One tag, two codes: identifying optical barcodes with NFC

Barcodes and NFC have become the de facto standards in the field of automatic identification and data capture. These standards have been widely adopted for many applications, such as mobile payments, advertisements, social sharing, admission control, and so on. Recently, considerable demands require the integration of these two codes (barcode and NFC code) into a single tag for the functional complementation. To achieve the goal of "one tag, two codes" (OTTC), this work proposes CoilCode, which takes advantage of the printed electronics to fuse an NFC coil antenna into a QR code on a single layer. The proposed code could be identified by cameras and NFC readers. With the use of the conductive inks, QR code and NFC code have become an essential part of each other: the modules of the QR code facilitate the NFC chip in harvesting energy from the magnetic field, while the NFC antenna itself represents bits of the QR code. Compared to the prior dual-layer OTTC, CoilCode is more compact, cost-effective, flimsy, flexible, and environment-friendly, and also reduces the fabrication complexity considerably. We prototyped hundreds of CoilCodes and conducted comprehensive evaluations (across 4 models of NFC chips and 8 kinds of NFC readers under 13 different system configurations). CoilCode demonstrates high-quality identification results for QR code and NFC functions on a wide range of inputs and under different distortion effects.

[1]  B. Derby,et al.  Screen Printing of a Highly Conductive Graphene Ink for Flexible Printed Electronics. , 2019, ACS applied materials & interfaces.

[2]  K. Novoselov,et al.  Sustainable production of highly conductive multilayer graphene ink for wireless connectivity and IoT applications , 2018, Nature Communications.

[3]  S. Magdassi,et al.  Conductive nanomaterials for printed electronics. , 2014, Small.

[4]  N.C. Karmakar,et al.  Phase-Encoded Chipless RFID Transponder for Large-Scale Low-Cost Applications , 2009, IEEE Microwave and Wireless Components Letters.

[5]  Meifang Zhu,et al.  Highly Conductive, Flexible, and Compressible All‐Graphene Passive Electronic Skin for Sensing Human Touch , 2014, Advanced materials.

[6]  Ricardo Martínez,et al.  Inkjet printed antennas for NFC systems , 2010, 2010 17th IEEE International Conference on Electronics, Circuits and Systems.

[7]  Lei Yang,et al.  Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices , 2014, MobiCom.

[8]  Ja-Ling Wu,et al.  Appearance-Based QR Code Beautifier , 2013, IEEE Transactions on Multimedia.

[9]  Zhihong Liu,et al.  Aesthetic QR Codes Based on Two-Stage Image Blending , 2015, MMM.

[10]  Peter Henderson,et al.  An Introduction to Deep Reinforcement Learning , 2018, Found. Trends Mach. Learn..

[11]  Min-Chun Hu,et al.  Efficient QR Code Beautification With High Quality Visual Content , 2015, IEEE Transactions on Multimedia.

[12]  Nemai Chandra Karmakar,et al.  Chipless RFID: Bar Code of the Future , 2010, IEEE Microwave Magazine.

[13]  Liang Wang,et al.  Hierarchical Macro Strategy Model for MOBA Game AI , 2018, AAAI.

[14]  Demis Hassabis,et al.  Mastering the game of Go with deep neural networks and tree search , 2016, Nature.

[15]  R. Kaner,et al.  Calligraphy-inspired brush written foldable supercapacitors , 2017 .

[16]  Niloy J. Mitra,et al.  Halftone QR codes , 2013, ACM Trans. Graph..

[17]  Gonzalo R. Arce,et al.  QR Images: Optimized Image Embedding in QR Codes , 2014, IEEE Transactions on Image Processing.

[18]  Jing Liao,et al.  Stylized Aesthetic QR Code , 2018, IEEE Transactions on Multimedia.

[19]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[20]  Cristian Herrojo,et al.  Chipless-RFID: A Review and Recent Developments , 2019, Sensors.