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

• Published in: IEEE internet of things journal Vol. 11; no. 13; pp. 23699 - 23710
• Main Authors: Scanzio, Stefano, Rosani, Matteo, Scamuzzi, Mattia, Cena, Gianluca
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Caves; Codes; Compilers; Decision trees; Encoding; End users; executable QR (eQR) code; Internet of Things; Object recognition; programmable QR code; Programming languages; QR code; QR codes; Surveys; Uniform resource locators

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 possibili...