V1: Funkční vzorek vestavěného (embedded) systému s umělou inteligencí

V1: Functional sample of an embedded system with embedded artificial intelligence

functional specimen

In order to use the result by another entity, it is always necessary to acquire a license

The licensor requires a license fee for the result

Honec Peter, Ing., Ph.D. (UAMT)
Hradiš Michal, Ing., Ph.D. (DCGM)
Klepárník Petr, Ing., Ph.D. (DCGM)
Klíma Ondřej, Ing., Ph.D. (DCGM)
Musil Petr, Ing., Ph.D. (DCGM)
Nosko Matúš, Bc. (FIT)
Nosko Svetozár, Ing. (DCGM)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM)
Záhorský Matej, Ing.
Juránková Markéta, Ing., Ph.D. (DCGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)

computer vision, machine learning, edge computing

A functional sample of a system demonstrating the results achieved on the technical platform "Embedded Intelligence for Smart Cameras with Computer Vision Applications for Transportation and Industry", i.e. an embedded system with possible further implementation of the AI algorithms focused primarily on computer vision embedded in the smart camera. It is an electronic device with optical input (alternatively, the electronic circuit, which can be part of the smart camera design)

COGNITECHNA s.r.o., Karásek 1m, 621 00 Brno, 541228874

EmIC - Embedded Intelligence for Smart Cameras with Traffic and Industrial Computer Vision Applications, TAČR, 2. veřejná soutěž - Program průmyslového výzkumu a experimentálního vývoje TREND, FW02020040, 2020-2023, running

Computer Graphics Research Group (RG GRAPH)

Brno University of Technology (BUT)