Projects Co-Financed by TACR
The following projects are co-financed with state support from the Technology Agency of the Czech Republic under the TREND Programme for Support of Industrial Research and Experimental Development and under the National Recovery Plan from the European Instrument for Recovery and Resilience through the Technology Agency.
| Project | EMIR - 5G-Enhanced Embedded Intelligence for Robotic Autonomy and Smart City Monitoring Application |
|---|---|
| Description | The project focuses on the use of advanced features of 5G networks (eg slicing) to expand existing and new COGNITECHNA products in order to use existing and gradually expanding standards of 5G (and higher) networks, with a possible contribution to new standards. Some existing solutions of COGNITECHNA s.r.o. Today, they rely on communication via 4G networks and for some data transmission applications only in places where it is possible to connect them via a standard Ethernet cable, or where a dedicated WiFi network is available. The project of enabling the implementation of new functionality, which is currently not possible to provide in the required scope or quality. |
| Project No. | FW07010052 |
| Duration | 01/2023 - 12/2025 |
| Funding |
This project is co-financed with state support from the Technology Agency of the Czech Republic and the Ministry of Industry and Trade of the Czech Republic under the TREND Programme within the National Recovery Plan from the European Instrument for Recovery and Resilience.   |
| Project | RoQuIEm - 5G-enabled Road Quality Monitoring based on Embedded Intelligence |
|---|---|
| Description | The goal of the proposed project is to use existing mobile parking monitoring systems to acquire additional relevant traffic data, such as parameters and condition of roads, traffic signs, but also other other data. In order to improve QoS and QoE, the features of the 5G network will be used to enable high-quality data recording and real-time processing in the cloud environment. In addition, next-generation networks will be used to distribute information about the state of the road and surrounding infrastructure. Technically, it is an extension to the existing traffic monitoring system on the vehicle through additional sensors and novel functions. |
| Project No. | FW08010018 |
| Duration | 06/2023 - 12/2025 |
| Funding |
This project is co-financed with state support from the Technology Agency of the Czech Republic and the Ministry of Industry and Trade of the Czech Republic under the TREND Programme within the National Recovery Plan from the European Instrument for Recovery and Resilience. |
| Project | RoSuM - 5G-enabled Road Surface Marking and Traffic Sign Localization, Quality Inspection, and Regular Passportization |
|---|---|
| Description | The aim of the project is to create a system for automated visual inspection of the condition of the road, road markings, traffic equipment and other assets of the road administrator. The system will use continuous data collection using smart camera devices for fast fault detection, and these will be clearly reported to the administrator of the communications. The system will utilize modern machine learning methods and advanced localization algorithms that allow the manufacturing of cheaper and more usable equipment than currently available on the market. The overall system will consist of a smart camera, software using artificial intelligence and existing map data for in-camera data selection, and a cloud system for final evaluation and reporting of communication defects and changes. |
| Project No. | FW08010017 |
| Duration | 06/2023 - 12/2025 |
| Funding |
This project is co-financed with state support from the Technology Agency of the Czech Republic and the Ministry of Industry and Trade of the Czech Republic under the TREND Programme within the National Recovery Plan from the European Instrument for Recovery and Resilience. |
Finished Projects
| 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 |
| Funding |
This project was co-financed with state support from the Technology Agency of the Czech Republic and the Ministry of Industry and Trade of the Czech Republic under the TREND Programme. |
Projects co-financed by the European Union from OP Enterprise and Innovations for Competitiveness
| 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 |
| Funding |   |
| 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 |
| Funding | |
Projects co-financed by the European Union from OP Technologies and Applications for Competitiveness
| Project | Image Data Processing and Machine Learning at NXP |
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| Description | The aim of the project is to develop a new generation of advanced chips and methods usable for application on mobile platforms within the cooperation of NXP Semiconductors Czech Republic s.r.o. as the main applicant, CAMEA, spol. s r.o. and COGNITECHNA s.r.o. as project partners. |
| Project No. | CZ.01.01.01/01/22_002/0000607 |
| Duration | 11/2023 - 05/2026 |
| Funding |  |
Projects co-financed by the European Union
| Project | Long Life Power Platforms for Internet of Things |
|---|---|
| Description |
In LoLiPoP IoT innovative Long Life Power Platforms are developed that enable retrofit of wireless sensor network (WSN) In LoLiPoP IoT innovative Long Life Power Platforms are develloped that enable retrofit of wireless sensor network (WSN) modules in in IoT applications. They can be applied to APPLICATIONS of industry 4.0, smart mobility and building energy efficiency. Create an ecosystem of developers, integrators and users to develop these platforms thinking about power/battery life, ease of installation and maintenance. |
| Project No. | 101112286 |
| Duration | 06/2023 - 05/2026 |
| Funding |    |
| 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:
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| Project No. | 101016681 |
| Duration | 01/2021 - 06/2024 |
| Funding | |