Abstract
Disturbance / vibration reduction is critical in many applications using machine vision. The off-focusing or blurring error caused by vibration degrades its performance. Instead of going with the more familiar approach like vibration absorber, a real-time disturbance estimation and avoidance is proposed.
Instantaneous motion due to the disturbance is sensed by an accelerometer inertial measurement unit (IMU). Modeling of periodic vibration is done to provide better performance. According to its modeling, the algorithm for vibration avoidance was described.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Holland, J.H.: Adaptation in Natural and Artificial Systems. Univ. Michigan Press, Ann Arbor (1975)
Seo, K., Shin, J., Kim, W., Lee, J.: Real-Time Object Tracking and Segmentation Using Adaptive Color Snake Model. International Journal of Control, Automation, and Systems 4(2), 236–246 (2006)
Seo, K., Lee, J.: Object Tracking and Recognition Based on CPCA. In: Proc. 2005 CACS, CDROM (2005)
Seo, K.: Unified Framework for Object Tracking and Recognition Based on Condensation Principal Component Analysis in a Structured Environment. Ph. D. Thesis, Dept. EECS, KAIST (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Seo, KH., Park, Y., Yun, S., Park, S., Park, J.W. (2014). Vibration Occurrence Estimation and Avoidance for Vision Inspection System. In: Kim, JH., Matson, E., Myung, H., Xu, P., Karray, F. (eds) Robot Intelligence Technology and Applications 2. Advances in Intelligent Systems and Computing, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-319-05582-4_54
Download citation
DOI: https://doi.org/10.1007/978-3-319-05582-4_54
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05581-7
Online ISBN: 978-3-319-05582-4
eBook Packages: EngineeringEngineering (R0)