Oto Haffner

I am a young researcher and educator working on applications of computer and machine vision in mechatronic systems using modern ICT such as microcomputers, cloud, computational intelligence, etc. My current focus is on the use of deep learning in practical applications for Industry 4.0 such as visual quality control. I am also involved in modelling and simulation of production processes in manufacturing. I have experience in leading research teams in domestic projects. I have been responsible for 2 projects of the Young Researchers Support Programme. I was in the position of deputy head of the KEGA project, which ended with an excellent evaluation and the societal benefit of its results was stated. Currently, I am also the deputy project leader of a KEGA project. In addition to my professional interests, I am also interested in multimedia, film, video, photography and 3D graphics.

EDUCATION

Third level of higher education (PhD.)
Faculty of Electrical Engineering and Information Technology STU in Bratislava [ 2013 – 2016 ]
study programme Mechatronic Systems

Second degree of higher education (Ing.)
Faculty of Electrical Engineering and Information Technology STU in Bratislava [ 2011 – 2013 ]
study programme Robotics

First degree of higher education (Bc.)
Faculty of Electrical Engineering and Information Technology STU in Bratislava [ 2008 – 2011 ]
study programme Industrial Informatics in the combination of the fields of study Automation and Applied Infrormatics

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Control and Systems Engineering

Scopus Publications

A LOW-COST VEHICLE ASSISTANCE SYSTEM FOR DETECTION OF CRITICAL DRIVING SITUATIONS
Michal Hlavatý, Ján Cigánek, Alena Kozáková, Erik Kučera, and Oto Haffner
Walter de Gruyter GmbH
Abstract The paper presents a low-cost driver fatigue detection camera system for older car models that do not have built-in fatigue detection systems. Based on a review of current solutions and image processing methods for face and eye detection, the Viola-Jones method for face detection and the cascade regression for eye detection were selected to enable real-time detection via smartphones and avoid the high cost of traditional systems. The proposed system has been successfully tested with real-time video under laboratory conditions.


Using Mixed Reality for Control and Monitoring of Robot Model Based on Robot Operating System 2
Dominik Janecký, Erik Kučera, Oto Haffner, Erika Výchlopeňová, and Danica Rosinová
MDPI AG
This article presents the design and implementation of an innovative human–machine interface (HMI) in mixed reality for a robot model operating within Robot Operating System 2 (ROS 2). The interface is specifically developed for compatibility with Microsoft HoloLens 2 hardware and leverages the Unity game engine alongside the Mixed Reality Toolkit (MRTK) to create an immersive mixed reality application. The project uses the Turtlebot 3 Burger model robot, simulated within the Gazebo virtual environment, as a representative mechatronic system for demonstration purposes. Communication between the mixed reality application and ROS 2 is facilitated through a publish–subscribe mechanism, utilizing ROS TCP Connector for message serialization between nodes. This interface not only enhances the user experience by allowing for the real-time monitoring and control of the robotic system but also aligns with the principles of Industry 5.0, emphasizing human-centric and inclusive technological advancements. The practical outcomes of this research include a fully functional mixed reality application that integrates seamlessly with ROS 2, showcasing the potential of mixed reality technologies in advancing the field of industrial automation and human–machine interaction.


Applications of Machine Learning and Computer Vision in Industry 4.0
Oto Haffner, Erik Kučera, and Danica Rosinová
MDPI AG
Among the most important economic activities of humankind is industry [...]


ARValidat - Application for checking the status of CAD assemblies in AR
Martin Pajpach, Erik Kučera, Oto Haffner, Lukáš Beňo, Dominik Janecký, and Dušan Vojtko
IEEE
The use of AR technology is now commonplace in industrial practice, whether it is for assembly, maintenance, human-robot collaboration or employee training. This paper presents the design and implementation of ARValidat, an augmented reality application for checking the validation status of structural assemblies. It combines an authentic view of the assembly prepared in CAD software in AR with a graphical display of the validation results. This contributes to an easier understanding of errors associated with the constructed assembly, such as missing or unfilled customer-required parameters, and improves communication between 3D designers and project managers or customers.


