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Project detail
Duration: 01.01.2023 — 31.12.2025
Funding resources
Technologická agentura ČR - 7. veřejná soutěž - Program průmyslového výzkumu a experimentálního vývoje TREND
- whole funder
On the project
Předmětem projektu je výzkum a vývoj prototypu pro monitorování bezpečnosti stavu ovzduší v průmyslových objektech s použitím pokročilých senzorů a software pro vizualizaci a řízení sítě senzorů s použitím webového uživatelského rozhraní.
Description in EnglishThe aim of the project is research and development of a prototype monitoring device for continuous monitoring of indoor air quality and safety in buildings and industrial buildings using advanced sensors and development of evaluation software for data analysis from these sensors using artificial intelligence, visualization of results and sensors control using the web user interface. The designed components will be interconnected via a 5G network, through which the measured data will be sent to the cloud storage, where they will be continuously analyzed. This will make it possible to continuously monitor the condition of the building's indoor environment and draw attention to the occurrence of dangerous concentrations of undesirable substances in the air and other risk conditions.
Keywordselektronický nos, umělá inteligence, senzory, 5G
Key words in Englishsensors, electronic nose, artificial intelligence
Mark
FW07010015
Default language
Czech
People responsible
Jonák Martin, Ing., Ph.D. - fellow researcherBurget Radim, doc. Ing., Ph.D. - principal person responsible
Units
Department of Telecommunications- (2022-05-16 - not assigned)
Results
RASHID, S.; KARNATI, M.; AGGARWAL, G.; DUTTA, M.; SIKORA, P.; BURGET, R. Attention-based Multiscale Deep Neural Network for Diagnosis of Polycystic Ovary Syndrome Using Ovarian Ultrasound Images. In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Ghent: IEEE Computer Society, 2023. p. 44-49. ISBN: 979-8-3503-9328-6. ISSN: 2157-023X.Detail
SIKORA, P.; KIAC, M.; COSTA, P.; MOLINERO-GARCÍA, A.; GORSKA, M. Automatic image analysis applied to the recognition of quartz surface microtextures using neural network. MICRON, 2024, vol. 182, no. July 2024, p. 1-10. ISSN: 1878-4291.Detail
KŘÍŽ, P.; SIKORA, P.; ŘÍHA, K.; BURGET, R. Unveiling the Smell Inspector and Machine Learning Methods for Smell Recognition. In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Ghent: IEEE Computer Society, 2023. p. 182-187. ISBN: 979-8-3503-9328-6.Detail