Controlling and Assisting Manual Assembly Processes by Automated Progress and Gesture Recognition

Article Preview

Abstract:

The digital progress monitoring of manual assembly processes at goods with huge dimensions is a challenging task. The paper presents an approach using 3D-image sensors for gesture control and progress recognition. The developed system is able to avoid time and effort consuming walks of workers between assembly objects and computer terminals. Progress recognition of assembly processes is realized by interpreting the movements of the workers’ hands and by detecting the passing of defined coordinates within the assembly and warehouse areas.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

50-57

Citation:

Online since:

June 2016

Export:

Price:

* - Corresponding Author

[1] K. Tracht, L. Funke, M. Schottmayer, Online-control of assembly processes in paced production lines, CIRP Annals – Manufacturing Technology. 64 (2015) 395-398.

DOI: 10.1016/j.cirp.2015.04.112

Google Scholar

[2] P. Menezes, F. Lerasle, J. Dias, Towards human motion capture from a camera mounted on a mobile robot, Image and Vision Computing. 29 (2001) 382-393.

DOI: 10.1016/j.imavis.2011.01.003

Google Scholar

[3] T. Dutta, Evaluation of the Kinect™ sensor for 3-D kinematic measurement in the workplace, Applied Ergonomics. 43 (2012) 645-649.

DOI: 10.1016/j.apergo.2011.09.011

Google Scholar

[4] L. Zhang, G. Brunnett, S. Rusdorf, Real-time human motion capture with simple marker sets and monocular video, J. Virtual Reality and Broadcasting. 8 (2011) 1.

Google Scholar

[5] R. Urtasun, D.J. Fleet, P. Fua, Temporal motion models for monocular and multiview 3D human body tracking, Computer Vision and Image Understanding. 104 (2006) 157-177.

DOI: 10.1016/j.cviu.2006.08.006

Google Scholar

[6] D. Regazzoni, G. de Vecchi, C. Rizzi, RGB cams vs RGB-D sensors: Low cost motion capture technologies performances and limitations, J. of Manuf. Sys. 33 (2014) 719-728.

DOI: 10.1016/j.jmsy.2014.07.011

Google Scholar

[7] S. Kaczmarek, S. Hogreve, K. Tracht, Progress monitoring and gesture control in manual assembly systems using 3D-image sensors, Procedia CIRP. 37 (2015) 1-6.

DOI: 10.1016/j.procir.2015.08.006

Google Scholar

[8] J. Krüger, T.D. Nguyen, Automated vision-based live ergonomics analysis in assembly operations, CIRP Annals – Manufacturing Technology. 64 (2015) 9-12.

DOI: 10.1016/j.cirp.2015.04.046

Google Scholar