Augmentation of Handwritten Slovak Diacritical Letters Using GAN networks
Oto Haffner, Dmytro Potapov, Erik Kučera, Lukáš Beňo, Matin Pajpach, and Dominik Janecký
IEEE
This paper addresses the challenge of the limited availability of quality datasets for handwritten Slovak letters with diacritical marks, which are crucial OCR applications. Manually expanding these datasets is time-consuming and resource-intensive, so augmenting them using Generative Adversarial Networks (GANs) was explored. DCGAN, cDCGAN, and AC-DCGAN architectures to generate synthetic images of Slovak letters with diacritical marks and incorporated these into the existing EMNIST dataset were utilized. The experiments showed that adding these generated images significantly improved CNN accuracy in classifying Slovak letters, with AC-DCGAN providing the best results. These findings indicate that GAN-generated synthetic data is an effective way to address data scarcity and enhance machine learning model performance, particularly for languages with unique character sets like Slovak.


Engaging Students in STEM: A Practical Approach with a Custom GUI Application for XY Plotter
Ľuboš Galandák, Erik Kučera, and Oto Haffner
IEEE
This paper examines the complex topic of STEM education, with a specific emphasis on mechatronics and its dissemination among the general public. An analysis of the current state of STEM education was conducted, identifying key challenges that contribute to the perception of STEM and mechatronics as difficult and less appealing subjects for students. Furthermore, a method to motivate students in these disciplines was proposed, involving the introduction of a simplified XY plotter, based on an existing design but enhanced with custom-developed software components. It is argued that the most effective approach to fostering student interest in STEM and mechatronics is through the presentation of accessible, practical examples that allow for further development and exploration


Transforming IoT with Scalable Serverless Architecture for Enhanced Data Collection
Lukáš Beňo, Erik Kučera, Oto Haffner, Martin Mečír, Martin Pajpach, and Dominik Janecky
IEEE
Article explores the development and implementation of an IoT application utilizing Azure Functions, focusing on creating a scalable and efficient system for real-time data processing. The work integrates Azure Functions with a React-based web application, offering a practical approach to building robust IoT solutions using serverless architecture. A comprehensive analysis of various serverless platforms, including Microsoft Azure, AWS Lambda, and Google Cloud Functions, is provided, highlighting their advantages. The implementation phase demonstrates the effective use of Azure Functions and CosmosDB to gather and process data from IoT devices. The results showcase the potential of serverless computing in developing modern, scalable, and cost-effective IoT applications.


Smart Platform for Monitoring and Control of Discrete Event System in Industry 4.0 Concept
Filip Žemla, Ján Cigánek, Danica Rosinová, Erik Kučera, and Oto Haffner
MDPI AG
We are now living in a time when the fourth industrial revolution is bringing new technologies with intensive digitalization of all levels of production. This paper presents a complex solution for the monitoring, diagnosis, and control of the production process, in our case, discrete event systems. The proposed solution—a mechatronic platform—further develops and extends our recent results where the overall concept was outlined and some partial tasks were studied. The present paper provides the complete structure of the proposed platform together with implementation details for all functionalities. The developed platform uses the latest technologies, such as OPC UA; industrial communication and visualization protocols and tools; and augmented reality, which enables comfortable interaction with real processes. The laboratory-scaled case study shows the qualities of the proposed solution.


