Implementace strojového vidění ve výrobním systému UVSSR PORTABLE CELL
| but.committee | doc. Ing. Radek Knoflíček, Dr. (předseda) Ing. Jiří Kovář, Ph.D. (člen) Ing. Ondřej Andrš, Ph.D. (člen) Ing. Karla Maradová (člen) Ing. Jakub Bražina (člen) doc. Ing. Pavel Charvát, Ph.D. (místopředseda) | cs |
| but.defence | Student introduced his diploma thesis regarding machine vision implementation in the UVSSR PORTABLE CELL production system to members of committee. Student answered reviewer' questions. Committees’ questions: What was your motivation to use facial recognition for authorization of person? What is the real application for your solution? Did you try to rotate your hand during testing of gestures? How would you deal with lost signals during face recognition? What would happen if docker container is down? Supervisor clarified real usage of developed solution. He mentioned that thesis doesn’t aim to industry usage. Instead of that solution should be use for presentation of technologies on various use cases. Committee were partially satisfied by students’ questions. | cs |
| but.jazyk | angličtina (English) | |
| but.program | Mechanical Engineering | cs |
| but.result | práce byla úspěšně obhájena | cs |
| dc.contributor.advisor | Bražina, Jakub | en |
| dc.contributor.author | Gómez Rojas, José Luis | en |
| dc.contributor.referee | Kroupa, Jiří | en |
| dc.date.created | 2024 | cs |
| dc.description.abstract | This thesis investigates the integration of computer vision into Industry 4.0, utilizing the UVSSR CELL at Brno University of Technology. Focused on enhancing virtual commissioning, it introduces three innovative vision techniques linked via an OPC server to an IoT gateway. Object recognition, hand gesture control, and facial recognition are employed, improving robotic arm operations and security protocols. This integration resulted in high accuracy trained model for object detection with mAP50-90 close to 0.9, and control precision of the technologies and the virtual environment, contributing significantly to smart industry automation and setting a call for future work on top of it. The thesis covers methodology, technological implementation, and prospects for advanced, efficient machine vision systems within industry 4.0. | en |
| dc.description.abstract | This thesis investigates the integration of computer vision into Industry 4.0, utilizing the UVSSR CELL at Brno University of Technology. Focused on enhancing virtual commissioning, it introduces three innovative vision techniques linked via an OPC server to an IoT gateway. Object recognition, hand gesture control, and facial recognition are employed, improving robotic arm operations and security protocols. This integration resulted in high accuracy trained model for object detection with mAP50-90 close to 0.9, and control precision of the technologies and the virtual environment, contributing significantly to smart industry automation and setting a call for future work on top of it. The thesis covers methodology, technological implementation, and prospects for advanced, efficient machine vision systems within industry 4.0. | cs |
| dc.description.mark | C | cs |
| dc.identifier.citation | GÓMEZ ROJAS, J. Implementace strojového vidění ve výrobním systému UVSSR PORTABLE CELL [online]. Brno: Vysoké učení technické v Brně. Fakulta strojního inženýrství. 2024. | cs |
| dc.identifier.other | 157468 | cs |
| dc.identifier.uri | http://hdl.handle.net/11012/249057 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně. Fakulta strojního inženýrství | cs |
| dc.rights | Standardní licenční smlouva - přístup k plnému textu bez omezení | cs |
| dc.subject | Industry 4.0 | en |
| dc.subject | Computer Vision | en |
| dc.subject | Virtual Commissioning | en |
| dc.subject | Cyber-Physical Systems | en |
| dc.subject | Object Detection | en |
| dc.subject | Face recognition | en |
| dc.subject | Hand gesture recognition | en |
| dc.subject | Smart Industry | en |
| dc.subject | Industry 4.0 | cs |
| dc.subject | Computer Vision | cs |
| dc.subject | Virtual Commissioning | cs |
| dc.subject | Cyber-Physical Systems | cs |
| dc.subject | Object Detection | cs |
| dc.subject | Face recognition | cs |
| dc.subject | Hand gesture recognition | cs |
| dc.subject | Smart Industry | cs |
| dc.title | Implementace strojového vidění ve výrobním systému UVSSR PORTABLE CELL | en |
| dc.title.alternative | Machine vision implementation in the UVSSR PORTABLE CELL production system | cs |
| dc.type | Text | cs |
| dc.type.driver | masterThesis | en |
| dc.type.evskp | diplomová práce | cs |
| dcterms.dateAccepted | 2024-06-20 | cs |
| dcterms.modified | 2024-06-20-13:50:38 | cs |
| eprints.affiliatedInstitution.faculty | Fakulta strojního inženýrství | cs |
| sync.item.dbid | 157468 | en |
| sync.item.dbtype | ZP | en |
| sync.item.insts | 2025.03.27 10:46:23 | en |
| sync.item.modts | 2025.01.15 12:26:19 | en |
| thesis.discipline | bez specializace | cs |
| thesis.grantor | Vysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav výrobních strojů, systémů a robotiky | cs |
| thesis.level | Inženýrský | cs |
| thesis.name | Ing. | cs |