Abstract
Line crossing detection is to check whether people or objects go across a given barrier line, which is quite common and important in our daily life, such as the EAS checkpoint in a retail store or the finish line in track and field. Although existing solutions to line crossing detection have achieved great advancement, they do not function well when multiple objects or people cross the line at the same time. In this paper, we propose a new RFID-based solution called RF-Line to the problem of line crossing detection, especially for multi-object scenarios. The biggest challenge is that the RFID reader’s coverage zone is invisible and irregular; we cannot roughly take the time when a tag is seen by the reader for the first time as the time when line crossing occurs. In RF-Line, we deploy two antennas opposite each other and collect the RF phase profiles of two antennas at the same time. By a series of geometric transformations and mathematical derivations, we find that summing up the two phase profiles will get a new phase curve, in which the inflection point of the curve is the time of line crossing. We implement RF-Line with commodity RFID systems. Extensive experiments show that RF-Line can achieve accurate line crossing detection with a small error of 6.1 cm, with no need for any system calibration or complicated deployment.
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Acknowledgment
This research is financially supported by the National Natural Science Foundation of China under Grant 62072231, the Open Project of State Key Laboratory for Novel Software Technology under Grant KFKT2021B15, and the Collaborative Innovation Center of Novel Software Technology and Industrialization.
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Wang, X., Xun, K., Chen, X., Wang, X., Liu, J., Zhao, Z. (2022). RF-Line: RFID-Based Line Crossing Detection. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13472. Springer, Cham. https://doi.org/10.1007/978-3-031-19214-2_3
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DOI: https://doi.org/10.1007/978-3-031-19214-2_3
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