Development Projects

1 Nov 2016– 31 Oct 2020

The Industry 4.0 National Technology Platform was established under the leadership of the Institute for Computer Science and Control (SZTAKI), Hungarian Academy of Sciences, with the participation of research institutions, companies, universities and professional organizations having premises in Hungary, and with the full support and commitment of the Government of Hungary, and specifically that of the Ministry of National Economy.

1 Oct 2023– 30 Sep 2026

Recent disaster events, like the 2021 flood in Germany showed clearly, that even the best alert systems and top first responder organisations can not prevent fatalities and serious damage on property without having prepared the citizens how to act and react during disaster situations and crises, understand alerts and follow instructions. B-prepared offers a cost-effective solution for building a culture of disaster preparedness with a multi-actor approach in realistic historical scenarios.

20 Sep 2023– 31 Mar 2024

The project will further develop and optimise the road defect detection algorithm developed within ARNL. The algorithm uses a self-learning neural network, LiDAR and camera fusion to determine road surface deviations in front of vehicles that are important for vehicle speed. The resulting system warns the driver if a speed reduction is required, or generates an intervention signal to the vehicle control system in the case of a self-driving vehicle.

12 Sep – 15 Dec

Our undertaking focuses on enhancing metadata schema capabilities, which includes offering a user-friendly metadata schema authoring and registry tool, leveraging the CEDAR system. Furthermore, we aim to enrich the description of datasets by employing the RO-Crate format.

Under Support Offer #2, our objective is to expand the Dataverse functionalities to encompass RO-Crate import and export. This will utilize the metadata schemas, also known as metadata blocks, available in a Dataverse installation.

1 Jun 2023– 31 Dec 2024

The Multinational Capability Development Campaign (MCDC) Artificial Intelligence Supported by Sensor Fusion project was jointly organised by HUN-REN SZTAKI (Hungarian Research Network Computer and Automation Research Institute), the MH Military Modernisation and Transformation Command (MH HTP) and the HVK Capability Development Office.

5 Feb – 31 Aug

PREdictor for HUman-RObot COllaboration (PREHUROCO) utilizes interactive technologies in a new innovative way to create a cobot independent pre-collision approach for reducing these cumulative delays. PREHUROCO technology creates a shared virtual reality workspace over the Internet/Intranet for humans and robots. The human operator will be digitally immersed into the real-time digital twin of the manufacturing cell by XR visualization and/or haptic feedback.

23 Sep 2020– 22 Sep 2024

Knowledge graphs have become the most important tools of sharing and connecting research or industry information and contacts.  These graphs enable, in a flexible way, the access, use and publication of data as a distributed system.

1 Jul 2020– 31 Dec 2023

The DIGITbrain project aims to enable customised industrial products and to facilitate cost-effective distributed and localised production for manufacturing SMEs, by means of leveraging edge-, cloud- and HPC-based modelling, simulation, optimisation, analytics, and machine learning tools and by means of augmenting the concept of digital twin with a memorising capacity towards a) recording the provenance and boosting the cognition of the industrial product over its full lifecycle, and b) empowering the network of DIHs to implement the smart business model "Manufacturing as a Service".

Apr 2020

The goal of the project is to establish a Hungarian research data repository supporting the COVID-19 pandemic related research initiatives.  The research data repository serves as a data store and repository solution both for international and national uses, and provides a definite (peer-to-peer) controlled reliable data sharing platform.

The system builds on the secure data storage and well defined access rights existing in the MTA Cloud services, which is jointly maintained by SZTAKI and Wigner research institutes. 

1 Jan 2020– 31 Dec 2024

The DigiPrime H2020 consortium groups 8 research centers and 25 companies of 36 European countries that plays major role in the digitization of circular economy. SZTAKI joins in with AI and Digital Twin solutions, among other technical and scientific expertise.