Politechnika Rzeszowska im. Ignacego Łukasiewicza
Doctor of Philosophy - PhD, Mechanical Engineering
2022 - 2026
Warsaw University of Technology
Master of Science (M.Sc.), Mechatronics, Robotics, and Automation Engineering
2004 - 2010
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering
17
Scopus Publications
154
Scholar Citations
6
Scholar h-index
3
Scholar i10-index
Scopus Publications
Predictive Modeling of Packaging Seal Strength: A Hybrid Vision and Process Data Approach for Non-Destructive Quality Assurance Piotr Garbacz, Andrzej Burghardt, Piotr Czajka, Jordan Mężyk, Wojciech Mizak Applied Sciences Switzerland, 2026 A method for quality inspection of food packaging based on hybrid imaging and machine-learning techniques is presented. The proposed inspection system integrates thermal and visible-light imaging, enabling detection and classification of faults such as weak seals, creases and contamination. For the purpose of the study data acquisition is automated with the use of an industrial manipulator, ensuring repeatability and consistent positioning of samples. Using the acquired images, the temperature distribution in the sealing area and selected process parameters, a predictive model for burst-pressure testing was developed. The proposed workflow includes attribute selection, hyperparameter optimization and the application of regression algorithms. The proof-of-concept results demonstrate a strong alignment between predicted and measured values, as well as high model stability. The best-performing model, ElasticNet, achieved an R2 of 0.815 and an MAE of 0.028 kgf/cm2, confirming its potential for non-destructive quality control of packaging.
Monitoring the FSW processes using a multispectral vision method Jordan Mężyk, Piotr Garbacz Solid State Phenomena, 2015 The FSW method is a modern and still not very common method for joining materials by mixing them after plasticising with a special tool. The rotary motion of the tool and its pressure against the welded surface causes friction and, as an effect, local heating of the material that then causes plasticisation. Then the tool moves linearly along the trajectory of welding, while the stem causes the mixing of materials and tool’s shoulder concentrates and presses the material in the produced weld. An important feature of the process is that the material does not pass to the liquid phase and remain in the solid phase. This method allows the combination of non-welding and difficult to weld materials, including combining different materials (dissimilar). The FSW method is a new method and there are no tools to assess the quality of the process, especially on-line, that is in the making of the weld. Currently, the research methods used include point temperature measurement and measurement of forces on the tool performed during welding, and metallographic methods that are destructive can be used after the weld. This article presents the authors’ method for monitoring the Friction Stir Welding (FSW) processes with use of a multi-spectral vision method. The monitoring method uses the system built of two visual channels that work in different light bands; hence, the name of the method ismulti-spectral.The main component of the system is an infrared camera that is used for the observation of the temperature distribution on the surface of the welded materials. The second visual channel uses the line-scan visual band camera for recording the image of the surface of the weld. Such observation allows the detection of weld defects and non-compliances, which include excessive burrs, discontinuities, uneven edge of the weld, as well as the subsurface faults such as cavities and sub-surface discontinuities. In addition, the temperature of the process is monitored to prevent under-and over-heating, which may result in a weak joint or cracks in the material. The presented method is applied for monitoring the FSW process and presents a worldwide novelty.
Application of optical inspection method for testing the correctness of ball bearings assembly Piotr Garbacz, Piotr Czajka Solid State Phenomena, 2015 The article presents the optical inspection method for the correct assembly of bearings with rolling elements in the form of balls. During the assembly process, faults can occur of incomplete fill of the rolling elements in a bearing cage or a lack of rivets for fixing both parts of the cage. These are critical defects, disqualifying the bearing from the operation. In order to detect these faults, the method of backlighting was used in the form of a modular LED panel illuminator located under the inspected bearing. The chosen method of lighting provides a high contrast and good sharpness with a simultaneous low sensitivity to contamination that may arise in the field of view of the camera. In order to verify the developed method, an experimental automated research stand was made. For vision inspection, a modular vision controller with a monochromatic CCD camera was used. Due to the range of bearings subjected to vision inspection, the algorithm of the program allows automatic detection of the bearing type based on its characteristics. The operation of the vision system was presented for each of the individual stages of the inspection process. The functions used in the field of computer-based image processing and analysis were described. Examples of bearing inspections, with use of the developed method, were presented.
