Application of camera controlled laser projection systems for manual mounting tasks
Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
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Dritte Transdisziplinäre Konferenz "Technische Unterstützungssysteme, die die Menschen wirklich wollen". ed. / Robert Weidner; Athanasios Karafillidis. Hamburg: Helmut-Schmidt-Universität, 2018. p. 67-76.
Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Application of camera controlled laser projection systems for manual mounting tasks
AU - Taubert, Jan
AU - Rehe, Michael
AU - Müller-Polyzou, Ralf
PY - 2018
Y1 - 2018
N2 - This article presents an approach of an assistance system for manual mounting tasks. For this, the three main requirements usability, flexibility and reliability are identified. A mounting assistance system is implemented in a test scenario, with consideration to the previously established requirements. It consists of an industrial laser guidance system that is controlled by a software using machine learning based image recognition. The software determines the status of the actual mounting progress and the location of product components. It controls the laser projection system, thus eliminating the need for any user interaction. Additional instructions are projected onto the work surface to increase the system usability. The results of a structural user test evaluating the mounting efficiency, effectiveness and perceived usability are presented. Finally, the article gives an outlook to further developments.
AB - This article presents an approach of an assistance system for manual mounting tasks. For this, the three main requirements usability, flexibility and reliability are identified. A mounting assistance system is implemented in a test scenario, with consideration to the previously established requirements. It consists of an industrial laser guidance system that is controlled by a software using machine learning based image recognition. The software determines the status of the actual mounting progress and the location of product components. It controls the laser projection system, thus eliminating the need for any user interaction. Additional instructions are projected onto the work surface to increase the system usability. The results of a structural user test evaluating the mounting efficiency, effectiveness and perceived usability are presented. Finally, the article gives an outlook to further developments.
KW - Engineering
M3 - Published abstract in conference proceedings
SN - 978-3-86818-245-3
SN - 978-3-86818-246-0
SP - 67
EP - 76
BT - Dritte Transdisziplinäre Konferenz "Technische Unterstützungssysteme, die die Menschen wirklich wollen"
A2 - Weidner, Robert
A2 - Karafillidis, Athanasios
PB - Helmut-Schmidt-Universität
CY - Hamburg
T2 - 3. transdisziplinäre Konferenz „Technische Unterstützungssysteme, die die Menschen wirklich wollen“ - TCST 2018
Y2 - 11 December 2018 through 12 December 2018
ER -