A smart tags driven service platform for enabling ecosystems of connected objects

Kaisa Vehmas, Stylianos Georgoulas, Srdjan Krco, Liisa Hakola, Iker Larizgoitia Abad, Nenad Gligoric, Ingmar Polenz

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

3 Citations (Scopus)


Internet of Things (IoT) is about connecting objects, things and devices and combining them with a set of novel services. IoT market is unstoppably progressing, introducing a lot of changes across industries, both from the technological and business perspectives. Optimization of the whole value chain is providing many opportunities for improvements leveraging IoT technologies, in particular if information about the products is available and shareable. TagItSmart project is creating an open, interoperable set of components that can be integrated into any cloud-based platform to address the challenges related to the lifecycle management of new innovative services. TagItSmart is a three years project (2016-2018), consisting of 15 consortium partners from Europe. The project is funded under the Horizon 2020 program. A main target of the TagItSmart are everyday mass-market objects not normally considered as part of an IoT ecosystem. These new smarter objects will dynamically change their status in response to a variety of factors and be seamlessly tracked during their lifecycle. This will change the way usersto-things interactions are viewed. Combining the power of functional inks with the pervasiveness of digital and electronic markers, a huge number of objects will be equipped with cheap sensing capabilities thus being able to capture new contextual information. Beside this, the ubiquitous presence of smartphones with their cameras and NFC readers will create the perfect bridge between everyday users and their objects. This will create a completely new flow of crowdsourced information that can be exploited by new services.

Original languageEnglish
Title of host publicationCognitive hyperconnected digital transformation
Subtitle of host publicationInternet of things intelligence evolution
PublisherRiver Publishers
Number of pages26
ISBN (Electronic)9788793609105
ISBN (Print)9788793609112
Publication statusPublished - 23 Sept 2017
MoE publication typeA3 Part of a book or another research book


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