Product Details

Software pro vestavěný systém chytré kamery

Created: 2023

English title
Software for smart-camera embedded system
required - licence fee
Hájková Gabriela, Mgr. (DEAN FIT BUT)
Honec Peter, Ing., Ph.D. (COGNITECHNA)
Hradiš Michal, Ing., Ph.D. (COGNITECHNA)
Juránková Markéta, Ing., Ph.D. (DCGM FIT BUT)
Klepárník Petr, Ing., Ph.D. (COGNITECHNA)
Klíma Ondřej, Ing., Ph.D. (COGNITECHNA)
Musil Petr, Ing., Ph.D. (COGNITECHNA)
Nosko Svetozár, Ing. (COGNITECHNA)
Smrž Pavel, doc. RNDr., Ph.D. (COGNITECHNA)
Záhorský Matej, Bc. (COGNITECHNA)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)

computer vision,machine learning,edge computing


The result of V2 is a service and configuration software, which is configured through a web interface. Within the EmIC project, V2 is deployed on an NVIDIA Jetson computing module, which is part of the V1 result. V2 consists of several modules including functions for device configuration, data reception from cameras, and an environment for running neural networks. In the case of applications running on V1, the runtime environment is based on the TensorRT framework, which enables fast and efficient data processing using neural networks. The neural networks themselves used in V2 are trained and optimized by V3 software. This software is designed to support the transfer of artificial intelligence algorithms to embedded systems, allowing real-time data processing.

Research groups
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