Complex Positioning System for the Control and Visualization of Photovoltaic Systems
Filip Žemla, Ján Cigánek, Danica Rosinová, Erik Kučera, and Oto Haffner
MDPI AG
This paper presents a proposal of a complex mechatronic system that enhances the effectivity of obtaining energy from renewable resources. The main focus is on the photovoltaic energy system, which obtains electricity from the conversion of solar radiation through photovoltaic crystalline silicon-based panels. The design of the complex mechatronic system consists of several steps. The structural design of the photovoltaic panel positioning unit in the form of a three-dimensional model is made in the selected modelling programming environment. Subsequently, a propulsion system is proposed for the designed structure, the functionality of which is verified in the programming environment Automated Dynamic Analysis of Mechanical Systems. The control system design using a programmable logical controller is also presented. The corresponding control algorithm is designed in the programming environment Step7 and covers the optimal positioning of photovoltaic panels. The developed application in the WinCC environment provides a visualization of the positioning control process. The conclusion is devoted to the assessment of the obtained results for the proposed complex mechatronic system for photovoltaic panel positioning in comparison with photovoltaic panels in fixed installation. The presented results were obtained by simulations.


Educational Case Studies: Creating a Digital Twin of the Production Line in TIA Portal, Unity, and Game4Automation Framework
Michal Balla, Oto Haffner, Erik Kučera, and Ján Cigánek
MDPI AG
In today’s industry, the fourth industrial revolution is underway, characterized by the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data. One of the key pillars of this revolution is the technology of digital twin, which is rapidly gaining importance in various industries. However, the concept of digital twins is often misunderstood or misused as a buzzword, leading to confusion in its definition and applications. This observation inspired the authors of this paper to create their own demonstration applications that allow the control of both the real and virtual systems through automatic two-way communication and mutual influence in context of digital twins. The paper aims to demonstrate the use of digital twin technology aimed at discrete manufacturing events in two case studies. In order to create the digital twins for these case studies, the authors used technologies as Unity, Game4Automation, Siemens TIA portal, and Fishertechnik models. The first case study involves the creation of a digital twin for a production line model, while the second case study involves the virtual extension of a warehouse stacker using a digital twin. These case studies will form the basis for the creation of pilot courses for Industry 4.0 education and can be further modified for the development of Industry 4.0 educational materials and technical practice. In conclusion, selected technologies are affordable, which makes the presented methodologies and educational studies accessible to a wide range of researchers and solution developers tackling the issue of digital twins, with a focus on discrete manufacturing events.


Enlightening University Students about Containerization through an Interactive Webpage
Lukáš Beňo, Rudolf Pribiš, Erik Kučera, Oto Haffner, Martin Pajpach, and Ján Baranovič
IEEE
Enlightenment about containerization is crucial for staying up-to-date with modern software development practices. It enables effective utilization of container orchestration platforms, efficient application deployment and management, enhanced portability and scalability, cost savings, and future technology adoption. However, the integration of containerization education in universities is often limited, highlighting the need for educational resources to bridge this knowledge gap. To address this gap, this work aims to create a web application dedicated to promoting awareness and providing educational resources on containerization.


Gesture Recognition System Based on Motion Capture Suit and LSTM Neural Network
Oto Haffner, Erik Kučera, Lukáš Beňo, Rudolf Pribiš, Matin Pajpach, and Dominik Janecký
IEEE
Human-robot interaction (HRI) is the study of how humans interact with robots and how to design robots that can interact effectively with humans in a wide range of environments. The aim of this work is to design and implement an HRI system that uses motion capture suit and artificial neural networks to recognize dynamic gestures for improved user interaction. The design of the system takes the form of a simple graphical user environment application, in which the user sees his own movement in real time, also with the prediction of the gesture performed. The work laid the theoretical and practical foundation for future research in the area of reading motion data from mocap suits for the purpose of dynamic gesture detection. The contribution can be used in the design and implementation of other HRI systems in the future.


