The collaboration of robots with workers in production is one of the most discussed topics within the framework of the Industry 4.0 concept. Collaborative production cells have increased flexibility and adaptability to production conditions because of combining the advantages of a human and a robot and expand the list of tasks that can be automated. However, the widespread adoption of collaborative robots in manufacturing is hampered by open questions about the safety of workers and ease of use. Machine vision systems allow collaborative robots to work more closely with the environment and endow them with basic cognitive functions. That is why this article is devoted to analyzing the use of machine vision systems in modern collaborative assembly cells. The authors analyzed scientific works in machine vision systems, described practical examples of their application, and catalogs of popular manufacturers to evaluate current propositions in machine vision systems. As a result, the main areas of application of machine vision systems were formed, their classification was presented, and recommendations for choosing an optimal machine vision system were proposed. In addition, the obtained recommendations were used in the practical case when analyzing the equipment of the collaborative assembly line of the SmartTechLab laboratory of the Faculty of Manufacturing Technologies of the Technical University in Kosice.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Machine Vision Systems for Collaborative Assembly Applications


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Ivanov, Vitalii (Herausgeber:in) / Trojanowska, Justyna (Herausgeber:in) / Pavlenko, Ivan (Herausgeber:in) / Rauch, Erwin (Herausgeber:in) / Piteľ, Ján (Herausgeber:in) / Andrusyshyn, Vladyslav (Autor:in) / Ivanov, Vitalii (Autor:in) / Pitel’, Ján (Autor:in) / Židek, Kamil (Autor:in) / Lazorik, Peter (Autor:in)

    Kongress:

    Design, Simulation, Manufacturing: The Innovation Exchange ; 2023 ; High Tatras, Slovakia June 06, 2023 - June 09, 2023



    Erscheinungsdatum :

    23.05.2023


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Collaborative Robotic Fastening Using Stereo Machine Vision

    Haldimann, Ryan | British Library Conference Proceedings | 2019


    Collaborative vision

    Online Contents | 1998


    Stereoscopic Vision Systems in Machine Vision, Models, and Applications

    Ramírez-Hernández, Luis Roberto / Rodríguez-Quiñonez, Julio Cesar / Castro-Toscano, Moisés J. et al. | Springer Verlag | 2019


    LabVIEW Machine Vision Applications

    Kwon, Kye‐Si ;Ready, Steven | Wiley | 2014