PolarTag: Invisible data with light polarization

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Abstract

Visual tags (e.g., barcodes, QR codes) are ubiquitous in modern day life, though they rely on obtrusive geometric patterns to encode data, degrading the overall user experience. We propose a new paradigm of passive visual tags which utilizes light polarization to imperceptibly encode data using cheap, widely-available components. The tag and its data can be extracted from background scenery using off-the-shelf cameras with inexpensive LCD shutters attached atop camera lenses. We examine the feasibility of this design with real-world experiments. Initial results show zero bit errors at distances up to 3.0 m, an angular-detection range of 110°, and robustness to manifold ambient light and occlusion scenarios.

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Tian, Z., Carver, C. J., Shao, Q., Roznere, M., Li, A. Q., & Zhou, X. (2020). PolarTag: Invisible data with light polarization. In HotMobile 2020 - Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications (pp. 74–79). Association for Computing Machinery, Inc. https://doi.org/10.1145/3376897.3377854

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