Portfolio

Experimental development of tangible interfaces through furniture to improve the user experience during control and interaction in smart kitchens. The TANGIBLE project integrates tangible interface technologies (TUI, Tangible User Interfaces) on the surfaces and materials of the kitchen equipment. TANGIBLE offers new value utilities to professional and domestic kitchen users by developing an immersive online social interaction space based on an extended reality from a machine learning agent. The project also facilitates the control of the options of the digital environment, stimulating more inclusive co-creation activities in work processes. The use of new technologies such as [...]

Serverless efficient computing in extremely diverse computing environments, from edge devices with limited resources to highly virtualised cloud platforms. EDGELESS makes use of the "serverless" concept in all layers of the edge-cloud continuum to fully benefit from the diverse and decentralised computational resources available on-demand close to where data is produced or consumed. In particular, the project achieves a efficient and  transparent horizontal pooling of resources in edge nodes with constrained capabilities or specialised hardware, smoothly integrated with cloud resources. This represents a giant leap forward compared to to state-of-the-art vertical offloading solutions where the edge [...]

Development of transparent agrovoltaic systems using customised organic photovoltaics (OPV) with complementary light absorption for plant growth. The SYNATRA project revolutionises the field of agrovoltaics by integrating transparent organic photovoltaic modules with tailored light absorption into agricultural structures to stimulate a synergistic co-production of energy and plants. The customisation of semi-transparent OPV modules for specific agrovoltaic applications aims to achieve the optimal conditions for plant growth: controlled light intensity, light diffusion, spectral composition of light, homogeneous planting coverage and mechanical protection against aggressive elements such as hailstorms, wind or rain. The SYNATRA project contributes to increase [...]

Artificial Intelligence (AI) integrated into objects in the habitat sector. The SERPE4HAB project studies the combination of printed, hybrid and flexible electronics with the application of gesture recognition technology, through artificial intelligence, in products from the habitat sector, with the aim of adapting and adapting them to the new needs detected in the market. In this way, it is also possible for these products to become intelligent objects capable of integrating into the Internet of Things (IoT), as well as 4.0 connectivity, responding to the concerns expressed by of the population on their interaction with elements [...]

Investigation of unknown disinfection by-products and exhaustive characterisation of the formation of those already known. With the results, commercial methods will be developed to quantify and reduce these by-products to avoid negative effects on human health. During the project, three case studies are carried out to promote the characterisation of water quality, develop new treatment methods and improve the management of water distribution networks to maintain a high quality of drinking water. This includes all processes, from the water source, through treatment and distribution. Climate change poses major challenges for Europe's drinking water supply. With the [...]

Artificial intelligence model to categorise banking movements of SMEs and freelancers, detecting possible anomalies. The KINTAI project builds the bases for an artificial intelligence and machine learning tool for calculating the level of risk and its monitoring, a basic requirement for granting a loan to a company. KINTAI designs and implements models based on supervised learning that take into account the millions of bank transactions made by companies, and then efficiently group them into different categories identifying anomalies in cash flows and the customer portfolio. This tool allows for the import, transformation and storage of any volume of [...]

Development of new cocrystals of polyphenols with high bioavailability and evaluation of the protective effects of their combination against oxidative stress in exposure to radiation and physical exercise. Oxidative stress is caused by an imbalance between the generation of reactive oxygen species (ROS) and the antioxidant defence, and can cause significant harmful effects on cells, tissues, and organs. Studying and treating oxidative stress is necessary, since excessive ROS production is triggered in some of the daily or periodic activities, such as radiation exposure for medical reasons or endurance exercise. In this sense, some polyphenols have shown protective [...]

