Original title: Implementace strojového vidění ve výrobním systému UVSSR PORTABLE CELL
Translated title: Machine vision implementation in the UVSSR PORTABLE CELL production system
Authors: Gómez Rojas, José Luis ; Kroupa, Jiří (referee) ; Bražina, Jakub (advisor)
Document type: Master’s theses
Year: 2024
Language: eng
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.
Keywords: Computer Vision; Cyber-Physical Systems; Face recognition; Hand gesture recognition; Industry 4.0; Object Detection; Smart Industry; Virtual Commissioning; Computer Vision; Cyber-Physical Systems; Face recognition; Hand gesture recognition; Industry 4.0; Object Detection; Smart Industry; Virtual Commissioning

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/249057

Permalink: http://www.nusl.cz/ntk/nusl-619008


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses