Abstract
In the previous chapter, three kinds of neural networks were used to optimize the distribution of RFID tags, and semi-physical experiments were carried out. In this chapter, we use the method of image processing to collect the data of 2D and 3D tags respectively, and improve the overall dynamic recognition performance of RFID multi-tag system by arranging the position of tags. Firstly, an application system for RFID multi-tag distribution optimization and semi-physical verification including image acquisition system is designed. Then, the image feature extraction and localization algorithm is used to obtain the position of each tag node, and the three-dimensional topology of tags is made.
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Yu, X., Wang, D., Zhao, Z. (2019). Optimal Distribution and Semi-physical Verification of RFID Multi-tag Performance Based on Image Processing. In: Semi-physical Verification Technology for Dynamic Performance of Internet of Things System. Springer, Singapore. https://doi.org/10.1007/978-981-13-1759-0_6
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DOI: https://doi.org/10.1007/978-981-13-1759-0_6
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