Project detail

Real-time stream sharing platform during security incidents and emergencies for Rescue Service with content analysis using artificial intelligence

Duration: 01.01.2022 — 31.12.2023

Funding resources

Ministerstvo vnitra ČR - Programu bezpečnostního výzkumu ČR 2021-2026: vývoj, testování a evaluace nových bezpečnostních technologií (SECTECH) - I. veřejná soutěž

- whole funder (2021-10-21 - not assigned)

On the project

Description in English
The aim of the project is to develop a platform for real-time image sharing during security incidents and emergencies for the IRS with content analysis using artificial intelligence methods. The added value of the solution will be the recognition and detection of objects in the image stream. A secondary objective is the development and integration of a solution in the 5G trend for the transmission of the image stream from the intervention using mobile technologies to the sharing platform. The outcome of the project targets emergency crisis incidents where it is necessary not only to map the terrain, but to monitor the evolution of the situation in real time and to recognize the movement of various objects. These events include in particular: large fires, floods, accident response, rescue of people by searching in the field or radiation monitoring in emergency situations.

Key words in English
Rescue Service, artificial intelligence, real-time stream sharing

Mark

VB01000028

Default language

Czech

People responsible

Mlýnek Petr, doc. Ing., Ph.D. - fellow researcher
Přinosil Jiří, Ing., Ph.D. - fellow researcher
Říha Kamil, doc. Ing., Ph.D. - principal person responsible

Units

Department of Telecommunications
- beneficiary (2021-04-21 - not assigned)

Results

MLÝNEK, P.; PŘINOSIL, J.; ŘÍHA, K.; KŘÍŽ, P.; PROCHÁZKA, B.; Vysoké učení technické v Brně, Brno, Veveří, CZ GINA Software s.r.o., Brno, Medlánky, CZ: Sestava pro sdílení obrazu v reálném čase s prvky detekce. 36574, užitný vzor. (2022)
Detail

MLÝNEK, P.; KŘÍŽ, P.; SIKORA, P.; ŘÍHA, K.; PŘINOSIL, J.; PROCHÁZKA, B.: SW_IZS; Software pro analýzu obrazového obsahu. UTKO, VUT, SG lab SD 5.64 Technická 12, Brno. URL: https://www.utko.fekt.vut.cz/vysledky-vav. (software)
Detail

Responsibility: Říha Kamil, doc. Ing., Ph.D.