Inspection of aluminium extrusion using infrared thermography 11th Imeko Tc14 Symposium on Laser Metrology for Precision Measurement and Inspection in Industry Lmpmi 2014, 2014
Inspection of aluminium extrusion using infrared thermography 11th Imeko Tc14 International Symposium on Measurement and Quality Control Ismqc 2013, 2013
RECENT SCHOLAR PUBLICATIONS
Predictive Modeling of Packaging Seal Strength: A Hybrid Vision and Process Data Approach for Non-Destructive Quality Assurance WM Piotr Garbacz, Andrzej Burghardt, Piotr Czajka, Jordan Mężyk Applied Sciences 16 (2), 923 , 2026 2026
A Target-Oriented Image Fusion Method for Quality Inspection of Heat-Sealed Packages P Garbacz International Conference on Computer Recognition Systems, 20-29 , 2025 2025 Citations: 1
Hyperspectral lighting design for industrial applications P Garbacz, P Czajka, W Mizak, M Powroźnik Conference on Automation, 357-365 , 2024 2024 Citations: 3
Hyperspectral imaging system for food safety inspection B Linowska, P Garbacz Conference on Automation, 204-211 , 2023 2023 Citations: 7
Image-Based Monitoring of Glass Melting P Garbacz, P Czajka Automation 2022: New Solutions and Technologies for Automation, Robotics and … , 2022 2022
Inspection of tableware glass products with use of structural backlight P Garbacz, M Mrozek Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2019 2019
Inspection of tableware glass products at the hot end of production line P Garbacz Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2019 2019 Citations: 2
Inspection of crane rails with use of monorail mobile platform P Czajka, P Garbacz, T Giesko, A Mazurkiewicz, J Mężyk, W Mizak Conference on Automation, 655-664 , 2018 2018 Citations: 3
Innovative optomechatronic technologies in the tobacco industry T Giesko, A Mazurkiewicz, P Garbacz, P Czajka, L Sikora, J Dobrowolski Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2018 2018 Citations: 1
The optomechatronic system for automatic quality inspection of machined workpieces P CzAJKA, P Garbacz, J Mężyk, T Giesko, A Mazurkiewicz Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2018 2018 Citations: 3
Vision system for inspection of glass furnace structure P Garbacz, T Giesko, P Czajka, A Mazurkiewicz International Conference Automation, 408-417 , 2017 2017 Citations: 4
Automatisation of multi-parametric quality inspection of rotary symmetrical metal elements P Czajka, T Samborski, P Garbacz, J Mężyk Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2017 2017 Citations: 3
The method for inspection of shaft seals using 2D laser triangulation P Czajka, P Garbacz Technologia i Automatyzacja Montażu (Assembly Techniques and Technologies … , 2016 2016
Multi-camera vision system for the inspection of metal shafts P Garbacz, T Giesko Challenges in Automation, Robotics and Measurement Techniques: Proceedings … , 2016 2016 Citations: 9
Vision techniques for the inspection of tableware glass products P Garbacz, P Czajka Problemy Eksploatacji , 2016 2016 Citations: 4
Metoda inspekcji uszczelniaczy wału z zastosowaniem triangulacji laserowej 2D P Czajka, P Garbacz Technologia i Automatyzacja Montażu , 2016 2016 Citations: 2
Terahertz imaging – principles, techniques, benefits, and limitations P Garbacz Problemy Eksploatacji - Maintenance Problems 100, 81-93 , 2016 2016 Citations: 37
Automation of residual stress measurement in tableware glass production P Garbacz, P Czajka, W Mizak Problemy Eksploatacji - Maintenance Problems 100, 29-41 , 2016 2016 Citations: 5