Development of a multiplexed, point-of-care, electrochemical biosensor for the quantitative detection of up to five diagnostic (HRP2 and LDH) and prognostic (ANG1, ANG2 and sTREM) malaria biomarkers. G_SensMalaria project aims to develop electrochemical aptamer-based (EAB) sensors using graphene-based printed inks. The use of EAB sensors allows to quantify biomarkers in less than five minutes, directly in undiluted blood. This is a unique technology that combines the properties of point-of-care sensors (speed and ease of use) with those of laboratory-based ones (quantification). Eurecat’s Functional Printing and Embedded Devices Unit is the responsible for the development of the [...]

Advances in the exploitation models of free ad-supported television (FAST) channels. The PFAST project promotes a technology for the automatic creation of personalised linear television channels by the user, so that, despite starting from the same content repositories, the grids are specially tuned to their preferences. Thus, the project contributes through artificial intelligence techniques to the personalisation and specialisation that FAST channels represent for the television world. Specifically, PFAST advances in the state of the art through natural language processing (NLP) analysis of television content metadata, creating an affinity/diversity model through the emotional analysis of users. The PFAST [...]

Development of an innovative platform for planning and optimised allocation of autonomous robotic vehicles for the agricultural sector. The SOMAGRO project contributes to the automation and electrification of agricultural machinery by boosting a platform based on artificial intelligence and robotics. This platform represents a paradigm shift in the sector, since it makes it possible to reduce the size and weight of current machinery, as well as promote electrification in this sector, reducing soil compaction and CO2 emissions. SOMAGRO provides new levels of information so that farmers have greater control over the tasks carried out on crops, optimising the [...]

Boost of the first product for home use intended for therapeutic purposes and for the cognitive stimulation of people with physical, sensory or cognitive disabilities, using multisensory stimulation technologies and based on care-giving, accessible and therapeutic leisure. MOMENTS develops a suite of customisable Internet of Things (IoT) sensory devices to deliver sensory stimulation in full sync with a digital content platform. This platform allows families and therapists to create more valuable and personalised experiences for each user, both for therapy and for leisure. In this sense, the project develops a web application and a backend for therapeutic professionals, [...]

Digitalisation of two analog objects through the use of printed electronics manufactured on an industrial scale, on more sustainable supports and with a high degree of recyclability. For the first object, the objective is to be able to provide a book with digital functionalities, increasing its added value and its life cycle. The second case study aims to unify different measurements (temperature, humidity, movement) in a single product, with a higher technological level than can be manufactured with standardised components today. Eurecat participates in the Fab-4-Digital project through its Functional Printing and Embedded Systems Unit, responsible for [...]

Development of aluminum alloys with more than 90% recycled content. The ICARFA project, to obtain these aluminum alloys, establishes a methodology to obtain a constant quality from scrap metal, which results in a predictable casting process that reduces the need for primary material to balance out tramp elements. On the other hand, the project explores the limits of the alloy to comprehensively understand how chemical composition and tramp elements affect allow formability and service properties, being able to tailor the composition to requirements and applications. In addition, ICARFA explores technologies to increase formability of aluminium sheet, applying surface [...]

Enhanced rapid tests for perinatal group B streptococci (GBS) diagnosis in pregnant women and their babies. The AmpliSens project addresses the development of a rapid and portable molecular test for the screen-out of neonatal sepsis caused by GBS in the blood or cerebrospinal fluid of the newborn, as well as for the screening of pregnant women. The product developed by the project, AmpliFast, relies on two modules: a battery-operated hand-held thermocycler to perform double-tagging end-point PCR in combination with a rapid diagnostic test platform consisting of a reader and a disposable cartridge. The diagnostic test is rapid and [...]

Development of a software platform aimed at owners of storage technologies and renewable energy to increase the profitability of their projects. The DiÓptiBa project proposes decision-making support tools for optimal asset management, maximising their performance from participation in the different electricity markets. DiÓptiBa explores different models of continuous learning and the design of architectures that support the data value chain. The value proposition is to integrate technical and economic criteria into forecast algorithms, optimising the energy management strategy. Eurecat participates in the DiÓptiBa project through its Applied Artificial Intelligence Unit, in charge of developing the software platform. The [...]