Technological Capabilities

Technological Capabilities

Digital twins

  • Digital twins with applications in construction, mobility, blue economy and agriculture, among other sectors, to optimize and increase productivity, reduce costs and provide safe working conditions.
  • Open-source software to produce digital twins for edge computing.
  • AI and machine learning-based platforms for generating digital twins.

Security & cybersecurity

  • Real-time response and mitigation of the effects of cyberattacks across ICT supply chains.
  • Algorithms for detecting physical and cyberattacks, and response mechanisms.
  • More functional and secure integrated circuits for cybersecurity and supercomputing.
  • Monitoring of intelligent fire detection systems.
  • Perception systems: vision for controlling and guiding robots.

Industry 4.0

  • Advanced production using automated technologies such as adaptive models, ATP/AFP, 3D printing, profiling processes, hot stamping.
  • Integration of drones with 4G and 5G mobile technologies.
  • Smart management of industrial plants and infrastructures.
  • Predictive maintenance of machines through IoT platforms.
  • Industrial automation and communication.
  • Energy saving through smart monitoring.
  • Flexible manufacturing processes.
  • Advanced decision-making tools for zero defect manufacturing (ZDM).
  • Digital control with microprocessors and DSP.
  • Computer vision.
  • Human-machine communication interfaces (dialogue systems).

Big Data Analytics

  • Data analysis techniques to obtain high-precision information with low-cost sensors.
  • Capability to connect and transform data from the Internet of Things (IoT) or the Internet of People (IoP) into reliable and usable information.
  • Efficient and adaptable management of large amounts of data on network devices and infrastructures.
  • Communication protocols with limited latency, high reliability and energy efficiency.
  • LoRa Mesher.
  • Alert management system with different input channels.
  • Decentralized computing and network system infrastructures, based on cooperative resource coordination models.
  • Adaptable, resilient, scalable software systems that exploit edge resources and networks for communication and computing infrastructures (cloud).

Smart Farming

  • Advanced production using automated technologies such as adaptive models, ATP/AFP, 3D printing, profiling processes, hot stamping.
  • Integration of drones with 4G and 5G mobile technologies.
  • Smart management of industrial plants and infrastructures.
  • Predictive maintenance of machines through IoT platforms.
  • Industrial automation and communication.
  • Energy saving through smart monitoring.
  • Flexible manufacturing processes.
  • Advanced decision-making tools for zero defect manufacturing (ZDM).
  • Digital control with microprocessors and DSP.
  • Computer vision.
  • Human-machine communication interfaces (dialogue systems).

Robotic process automation

  • Advanced robotic handling systems.
  • Collaborative robots, human-machine interfaces (HMI).
  • Automation of complex processes with artificial intelligence and machine learning to improve robot decision-making.
  • Intelligent robotic exoskeletons.
  • Voice recognition and response systems enabling interaction and verbal command of robots.

Mobility

  • Autonomous delivery devices for last-mile operations.
  • Drones for large-scale use.
  • IoT platforms for autonomous cars.
  • Multimodal image sensors for autonomous vehicles.
  • Interconnected and secure mobility through remote sensing and optical communication systems, RADAR and LiDAR sensors.
  • Autonomous underwater vehicles with sensors to detect and map the environment.
  • Passenger demand prediction, social trends based on learning and decision-making systems.
  • New mobility services for public transport.

eHealth

  • Surgical robots.
  • Virtual reality and augmented reality for telerehabilitation.
  • Low-cost devices for remote cardiovascular monitoring.
  • Image processing to diagnose injuries.
  • Differential diagnosis in patients with Parkinson’s disease using biomechanical tests.
  • Advanced non-intrusive remote health evaluation.
  • IoT medical devices.
  • Wearable tech.
  • Modelling of human body movement.
  • Biomedical signal processing.

Smart building & BIM

  • Advanced optimization to monitor errors in smart infrastructures.
  • IoT platforms with deep learning applied to smart homes.
  • Modular sensors to identify bridge structures subjected to quasi-static loads.
  • 3D printing of insulating composites useful in construction.
  • Energy information in digital administration.

Smart home

  • Energy efficiency.
  • Internet architectures with open-source software and hardware protocols aimed at 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.

Edge & cloud computing

  • Efficiency and optimization of artificial intelligence systems.
  • Efficient artificial intelligence for cloud computing.
  • Digital energy transition through the exchange of intelligence and data.

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