Emerging Trends in Education for Industry 4.0 and 5.0 Engineers in Slovakia Using E-learning Web Applications
Rudolf Pribiš, Oto Haffner, Lukáš Beňo, Dominik Janecký, Erik Kučera, Martin Pajpach, Adam Juriš, Michal Hamrák, and Šimon Zajac
IEEE
This document deals with the challenges in the teaching process that must respond agilely to the challenges of technological advances and other unexpected stimuli (the recent COVID pandemic, assertion of power interests, etc.). It confronts the terms Industry 4.0 and Industry 5.0 and illustrates the importance of interoperability and enumerates the technologies to achieve it. It also presents an experimental platform for Industry 4.0 that addresses several Industry 5.0 challenges at the Institute of Mechatronics at the Slovak Technical University in Bratislava. It explains the importance of teaching Industry 4.0 technologies as a whole and introduces the development of an e-learning web application as a way of learning the necessary skills and shares its benefits and results.


Monitoring and Control of Discrete-Event System Using Augmented Reality and Open-Source PLC
Erik Kučera, Oto Haffner, Lukáš Beňo, Rudolf Pribiš, Martin Pajpach, and Dominik Janecký
IEEE
This paper deals with the interfacing of open-source PLC (Programmable Logic Controller) with augmented reality. The goal is to create an interactive environment for monitoring and control of automation processes. Creating new types of human-machine interfaces (HMIs) is one of the challenges of the Industry 4.0 concept and also relates to the Industry 5.0, which is the coming revolution to be human-centric. The practical part of the project focuses on the implementation of interfacing between PLC and augmented reality using OPC UA (Open Platform Communications Unified Architecture) and MQTT (MQ Telemetry Transport) interfaces. The work results in creation of working prototype that uses 3D engine Unity and ARCore library to create an interactive augmented reality environment.


Modeling and Simulation of Suspension for Electric Vehicle: Comfort vs. Road Holding Trade-offs
Zuzana Záňová, Vladimír Kutiš, and Oto Haffner
IEEE
The paper deals with the modeling of the vehicle suspension, which consists of dampers, springs, and tires. The paper focuses on the dynamic analysis of vertical vibration of the suspension, which is described by a mathematical quarter car model. The suspension model is excited by stochastic road profiles. Spectral responses are obtained from the quarter car suspension model through the solution of differential equations. The objective of this paper is to evaluate conventional passive suspension in terms of ride comfort, which affects the passengers in the vehicle, and also in terms of road holding, which impacts safety. The article presents the relationship between comfort and road holding of the vehicle. This relationship assesses suspension from both perspectives and shows that increasing comfort and road holding simultaneously are conflicting objectives.


Exspiro-Mobile Application for Food Sustainability
Martin Pajpach, Ľubos Sekerák, Erik Kučera, Oto Haffner, Rudolf Pribiš, Lukáš Beňo, and Dominik Janecký
IEEE
Food waste has been a major challenge in recent decades, with up to 1.3 trillion tonnes of food waste produced annually. With the advent of modern technologies and apps such as Exspiro, which make it easier to manage food in the home, there is an opportunity to reduce this unnecessary food waste. The app offers, among other things, several functionalities that are designed to lead to sustainability - notifying the user of the impending consumption of food, recipes with such food, and also a statistical module that informs the user what food is wasted the most in the household.


Application for Interfacing 3D Engine Unity with Robot Operating System
Dominik Janecký, Erik Kučera, Oto Haffner, Juraj Kišš, and Martin Pajpach
IEEE
This work focuses on the research, design and development of an application that enables collaboration with a software framework for robots. Foxy Fitzroy's Robot Operating System 2 was used as the robot software framework and Gazebo - Classic was used to simulate the robot. In the introduction of the paper we will discuss the problem analysis, history and applications. Later in this work we will analyze the hardware that is already in use, analyze the solutions that are now on the market, and then the actual design and implementation of the solution. The result of our work is a fully functional application that can be used to demonstrate the three interface options that work with ROS 2.


Design of an Educational-development Platform for Digital Twins using the Interoperability of the OPC UA Standard and Industry 4.0 Components
Martin Pajpach, Rudolf Pribiš, Peter Drahoš, Erik Kučera, and Oto Haffner
IEEE
The development of Industry 4.0, especially in the areas of interoperability and the design, implementation and use of digital twins, has been enormous in recent years. This article discusses three key aspects that Industry 4.0 brings with it - virtualization through digital twins (DTs), interoperability based on the OPC UA standard, and the use of Industry 4.0's Administration Asset Shell (AAS) components. For the purpose of development and education, a design of an education and development platform has been developed, in which these key attributes of Industry 4.0 are conveniently combined into a single entity.


