TECHNLOGICAL CAPABILITIES
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
- Researchers from the Advanced Broadband Communications Centre (CCABA) and the Optical Communications Group (GCO) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) participate in the B5G-OPEN (Beyond 5G – OPtical nEtwork coNtinuum) project. This project is funded by the European Union, in the framework of which a new end-to-end integrated packet-optical transport architecture based on multiband optical transmission and switching networks is being designed and prototyped.
- Autonomous vehicles are a reality that we are getting closer to gradually but inevitably. The Centre for Sensors, Instruments and Systems Development (CD6) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) has developed technologies for this type of vehicles that improve safety on journeys. To meet the needs of perceiving the environment at long range, a very complete set of sensors has to be developed, including cameras, LIDAR (Light Detection and Ranging) and radar.
- The aim of ANEM, in which SISCOM of the UPC participates, has been to develop, using latest generation models and techniques, a modular platform that can generate synthetic data (that is, not real data but data that can be used to train the artificial intelligence), protected from potential threats in the area of cybersecurity.
- The mobility of the future must be more intelligent, sustainable and connected. In this context, the project ‘Solutions for smart mobility’, with the participation of the Laboratory of the Barcelona School of Informatics (inLab FIB) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), has developed a predictive model for the occupation of passengers in public transport buses based on deep learning methods.
