Implementace strojového vidění ve výrobním systému UVSSR PORTABLE CELL

Loading...
Thumbnail Image
Date
Authors
Gómez Rojas, José Luis
ORCID
Mark
C
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně. Fakulta strojního inženýrství
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.
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.
Description
Citation
GÓMEZ ROJAS, J. Implementace strojového vidění ve výrobním systému UVSSR PORTABLE CELL [online]. Brno: Vysoké učení technické v Brně. Fakulta strojního inženýrství. 2024.
Document type
Document version
Date of access to the full text
Language of document
en
Study field
bez specializace
Comittee
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)
Date of acceptance
2024-06-20
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.
Result of defence
práce byla úspěšně obhájena
Document licence
Standardní licenční smlouva - přístup k plnému textu bez omezení
DOI
Collections
Citace PRO