Educational Case Studies for Pilot Engineer 4.0 Programme: Monitoring and Control of Discrete-Event Systems Using OPC UA and Cloud Applications
Erik Kučera, Oto Haffner, Peter Drahoš, and Ján Cigánek
MDPI AG
The current trend in industry is the digitalisation of production processes using modern information and communication technologies, a trend that falls under the fourth industrial revolution, Industry 4.0. Applications that link the world of information technologies (IT) and operational technologies (OT) are in particular demand. On the basis of information from practice, it can be stated that there is a shortage of specialists in the labour market for the interconnection of PLCs with information and communication technologies (cloud, web, mobile applications, etc.) in Slovakia and neighbouring countries. However, this problem is beginning to affect other countries in Europe as well. The main objective of the work was to prepare case studies suitable for educational purposes, which would address the modelling and control of a virtual discrete-event system using a PLC program and its subsequent interfacing to a cloud application. Within the scope of the work, three case studies were prepared to demonstrate the control of discrete-event system using different programming systems and their communication with the developed cloud applications. These applications are to be used for data monitoring and emergency intervention of the discrete-event system. The characteristics of the prepared case studies, which combine operational and informational technologies, predestines them for use in the sphere of education of engineers for digitalisation of production processes. They can also be helpful in research on the creation of digital twins, which represent a type of symmetry between real and virtual systems.


Low-Cost Method for 3D Body Measurement Based on Photogrammetry Using Smartphone
Erich Stark, Oto Haffner, and Erik Kučera
MDPI AG
This paper is focused on the possibilities of data collection via photogrammetry methods, using smartphone cameras and post-processing. The aim of this paper is to refer to progressive technologies that are part of smartphone devices, which bring more performance and variability of usage year by year. The theoretical part starts with looking to the past, describing problems of measurements and solutions invented by famous mathematicians, which we use nowadays. The following section deals with the background of measuring the human body and photogrammetry. The next section is about measuring and using calibration methods. The results section presents the architecture design of the system and a visual representation of how the application works. The result of processing a 3D person is a data object with measurements in real world metric units with minimum deviation. The conclusion is that we created our own low-cost method for 3D body measurement which partially or completely removes the shortcomings that were identified during the review of similar solutions. Our method is based on the use of open-source libraries, the use of a single smartphone mobile device and the creation of a true 3D human body model.


Modeling and Control of Discrete Event and Hybrid Systems Using Petri Nets and OPC Unified Architecture
Erik Kucera, Oto Haffner, Peter Drahos, and Alena Kozakova
Institute of Electrical and Electronics Engineers (IEEE)
Discrete event system is a type of system, which changes its state based on asynchronously occuring events. One of many approaches of describing this category of systems is a mathematical formalism called the Petri Net. This article introduces an original software solution, leveraging the graphical representation of this formalism in conjunction with the communication standard OPC Unified Architecture. This combination enables the user to model and control discrete event and hybrid systems using an intuitive, user-friendly graphical interface. The software application also brings new possibilities into scope of this academic domain due to the implementation of a Petri Net formalism extension - continuous elements, which greatly expands the area of systems, which can be modelled and controlled using this tool. The developed software tool was successfully verified in control of a virtual systems. Offering a graphical environment for the design of discrete event / hybrid system control algorithms, it can be used for education, research and practice in cyber-physical systems (Industry 4.0).


Trends in Industrial Networks including APL, TSN, WiFi-6E and 5G Technologies
Peter Drahos, Erik Kucera, Oto Haffner, Rudolf Pribis, and Lukas Beno
IEEE
The article presents a short review in the field of industrial communications and networks, which are key to the digital transformation and the rise of Industry 4.0. It captures the latest developments in communication technologies in three application domains: process automation, factory automation and wireless technologies in industry.


