The aim of our research and development is to use new technological opportunities created by the digital transformation of industry. Also, to make production and logistics networks more efficient and adaptable to changing circumstances, while taking...
Results of the HydroCobotics H2020 cascade project may enhance the possibilities of hydroponic systems to make an already environment-friendly and efficient plant production system even more popular.
The main, overall objective of the project is to establish the Centre of Excellence in Production Informatics and Control (EPIC CoE) as a leading, internationally acknowledged focus point in the field of cyber-physical production systems. The main...
Industry 4.0 Research and Innovation Centre of Excellence
Department in charge
Progressive and well scheduled building of bridges between the physical and digital worlds, a special readiness for innovative adaptation, answers to challenges in a prompter way than any time before, including bold steps to be made concerning...
Our department develops a 2-camera vision system within the MTA-SZTAKI ISAAC internal project, which system can detect and track a small UAV in real-time on the Sindy aircraft. The system can also identify dangerous approaches. Many algorithmic...
MTA SZTAKI, EMI Laboratory has started a 24 month long, EUREKA international R&D&I cooperation project under the acronym: INTRO4.0 , on the 1st of April, 2016. Due to the international EUREKA project class, the national partners prepare cooperation...
Started in January 2016, the EXCELL project (Actions for Excellence in Smart Cyber-Physical Systems applications through exploitation of Big Data in the context of Production Control and Logistics) foresees the collaboration of researchers from four...
STREAMLINE will address the competitive advantage needs of European online media businesses (EOMB) by delivering fast reactive analytics suitable in solving a wide array of problems, including addressing customer retention, personalized...
Alternative machine learning models in financial customer knowledge
Department in charge
Our goal is to overcome the present state of the art (decision trees, logistic regression) in analyzing customer behavior and predicting risks for bank customers. We emphasize the deployment of open source analytics software. Our partner is OTP Bank.
Simulation analysis for Hoya Szemüveglencse Gyártó Magyarország Ltd.
Department in charge
Since autumn 2015, our laboratory cooperates with Hoya Szemüveglencse Gyártó Magyarország Ltd. within the topics of simulation analysis and „Industry 4.0”. The primary goal of the project is to model different segments of the company’s plant in...
The European manufacturing industry is facing challenges in terms of adaptability, flexibility and vertical integration. The SYMBIO-TIC project adresses these important issues towards a safe, dynamic, intuitive and cost effective working environment...
