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Image Processing Based a Wireless Charging System with Two Mobile Robots

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Multimedia and Ubiquitous Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 240))

Abstract

This paper presents the image processing algorithm for wireless charging between each mobile robot. The image processing algorithm converts Red Green Blue (RGB) format of inputted image to detect edge. It calculates a specific area using Hough Transformation (HT) in detected edge and judges correct charging antenna using Speeded-Up Robust Features (SURF). Accordingly, the image processing algorithm can control position and direction of mobile robot and antenna for wireless charging. The image processing algorithm is implemented wireless charging systems, which are set up on each two mobile robot and it is verified with experiment.

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References

  1. Wireless Power Consortium. http://www.wirelesspowerconsortium.com

  2. Hough PVC (1962) Methods and means for recognizing complex patterns. US Patent 3,069,654

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  3. Bay H, Ess A, Tuytelaars T, Van Gool L (2008) SURF speeded up robust features. Comput Vis Imag Underst 110(3):346–359

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  4. TETRA-DS DasaRobot, DasaRobot (2009)

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  5. Kim J-O, Rho S, Moon C-W, Ahn H-S (2012) Imaging processing based a wireless charging system with a mobile robot. Computer applications for database, education, and ubiquitous computing. Communications in computer and information science, vol 352. Springer, Heidelberg, pp 298–301

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Acknowledgments

This research was supported by the The Ministry of Knowledge Economy (MKE), Korea, under the Information Technology Research Center (ITRC) support program (NIPA-2012-H0301-12-2007) supervised by the National IT Industry Promotion Agency (NIPA).

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Correspondence to Chan-Woo Moon .

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© 2013 Springer Science+Business Media Dordrecht(Outside the USA)

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Kim, JO., Moon, CW., Ahn, HS. (2013). Image Processing Based a Wireless Charging System with Two Mobile Robots. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_95

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  • DOI: https://doi.org/10.1007/978-94-007-6738-6_95

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6737-9

  • Online ISBN: 978-94-007-6738-6

  • eBook Packages: EngineeringEngineering (R0)

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