Abstract
Water level measurement in a river is a necessary step for flood prevention. Early recognition of this factor could reduce the vulnerability of the population in the surroundings. In this work, we use frames from videos as images to obtain water level measurement indirectly. We applied digital image processing techniques over these images to perform segmentation, edge detection, and we also applied multiple view geometry techniques as projective transformation in a plane. The proposed method estimates water level in specific locations where it is possible to install a reflective tape with a two-color pattern, used as an indicator of water level. We obtained the segmentation of the section out of the water of the reflective tape and so we get the estimation of water level. Through the relation of the real distances (in centimeters) that have four collinear points, seen from a perpendicular view, with the distances (in pixel unit) of those same points contained in an image, which has undergone a projective transformation. We made testing in a water tank built to this work and the tests produced a percentage error at the range of 0.01–2.06% to a distance of 1.5 m from a wall and 2 m high (location of camera).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jia, L., Xue, B., Chen, S., et al.: A high-resolution ultrasonic ranging system using laser sensing and a cross-correlation method. Appl. Sci. 9, 1483 (2019). https://doi.org/10.3390/app9071483
Kato, A., Sinde, R.S., Shubi, K.: Design of an automated river water level monitoring system by using global system for mobile communications. Int. J. Comput. Sci. Syst. Anal. 13
Zhang, Z., Liu, Z., Wang, H.: Visual measurement of water level under complex illumination conditions. Sensors 19(19), 4141 (2019). https://doi.org/10.3390/s19194141
Zhang, Zhen, Zhou, Yang, Liu, Haiyun, Gao, Hongmin: In-situ water level measurement using NIR-imaging video camera. Flow Measur. Instrum. 67, 95–106 (2019)
SONY (2011) Equipment camera model Sony NEX-7 SEL-1855. https://www.sony.es/electronics/support/e-mount-body-nex-7-series/nex-7/specifications. Accessed 1 July 2019
Yu, J., Hahn, H.: Remote detection and monitoring of a water level using narrow band channel. J. Inf. Sci. Eng. 26, 71–82 (2010)
Lin, Y.-T., Lin, Y.-C., Han, J.-Y.: Automatic water-level detection using single-camera images with varied poses. Measurement 127, 167–174 (2018). https://doi.org/10.1016/j.measurement.2018.05.100
Hasan, I.: An effective camera based water level recording technology for flood monitoring. In: INTERPRAEVENT Conference Proceedings, pp. 290–295 (2016)
Solomon, C., Breckon, T.: Fundamentals of Digital Image Processing a Practical approach with examples in Matlab. pp. 63–76 (2011)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn, pp. 44–46. Cambridge University Press, Cambridge (2003)
El comercio (2015). Chosica: no existen estudios de las quebradas de riesgo. https://elcomercio.pe/lima/chosica-existen-estudios-quebradas-riesgo-356568-noticia/?ref=ecr. Accessed Nov 2019
Acknowledgements
The primary support for this project was from INICTEL-UNI, which provided the necessary equipment to carry out this study. We would like especially to thank the team of Signal and Image Processing (G-PSI) of Research and Technological Development Department (DIDT) for their valuable suggestions during this process.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
López Huamán, L.E., Apolinario Lainez, M.P.E., Huamán Bustamante, S.G. (2021). Method of Estimating River Levels with Reflective Tapes Using Artificial Vision Techniques. In: Iano, Y., Arthur, R., Saotome, O., Kemper, G., Borges Monteiro, A.C. (eds) Proceedings of the 5th Brazilian Technology Symposium. Smart Innovation, Systems and Technologies, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-030-57566-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-57566-3_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57565-6
Online ISBN: 978-3-030-57566-3
eBook Packages: EngineeringEngineering (R0)