Fast Batch Reading Densely Deployed QR Codes

Tian, Xiaohua; Qin, Shaofei; Jiang, Binyao; Gao, Yuan; Wang, Xinbing

doi:10.1109/tmc.2021.3106763

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Description Anti-counterfeiting [10] Implement and improve the quality of an anti-counterfeiting system through the use of QR codes Augmented reality [11] QR codes for the personalization of objects displayed by virtual reality Automatic config. [12] QR codes used to auto-configure Industrial Internet of Things sensor networks Fast reading [13] Mobile application that allows reading densely placed QR codes Identification [14] QR codes and robotic arms to automatically manage books in a library Localization [15] QR codes used to improve the localization of mobile robots [16] Use of QR codes placed in specific points to track the position of a person [17] Use and placement of QR codes to enable navigation in indoor environments Maintainance [18] QR codes are used to perform predictive maintenance and self-calibration of a robotic arm Healthcare [19] Embedding of an ECG signal within a QR code [20] Use of QR codes for authenticating medical images in a blockchain framework context Payment [21] Improving security when QR codes are used for payment [22] How the use of QR codes for mobile payments is perceived by users [23] Use of QR codes to manage E-Wallets Recycling [24] Use of QR codes to manage radioactive waste [25] Combined use of QR codes and blockchains to build a recycling platform Safety [26] Management of construction safety through QR codes Security [27] Embed a secret within the QR code [28] Manage encryption and decryption through watermarking in medical applications [29] A comprehensive study about QR code applications from the point of view of security and privacy Teaching [30] Integration of QR codes in teaching material and in classrooms to improve the quality of education [31] Integrate QR codes and text to improve the learning of English as a foreign language Traceability [32] Use of blockchains, explainable artificial intelligence, and QR codes for food traceability [33] A review on the possibility of embedding information on manufactured parts [34] Use of traceability to track vegetable supply chain Tourism [35] QR codes for exploring mount Etna (volcano) (e.g., printed on posters or stickers, possibly with additional information) is trans...…”

Section: Topicmentioning

confidence: 99%

QR Codes: From a Survey of the State of the Art to Executable eQR Codes for the Internet of Things

Scanzio,

Rosani,

Scamuzzi

et al. 2024

IEEE Internet Things J.

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QR codes are increasingly used in a plurality of scenarios, and research activities are being successfully carried out to improve this technology and widen its contexts of applicability. After an extensive survey of the state-of-the-art on the subject, this work presents the new, promising possibility to embed a programming language in a QR code.This new kind of executable QR codes, we named eQR codes, enable interaction with end users even in the absence of an Internet connection, and provide a sort of IoT paradigm where intelligence is embedded in the object tag in the form of a program. Among all the possible languages that can be embedded, this work focuses on a powerful but compact (in terms of QR code storage occupation) dialect, termed QRtree, which is aimed at implementing decision trees. The eQR code technology makes a new class of applications possible, e.g., providing hints for navigation or instructions for using rescue devices in places with no network coverage like mountains and caves. Smart interactive user manuals are enabled as well.Besides defining the QRtree language and eQR code structure, this paper describes all the steps needed to generate eQR codes and to manage their execution in end-user devices. A simple yet realistic example and the related code are also presented, to practically show how this technology can be used to solve realworld problems. For the example, the QRtree version of the code takes 234 B, less than one-half the size of an equivalent program in Python bytecode (634 B).

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