VIBES - Vestavěná inteligence založená na pokročilých metodách strojového učení a počítačového vidění pro adaptivní systémy počítání na okraji (edge computing)

Embedded Intelligence Based on Advanced Methods of Machine Learning for Edge-Computing Systems with an Application in Livestock Management

grant

ICT systems; embedded systems; livestock management

The goal of the project is applied research of methods and procedures for creation of advanced embedded systems and their implementation within adaptive systems combining cloud solutions with edge computing. Applying state-of-the-art machine learning techniques, computer vision and customization of embedded systems for specific tasks and conditions, including meeting the demanding conditions for operating systems in specific application environments, will lead to faster deployment of the solutions being created. The advantages of the developed solutions will be demonstrated, among other things, within the system of monitoring and management of livestock breeding, whose development is dealt with by foreign project partners - Korean company Gluesys and KETI Institute in Seoul.

Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT) , research leader
Ali Anas, Ing. (UPGM FIT VUT)
Kocman Radim, Ing., Ph.D. (CVT FIT VUT)