The use of 2D/3D sensors for robotic manipulation for quality inspection tasks B Burski, P Garbacz, J Mężyk, P Czajka, W Mizak Solid State Phenomena 237, 77-82 , 2015 2015 Citations: 2
Adaptive optical inspection system with use of reconfigurable manipulator J Mężyk, P Garbacz, W Mizak Progress in Automation, Robotics and Measuring Techniques: Volume 2 Robotics … , 2015 2015 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Terahertz imaging – principles, techniques, benefits, and limitations P Garbacz Problemy Eksploatacji - Maintenance Problems 100, 81-93 , 2016 2016 Citations: 37
Inspection method of aluminium extrusion process P Garbacz, T Giesko, A Mazurkiewicz Archives of Civil and Mechanical Engineering , 2015 2015 Citations: 23
Use of hybrid vision methods for the diagnostics of technical processes P Czajka, P Garbacz Problemy Eksploatacji, 73-85 , 2013 2013 Citations: 10
Multi-camera vision system for the inspection of metal shafts P Garbacz, T Giesko Challenges in Automation, Robotics and Measurement Techniques: Proceedings … , 2016 2016 Citations: 9
Hyperspectral imaging system for food safety inspection B Linowska, P Garbacz Conference on Automation, 204-211 , 2023 2023 Citations: 7
Application of hybrid vision method for the hot aluminium surface inspection T Giesko, P Garbacz Solid State Phenomena 199, 267-272 , 2013 2013 Citations: 6
Automation of residual stress measurement in tableware glass production P Garbacz, P Czajka, W Mizak Problemy Eksploatacji - Maintenance Problems 100, 29-41 , 2016 2016 Citations: 5
Concept of binocular stereo vision system for inspection of surfaces P Garbacz, T Giesko Problemy Eksploatacji, 193-205 , 2010 2010 Citations: 5
Vision system for inspection of glass furnace structure P Garbacz, T Giesko, P Czajka, A Mazurkiewicz International Conference Automation, 408-417 , 2017 2017 Citations: 4
Vision techniques for the inspection of tableware glass products P Garbacz, P Czajka Problemy Eksploatacji , 2016 2016 Citations: 4
The use of cloud computing in mobile robotics B Burski, P Garbacz Problemy Eksploatacji , 2014 2014 Citations: 4
Hyperspectral lighting design for industrial applications P Garbacz, P Czajka, W Mizak, M Powroźnik Conference on Automation, 357-365 , 2024 2024 Citations: 3
Inspection of crane rails with use of monorail mobile platform P Czajka, P Garbacz, T Giesko, A Mazurkiewicz, J Mężyk, W Mizak Conference on Automation, 655-664 , 2018 2018 Citations: 3
The optomechatronic system for automatic quality inspection of machined workpieces P CzAJKA, P Garbacz, J Mężyk, T Giesko, A Mazurkiewicz Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2018 2018 Citations: 3
Automatisation of multi-parametric quality inspection of rotary symmetrical metal elements P Czajka, T Samborski, P Garbacz, J Mężyk Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2017 2017 Citations: 3
INSPECTION OF ALUMINIUM EXTRUSION USING INFRARED THERMOGRAPHY P Garbacz, T Giesko IMEKO proceedings, http://www.imeko.org/publications/tc14-2 , 2013 2013 Citations: 3
A novel approach for automation of stereo camera calibration process P Garbacz, W Mizak Pomiary Automatyka Robotyka 17, 234-238 , 2013 2013 Citations: 3
Integrated vision systems versus custom solutions for quality inspection in industry P Garbacz Image 2, 14 , 2011 2011 Citations: 3
Inspection of tableware glass products at the hot end of production line P Garbacz Journal of Machine Construction and Maintenance-Problemy Eksploatacji , 2019 2019 Citations: 2
Metoda inspekcji uszczelniaczy wału z zastosowaniem triangulacji laserowej 2D P Czajka, P Garbacz Technologia i Automatyzacja Montażu , 2016 2016 Citations: 2