Visual Systems for the Experimental Platform of Autonomous EV
Oto Haffner, Peter Drahos, Fredrik Valocky, and Erik Kucera
IEEE
The aim of this paper is to communicate the partial results of project: Development of an autonomous vehicle using open electric car platform. It presents the requirements for a visual system for an experimental platform of an autonomous electric vehicle. The visual system can be divided into 2 main functions: safety and localization. The article describes the technical specifications for both systems and the experimental results of the systems.


Delivery Team Management on Small Software Development Projects in Practice
Ondrej Kolimar, Kamil Kusnirak, Erik Kucera, and Oto Haffner
IEEE
Purpose of this paper is to evaluate methods used in management of delivery team in 9 years of practice of a small size software company in Slovakia. First it focuses on summarizing difficulties that arise in this setup and traditional well-known approach on how to overcome it using waterfall or agile methodology approach. Main goal is to emphasize differences between theory and real-world scenarios where no existing methodology fits the criteria for small software project management. Key metrics this paper will focus on is delivery team performance on projects and satisfaction with work on projects. Performance is evaluated based on the historical project data from the company while satisfaction data are derived from the regular employee questionnaire.


Application for Python Programming Language Education Developed by Unity Engine
Michal Hlavaty, Alena Kozakova, and Oto Haffner
IEEE
Programming is not easy to learn or teach because different students need different explanations to understand such a complex concept. Traditional teaching methods and learning approaches are no longer appropriate for many kids. According to studies, such approaches impair students’ motivation and interest in studying programming. According to research, games can help learn Python programming. The aim of this paper is to present our educational game that we developed in the Unity 3D game engine. The game focuses on pure basics of programming in Python language. Before and after completing the game the player has to fill out a survey that helped us analyze the project.

RECENT SCHOLAR PUBLICATIONS

The Use of Mixed Reality for Exposure Therapy to Improve Phobia Handling
D Janeck, E Kučera, O Haffner, Z Košutzk, P Martiš
International Journal of Cognitive Behavioral Therapy, 1-40 2025



Proposal for Implementation of Software-Generated 3D Identifiers in Logistics
K Kušnirk, O Kolimr, E Kučera, O Haffner
2025 Cybernetics & Informatics (K&I), 1-6 2025



The Synergy of Man and Machine: the New Human-Centric Dimension of Digital Twin
M Balla, O Haffner, E Kučera, M Pajpach
2025 Cybernetics & Informatics (K&I), 1-6 2025



What If LLM Doesn’t Know
R Tvarožek, O Haffner
2025 Cybernetics & Informatics (K&I), 1-6 2025



Asset Administration Shell–Key-enabling technology of interoperability in Industry 4.0
M Pajpach, M Šlauka, R Pribiš, P Drahoš, E Kučera, O Haffner
2025 Cybernetics & Informatics (K&I), 1-6 2025



Development of an Interactive VR Application Using Unity: Its Impact on Learning and Performance
D Janeck, E Kučera, O Haffner, L Hrickov
2025 Cybernetics & Informatics (K&I), 1-6 2025



Evaluation of Motion-Capture Suit Data and Gesture Recognition Using LSTM and GRU Neural Networks
E Kučera, O Haffner, M Shevska, D Janeck
2025 Cybernetics & Informatics (K&I), 1-6 2025



Low-Cost Automated 3D Reconstruction Using Photogrammetry and Collaborative Robot
M Michalovič, O Haffner, E Kučera
2025 Cybernetics & Informatics (K&I), 1-6 2025



Mystery of the Pixel: Educational Game on Basic of Computer Vision
O Haffner, E Farkašov, M Balla, E Kučera
2025 Cybernetics & Informatics (K&I), 1-6 2025



