Publicity

R&D of technologies for advanced digitization in the Pilsen metropolitan area (DigiTech)

Project registration number CZ.02.01.01/00/23_021/0008436

Project from the grant call of the Operational Programme Johannes Amos Comenius (OP JAK) Intersectoral Cooperation for ITI - EU, MŠMT (Ministry of Education, Youth and Sports) – 01/ 05/2024 – 31/10/2028.

The DigiTech project will significantly expand the cooperation of the NTIS research center at Faculty of Applied Sciences of the UWB in Pilsen with application partners. The main purpose is to build effective cooperation enabling the application of research results in practice. The outputs and results of the resolved research project "R&D technologies for advanced digitization" will contribute to setting the environment and processes for long-term sustainability of cooperation, intellectual property protection and technology transfer between the NTIS research center and partners from industry and services.

The aim of the project is:

  • Implementation of the research plan "R&D technologies for advanced digitization" with a deal into three research topics:
    Robotics and control technologies,
    Diagnostic and decision-making technologies,
    Monitoring technology.
  • Preparation and submission of jointly processed project applications for support from national and international programs developing R&D in the given issue, both in basic (oriented) research and behalf of practical applications.

Keywords:

digitalization, technology transfer, intellectual property protection, licenses, patents, oriented research, applied research, cooperation with the application sphere, interdisciplinary cooperation, robotic and control technology, diagnostic and decision-making technology, monitoring technology, automation, robotization, technical diagnostics, automatic decision-making, speech technology, language technology, natural language processing, NLP, artificial intelligence AI, neural networks, quality SW, secure SW, learning algorithms, mathematical models, knowledge models, critical component diagnostics, fault detection, rare event diagnostics, spatial data, gravity field models , gravitational field models.