Affiliation:
1. St. John's University
2. National Taiwan University Science and Technology
3. National Taiwan Normal University
Abstract
In this paper, we propose a multi-sensor based incline measuring system. The systems include: g-sensor, e-compass sensor, and image-based incline measuring system install in a same structure, the solar cell system and wireless transmission system (zig-bee) also install in the same structure. The g-sensor and image-based incline measuring system use to measure the incline angle and the micro-vibration, and the e-compass sensor to measure the angle of rotation. The image-based incline measuring system include: a laser projector, a measuring board and a camera, and the system use the characteristic of laser, and the laser projector hanging on structure project a laser beam on the measuring board vertically. The camera captures an image to identify the coordinate of laser spot, and use the coordinate of laser spot to calculate the actual incline angle. The results of incline angle combine two different sensors to increase the accuracy of measurement result.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. Y.C. Lo, The Study of Slope Monitoring System, Master thesis, St. John's University, Taiwan, (2012).
2. T.Y. Tang, Machine Vision and FPGA Based Landslides Monitoring System, Master thesis, St. John's University, Taiwan, (2011).
3. K.C. Liu , C.H. Chou, Perceptual Contrast Estimation for Color Edge Detection, in Proc. 14th International Workshop on Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services, pp.86-89, June (2007).
4. Tan, Y. -P, Kulkarni S. -R, and Ramadge P. -J, A New Method for Camera Motion Paramater Estimeation, IEEE . International Conference on Image Processing, vol. 1, pp.406-409, (1995).
5. H. Yan, Image analysis for digital media applications, IEEE Comput. Graph. Appl., Vol. 21, No. 1, pp.18-26, Jan. (2001).