Proposal for Petri Nets Utilisation in the Control of Mechatronic Systems with OPC UA Support
O Kolimr, K Kušnirk, EE Kučera, O Haffner
2025 Cybernetics & Informatics (K&I), 1-6 2025



Engaging Students in STEM: A Practical Approach with a Custom GUI Application for XY Plotter
Ľ Galandk, E Kučera, O Haffner
2024 International Conference on Computational Intelligence and Network 2024



ARValidat-Application for Checking the Status of CAD Assemblies in AR
M Pajpach, E Kučera, O Haffner, L Beňo, D Janeck, D Vojtko
2024 International Conference on Computational Intelligence and Network 2024



Augmentation of Handwritten Slovak Diacritical Letters Using GAN Networks
O Haffner, D Potapov, E Kučera, L Beňo, M Pajpach, D Janeck
2024 International Conference on Computational Intelligence and Network 2024



Transforming IoT with Scalable Serverless Architecture for Enhanced Data Collection
L Beňo, E Kučera, O Haffner, M Mečr, M Pajpach, D Janecky
2024 International Conference on Computational Intelligence and Network 2024



Using Mixed Reality for Control and Monitoring of Robot Model Based on Robot Operating System 2.
D Janeck, E Kučera, O Haffner, E Vchlopeňov, D Rosinov
Electronics (2079-9292) 13 (17) 2024



Applications of machine learning and computer vision in industry 4.0
O Haffner, E Kučera, D Rosinov
Applied Sciences 14 (6), 2431 2024



Enlightening university students about containerization through an interactive webpage
L Beňo, R Pribiš, E Kučera, O Haffner, M Pajpach, J Baranovič
2023 international conference on modeling, simulation & intelligent 2023



Monitoring and Control of Discrete-Event System Using Augmented Reality and Open-Source PLC
E Kučera, O Haffner, L Beňo, R Pribiš, M Pajpach, D Janeck
2023 International Conference on Modeling, Simulation & Intelligent 2023



Exspiro-Mobile Application for Food Sustainability
M Pajpach, Ľ Sekerk, E Kučera, O Haffner, R Pribiš, L Beňo, D Janeck
2023 International Conference on Modeling, Simulation & Intelligent 2023



Gesture Recognition System Based on Motion Capture Suit and LSTM Neural Network
O Haffner, E Kučera, L Beňo, R Pribiš, M Pajpach, D Janeck
2023 International Conference on Modeling, Simulation & Intelligent 2023

MOST CITED SCHOLAR PUBLICATIONS

Trends in industrial communication and OPC UA
P Drahoš, E Kučera, O Haffner, I Klimo
2018 cybernetics & informatics (K&I), 1-5 2018
Citations: 114



Interactive and virtual/mixed reality applications for mechatronics education developed in unity engine
E Kucera, O Haffner, R Leskovsk
2018 Cybernetics & Informatics (K&I), 1-5 2018
Citations: 37



Using augmented reality and internet of things for control and monitoring of mechatronic devices
E Stark, E Kučera, O Haffner, P Drahoš, R Leskovsk
Electronics 9 (8), 1272 2020
Citations: 36



Educational case studies: Creating a digital twin of the production line in TIA portal, unity, and game4automation framework
M Balla, O Haffner, E Kučera, J Cignek
Sensors 23 (10), 4977 2023
Citations: 33



Proposal of digital twin platform based on 3d rendering and iiot principles using virtual/augmented reality
R Leskovsk, E Kučera, O Haffner, D Rosinov
2020 Cybernetics & Informatics (K&I), 1-8 2020
Citations: 29



Low-cost method for 3D body measurement based on photogrammetry using smartphone
E Stark, O Haffner, E Kučera
Electronics 11 (7), 1048 2022
Citations: 25



Low-cost education kit for teaching basic skills for industry 4.0 using deep-learning in quality control tasks
M Pajpach, O Haffner, E Kučera, P Drahoš
Electronics 11 (2), 230 2022
Citations: 20



