructures against climate change, the efficient use [...]

Research and development on the new technological challenges required by an electromechanical device. The OSC ROBOT project researches and develops solutions to the latest challenges presented by collaborative robots, depending on the changing needs of the manufacturer in different environments (food, health, metallurgy, etc.). The project is divided into 3 main objectives: Creation of a super low cost robot for developers, training centers and producers (makers) that simulates as much as possible each part of an industrial robot, but simplified to the minimum expression to get users of this device. Creation of a web platform that [...]

New methodology to reduce the spread of misinformation about vulnerable and stigmatised groups The REMISS project develops a new methodology that allows a trust and credibility score to be awarded both to social network accounts and to messages that may be false. For this reason, it combines various techniques that, until now, have been developed in independent silos and have given powerful results in terms of detection, although they are not very interpretable. The project proposes a methodology based on propagation models, multimodal analysis and text characterization derived from metrics obtained in the laboratory. This analysis [...]

Use of Big Data to optimize the volume of wine production. The PREDIVÍ project aims to improve decision-making related to wine harvests through Big Data. The growing variability of the volume and quality of wine production means that the investment of resources and the dedication of technical teams to obtain harvest predictions is also increasing. Currently, the technical teams use multiple systems (sampling, maturation controls, gauging, etc.) to ascertain in advance the aforementioned variables of volume and optimal harvest time, but the reliability of the results that these systems provide has a lot of potential for [...]

Improving the abilities of gamers through a feasibility study of the development and application of performance measurement tools and physical and psychological processes. The eSports-LAB project is born with the aim of carrying out a feasibility study on the development and application of performance measurement tools and physical and psychological processes of gamers (eSports or online sports players). The purpose is to provide a tangible improvement of their abilities during practice in different disciplines of sports, whether they are professional or amateur players. eSports-LAB aims to be the beginning of a continuous test bench that serves [...]