FerroTag: a paper-based mmWave-scannable tagging infrastructure
FerroTag: a paper-based mmWave-scannable tagging infrastructure
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DOI：
10.1145/3356250.3360019
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Zhengxiong Li;Baicheng Chen;Zhuolin Yang;Huining Li;Chenhan Xu;Xingyu Chen;Kun Wang;Wenyao Xu
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文献类型：
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作者：
Zhengxiong Li;Baicheng Chen;Zhuolin Yang;Huining Li;Chenhan Xu;Xingyu Chen;Kun Wang;Wenyao Xu
库存管理是供应链中监督非资本化产品和库存项目的关键。盘点、索引和识别是库存管理的主要工作。目前，在产品清点/识别中采用最多的库存技术是使用激光扫描条形码或射频识别（RFID）。然而，激光扫描条形码受到对齐问题的困扰（即，激光阅读器必须与视线内的一个条形码对齐），并且RFID在经济和环境上不友好（即，高成本和非自然一次性）。为此，我们提出了FerroTag，这是一种基于纸张的毫米波可扫描标签基础设施，用于下一代库存管理系统，具有超低成本，环保，无电池和就地（即多个标签可以在视线外同时处理）。FerroTag是在ferorf效应之上发展起来的。具体来说，铁磁流体墨水中的磁性纳米颗粒响应探测毫米波具有可分类的特征（即铁磁响应）。通过指定油墨模式和粒子的位置，可以修改相关的铁氧体响应。因此，一个特别指定的铁磁流体油墨印刷图案，与一个独特的铁磁响应相关联，是一个远程检索（又名毫米波扫描）的身份。此外，我们通过设计高容量模式系统和细粒度识别协议来增强FerroTag，从而可以系统地提高FerroTag在库存批量产品管理中的容量和鲁棒性。最后，我们用201种不同的标签设计模式评估了FerroTag的性能。结果表明，在受控的实验室设置中，FerroTag识别标签的准确率超过99%。此外，我们在各种现实环境下检查了FerroTag的可靠性，鲁棒性和性能，其中FerroTag保持了97%以上的准确性。因此，对于库存管理系统的应用来说，FerroTag是一个很有前途的标记基础结构。
Inventory management is pivotal in the supply chain to supervise the non-capitalized products and stock items. Item counting, indexing and identification are the major jobs of inventory management. Currently, the most adopted inventory technologies in product counting/identification are using either the laser-scannable barcode or the radio-frequency identification (RFID). However, the laser-scannable barcode is entangled by an alignment issue (i.e., the laser reader must align with one barcode in line-of-sight), and the RFID is economically and environmentally unfriendly (i.e., high-cost and not naturally disposable). To this end, we propose FerroTag which is a paper-based mmWave-scannable tagging infrastructure for the next generation inventory management system, featuring ultra-low cost, environment-friendly, battery-free and in-situ (i.e., multiple tags can be simultaneously processed outside the line-of-sight). FerroTag is developed on top of the FerroRF effects. Specifically, the magnetic nanoparticles within the ferrofluidic ink reply to probing mmWave with classifiable features (i.e., the FerroRF response). By designating the ink pattern and hence the location of particles, the related FerroRF response can be modified. Thus, a specifically designated ferrofluidic ink printed pattern, which is associated with a unique FerroRF response, is a remotely retrievable (a.k.a., mmWave-scannable) identity. Furthermore, we augment FerroTag by designing a high capacity pattern system and a fine-grained identification protocol such that the capacity and robustness of FerroTag can be systematically improved in mass product management in inventory. Last but not least, we evaluate the performance of FerroTag with 201 different tag design patterns. Results show that FerroTag can identify tags with an accuracy of more than 99% in a controlled lab setup. Moreover, we examine the reliability, robustness and performance of FerroTag under various real-world circumstances, where FerroTag maintains the accuracy over 97%. Therefore, FerroTag is a promising tagging infrastructure for the applications in inventory management systems.