Control and monitoring of IoT devices using mixed reality developed by unity engine
S Bucsai, E Kučera, O Haffner, P Drahoš
2020 Cybernetics & Informatics (K&I), 1-8 2020
Citations: 19



New software tool for modeling and control of discrete-event and hybrid systems using timed interpreted petri nets
E Kučera, O Haffner, P Drahoš, J Cignek, R Leskovsk, J Štefanovič
Applied Sciences 10 (15), 5027 2020
Citations: 15



Lemna minor Bioassay Evaluation Using Computer Image Analysis
O Haffner, E Kučera, P Drahoš, J Cignek, A Kozkov, B Urminsk
Water 12 (8), 2207 2020
Citations: 14



Connection between 3D engine unity and microcontroller arduino: A virtual smart house
E Kučera, O Haffner, Š Kozk
2018 Cybernetics & Informatics (K&I), 1-8 2018
Citations: 13



Measure distance between camera and object using camera sensor
F Valock, P Drahoš, O Haffner
2020 Cybernetics & Informatics (K&I), 1-4 2020
Citations: 12



A contribution to workplace ergonomics evaluation using multimedia tools and virtual reality
R Leskovsk, E Kučera, O Haffner, J Matišk, D Rosinov, E Stark
2019 Federated Conference on Computer Science and Information Systems 2019
Citations: 12



Proposal of system for automatic weld evaluation
O Haffner, E Kučera, Š Kozk, E Stark
2017 21st International Conference on Process Control (PC), 440-445 2017
Citations: 12



Making a map for mobile robot using laser rangefinder
O Haffner, F Duchoň
2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region 2014
Citations: 11



PetriNet editor+ PetriNet engine: new software tool for modelling and control of discrete event systems using Petri nets and code generation
E Kučera, O Haffner, P Drahoš, R Leskovsk, J Cignek
Applied Sciences 10 (21), 7662 2020
Citations: 10



Using entropy for welds segmentation and evaluation
O Haffner, E Kučera, P Drahoš, J Cignek
Entropy 21 (12), 1168 2019
Citations: 10



Emerging technologies for Industry 4.0: OPC unified architecture and virtual/mixed reality
E Kučera, O Haffner, P Drahoš, Š Kozk
Plenk T, Štefanič J. AIFICT, 57-62 2018
Citations: 10



PetriNet Editor+ PetriNet Engine: New Software Tool For Modelling and Control of Discrete Event Systems Using Petri Nets and Code Generation
E Kucera, O Haffner, P Drahoš, R Leskovsk, J Cignek
Appl. Sci 10, 7662 2020
Citations: 9



Applications of machine learning and computer vision in industry 4.0
O Haffner, E Kučera, D Rosinov
Applied Sciences 14 (6), 2431 2024
Citations: 8

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Utility models registered:
PUV 148-2021: Method of controlling the vehicle's steering posture and wiring
PUV 156-2020: Handler safety system
PUV 200-2019: Method of monitoring and controlling mechatronic systems using augmented reality and technology assembly
PUV 153-2019 Method for correcting the centre of gravity of a car and wiring
PUV 86-2018: Vehicle remote control method and system
PUV 145-2017: System for visual assessment of Lemna minor growth inhibition in ecotoxicity tests
PUV 129-2017: System for remote automatic quality control of draft beer
PUV 105-2017: System for automatic visual inspection of welds
PUV 68-2017: System integration for control of hybrid systems via microcontrollers with nested logic petri nets
PUV 67-2017: Wiring of system for control of hybrid systems via microcontroller and computer with nested logic Petri nets
PUV 5023-2015: System to protect the driver's vision from being blinded by oncoming vehicles
PUV 5050-2013: Process for creating a wood imitation surface

Patents pending:
P 99-2022: Method for localisation of an autonomous vehicle and integration of a visual system for localisation of an autonomous vehicle
PP 158-2019: Method for monitoring and operating mechatronic systems using augmented reality and technology assembly

Utility models pending:
PUV 127-2022: Method for localisation