Opendata, web and dolomites


dSense – Self adapting, cost efficient method for detecting context of a mobile device and a mobile device with a context detection module

Total Cost €


EC-Contrib. €






Project "dSense" data sheet

The following table provides information about the project.


Organization address
address: UL KOWALSKA 1
city: OPOLE
postcode: 45 588
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Poland [PL]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2016
 Duration (year-month-day) from 2016-05-01   to  2016-10-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

The project is going to launch in existing mobile devices a software system and/or module for a context detection to ensure environmentally and costly efficient required service’s results for users. The R&D Department of Binartech has developed basic substantial assumptions of these method,it is protected by international patent in Poland, Europe (Germany, France,UK),Japan, U.S.A. India (patent pending). The disruptive solution focuses on more effective,faster and apt fit of mobile services to user's needs, which is possible thanks to a device being aware of a broader context in which it is used atm (eg. when driving a car or walking). Our solutions provides much better compromise between accuracy and energy usage. dSense is distinctive from available solutions because of its self-adapting skills, which are crucial due to large variety of devices and environments people use their mobile phones. This means that even for ca. 5% user of mobile devices having every-day problems with accuracy of context awareness of mobile applications, it will be easy to get self-learning correct results in a short period of time using low energy-consuming sensors. We have identified three areas of benefits according to understanding of the user, i.e.: final users of mobile devices,application developers/investors, and mobile devices producers which mount the module in their devices.Added values are:operating time of the battery (better up to 60%), automatic adaptation of the context detection system to all applications being installed to the mobile devices, accuracy of applications’ results and speed of delivered applications’ results. Feasibility study will enable us to verify the technological feasibility and economic viability of launching dSense on EU’s market, which will contribute to solving the aforementioned problems.PHASE I is the beginning and we believe it will lead to PHASE II.This will enable us to identify resources needed for commercial implementation of our technology.

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The information about "DSENSE" are provided by the European Opendata Portal: CORDIS opendata.

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