CAMEA

TACR

Projects Co-Financed by TACR

Technology Agency of the Czech Republic

Project EmIC - Embedded Intelligence for Smart Cameras with Computer Vision Applications for Transportation and Industry
Description The goal of the project is to research and develop “Embedded Intelligence for Smart Cameras with Computer Vision Applications for Transportation and Industry”, i.e. to create an embedded system with artificial intelligence, designed for computer vision in smart cameras, software for smart cameras, and implementation methods for artificial intelligence in such cameras. From the application point of view, it means applying project results in the form of an extension to the current company's portfolio of traffic and industry applications.
Project No. FW02020040
Duration 10/2020 - 09/2023

OP EIC

Projects co-financed by the European Union from OP Enterprise and Innovations for Competitiveness

OP EIC Ministry of Industry and Trade

Project Machine Learning and Artificial Intelligence in Warehouse Management
Description The main goal of this project is to develop a warehouse management solution using augmented reality with the possibility of providing it in the SaaS (Software as a Service) mode and being fully integrated into the digital transformation.
Project No. CZ.01.1.02/0.0/0.0/20_321/0024763
Duration 05/2021 - 04/2023
Project Intelligent Sensors for Traffic Monitoring (InSeM)
Description The project focuses on the design and deployment of intelligent sensors for traffic monitoring and detection of traffic violations. The focus is on camera-based systems with inputs from additional sensors such as radar, laser meters, or other additional sensor inputs to improve the utility of the resulting solution. The aim is to experimentally build such systems, verify them and obtain feedback. The planned commercial output is a smart camera with additional sensors.
Project No. CZ.01.1.02/0.0/0.0/21_374/0026902
Duration 01/2022 - 05/2023

European Union

Projects co-financed by the European Union

EU KDT JU

Project 5G ENHANCED ROBOT AUTONOMY
Description

The project is oriented toward a user-centric paradigm of integrating vertical knowledge into the existing standardised 5G testing framework to improve Quality of Experience (QoE). The project addresses the new challenges on experimental facilities for the vertical developers and designers through the following activities:

  1. integrating operational processes of essential autonomous robotic capabilities into Open Source MANO (OSM), ensuring the vertical specific adaptation of existing experimentation facilities,
  2. realising an intent-based networking paradigm by aligning the end-to-end (E2E) resource optimisation with the autonomous operations, ensuring effective policy to be designed.
  3. Cloud native Network Services (NSs) on the experimental facilities will create, ensuring robotic applications exploiting NFV/SDN infrastructures efficiently,
  4. extending the experimentation facilities into robotic domains thorough standard APIs under Robot Operating System (ROS), prompting third-parties’ experimentation activities as well as engagement from new players.
Project No. 101016681
Duration 01/2021 -12/2023