Tento projekt je spolufinancován se státní podporou Technologické gentury ČR v rámci 2. veřejná soutěž - Programu průmyslového výzkumu a experimentálního vývoje TREND
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Project Details

EmIC - Vestavěná inteligence pro chytré kamery s aplikacemi počítačového vidění v dopravě a průmyslu

Project Period: 1. 10. 2020 - 30. 9. 2023

Project Type: grant

Code: FW02020040

Agency: Technology Agency of the Czech Republic

Program: 2. veřejná soutěž - Program průmyslového výzkumu a experimentálního vývoje TREND

English title
EmIC - Embedded Intelligence for Smart Cameras with Traffic and Industrial Computer Vision Applications
Type
grant
Keywords

computer vision algorithms, neural networks

Abstract

The aim of the project is to deepen the cooperation of BUT with the industrial environment, conretely the startup Cognitechna Ltd., in the form of joint research. Particularly, computer vision algorithms based on neural networks will be developed. Cognitechna is currently focused on integrating these "smart" algorithms into embedded devices with limited power, input and size. The collaboration should bring innovations in terms of adapting and optimizing neural network algorithms for such devices to suit the required speed of processing (often in real time) for the task and with sufficient accuracy. The project will focus on heterogeneous computing platforms that combine different computing resources, thus opening up wider possibilities for optimizing algorithm calculation for a given platform.

Team members
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT) , research leader
Juránková Markéta, Ing., Ph.D. (UPGM FIT VUT)
Sabela David, Ing. (UPGM FIT VUT)
Products

2023

  • Software for smart-camera embedded system, software, 2023
    Authors: Hájková Gabriela, Honec Peter, Hradiš Michal, Juránková Markéta, Klepárník Petr, Klíma Ondřej, Musil Petr, Nosko Matúš, Nosko Svetozár, Smrž Pavel, Záhorský Matej, Zemčík Pavel Detail
  • Software for the transfer of artificial intelligence algorithms into embedded systems, software, 2023
    Authors: Hájková Gabriela, Honec Peter, Hradiš Michal, Juránková Markéta, Klepárník Petr, Klíma Ondřej, Musil Petr, Nosko Matúš, Nosko Svetozár, Smrž Pavel, Záhorský Matej, Zemčík Pavel Detail

2022

  • V1: Functional sample of an embedded system with embedded artificial intelligence, specimen, 2022
    Authors: Honec Peter, Hradiš Michal, Juránková Markéta, Klepárník Petr, Klíma Ondřej, Musil Petr, Nosko Matúš, Nosko Svetozár, Smrž Pavel, Záhorský Matej, Zemčík Pavel Detail
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