TECHNLOGICAL CAPABILITIES

 

 

Internet of Things

Connectivity

  • Communication protocols that guarantee considerable time constraints and offer a bounded latency along with high reliability and energy efficiency in fields such as IoT and industry 4.0.
  • IoT mesh networks with low-power radios.
  • IoT alert management system that enables users to handle different input channels, keep track of input device files, and send out alert messages.
  • Decentralized computing and networking systems infrastructures based on cooperative resource coordination models.
  • Adaptable, resilient, scalable software systems that exploit edge resources and networks for communications and computing infrastructures (cloud).

Security & Cybersecurity

  • Real-time response and mitigation of the effects of cyberattacks across ICT supply chains, focused on the field of IoT.
  • More functional and secure integrated circuits in fields such as IoT, cybersecurity, and supercomputing.
  • Algorithms for the detection of physical and cyber attacks.
  • Cybersecurity in the maritime industry.
  • Monitoring of intelligent fire detection systems.
  • High availability infrastructure.
  • Intrusion detection and response mechanisms.
  • Perception systems: vision to control and guide robots.

eHealth

  • Surgical robots.
  • Virtual reality and augmented reality for telerehabilitation.
  • Low-cost devices for remote cardiovascular monitoring.
  • Image processing for diagnosing injuries.
  • Differential diagnosis in patients with Parkinson’s through biomechanical tests.
  • Advanced non-intrusive remote health assessment.
  • IoT medical devices.
  • Biophotonics.
  • Biosensors.
  • WearableTech.
  • Modeling of human body movement.
  • Instrumentation. Biomedical signal processing.

Smart Farming

  • Agriculture 4.0: systems for capturing and processing images and telecommunications systems based on data science.
  • Application of Digital Twins for irrigated agriculture.
  • Automation and mechanization of production processes in smart agriculture.
  • Development of measurement systems in agriculture and communication of data with lower energy consumption.
  • Remote sensing for outdoor crops using drones and satellites.
  • Improvement of productivity with mobile robots.
  • Design of agricultural machinery sensor-equipped.
  • Livestock monitoring and disease detection using biometric sensors.

Robotic Process Automation

  • Agriculture 4.0: systems for capturing and processing images and telecommunications systems based on data science.
  • Application of Digital Twins for irrigated agriculture.
  • Automation and mechanization of production processes in smart agriculture.
  • Development of measurement systems in agriculture and communication of data with lower energy consumption.
  • Remote sensing for outdoor crops using drones and satellites.
  • Improvement of productivity with mobile robots.
  • Design of agricultural machinery sensor-equipped.
  • Livestock monitoring and disease detection using biometric sensors.

Edge and Cloud Computing

  • Communication protocols that guarantee considerable time constraints and offer a bounded latency along with high reliability and energy efficiency in fields such as IoT and industry 4.0.
  • IoT mesh networks with low-power radios.
  • IoT alert management system that enables users to handle different input channels, keep track of input device files, and send out alert messages.
  • Decentralized computing and networking systems infrastructures based on cooperative resource coordination models.
  • Adaptable, resilient, scalable software systems that exploit edge resources and networks for communications and computing infrastructures (cloud)

Energy efficiency

  • Internet architecture with new protocols, open software, and hardware aimed at Internet management in cases such as privacy by design, IoT, network optimization, e-commerce security, and energy efficiency.
  • Smart, modular, and scalable batteries using big data analysis, artificial intelligence, and IoT.
  • Energy management in smart factories.
  • Light energy harvesting for autonomous sensors.

Smart Building & BIM

  • Advanced optimization for monitoring errors in smart infrastructures.
  • IoT platform using deep learning algorithms to bring benefits to smart homes.
  • Measurements from the IoT platform of the social and environmental impact produced by U-Space.
  • Modular sensors for identifying bridge structures under quasi-static loads.
  • 3D printing of insulating composites useful in construction.
  • Energy information in digital administration.
  • SmartHome

Digital Twins

  • Digital twin platform to improve the construction industry, optimize and increase productivity, reduce costs, and ensure safe working conditions using IoT.
  • Open-source software to produce Digital Twins that operate on the edge (edge computing).
  • AI-based platforms for Digital Twins.
  • Digital Twins in the Blue Economy
  • MobilityDigitalTwin

Industry 4.0

  • Advanced production through automated technologies such as adaptive models, ATP/AFP, 3D printing, curved pultrusion profiles, hot stamping, innovative composite connections.
  • Integration of drones with 4G and 5G mobile technologies.
  • Predictive management and maintenance of machines using IoT platforms.
  • Industrial automation and communication.
  • Artificial intelligence.
  • Intelligent monitoring of industrial processes.
  • Energy savings through intelligent monitoring.
  • Sensor systems and data extraction.
  • Techniques to control and monitor the quality of the process/product.
  • Flexible manufacturing processes.
  • Advanced decision-making tools for Zero Defects Manufacturing (ZDM).
  • Digital control with microprocessors and DSP.
  • Human-machine collaboration.
  • Computer vision.
  • Human-machine communication interfaces (dialogue systems).
  • Advanced information models for knowledge generation and learning.

Big Data Analytics

  • Data analysis techniques to improve the accuracy of data acquired through low-cost sensors.
  • Internet of Things (IoT) or Internet of People (IoP) connected between machines, sensors, and people, as well as the ability to transform data into usable and reliable information.
  • Management of large amounts of data on devices and network equipment, as well as efficient and adaptable management of network infrastructure.
  • Managing the resulting complexity of systems with massive volumes of data made available by next-generation, instantaneous, and widespread communication networks.
  • Communication protocols that ensure significant temporal limitations and offer limited latency along with high reliability and energy efficiency in fields such as IoT and Industry 4.0.
  • IoT mesh networks with low-power radios.
  • Alert management system that allows users to manage different input channels, track device input files, and send alert messages.
  • Decentralized computing and network system infrastructures based on cooperative resource coordination models.
  • Adaptable, resilient, and scalable software systems that exploit edge resources and networks for communications and computing infrastructures (cloud).

Learn more about IoT here 

PROJECTES RELACIONATS