Opendata, web and dolomites

NIRIS

Non-Intrusive Resident Identification Sensor

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "NIRIS" data sheet

The following table provides information about the project.

Coordinator
ELGOLINE DOO 

Organization address
address: Podskrajnik 34
city: Cerknica
postcode: 1380
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 Slovenia [SI]
 Project website http://www.elgoline.si/niris
 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-1-2014
 Funding Scheme SME-1
 Starting year 2015
 Duration (year-month-day) from 2015-06-01   to  2015-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ELGOLINE DOO SI (Cerknica) coordinator 50˙000.00

Map

 Project objective

The goal of Non-Intrusive Resident Identification Sensor (NIRIS) project is to introduce the first affordable NIRIS to the market, which is the key component to enable true intelligence in smart buildings. Currently available smart buildings rely on user input and manual micromanagement to function correctly, which is neither efficient nor user friendly. Our sensor, on the other hand, non-intrusively identifies users passing through a doorway, which enables automatic adaptation and optimization of house appliances management, i.e. true smart buildings.

Moreover, an array of NIRIS sensors can monitor users’ room-level location and detect anomalies, increasing safety and security of inhabitants and enabling a range of new applications, e.g. tele-medicine. Artificial intelligence method embedded in our NIRIS (developed in E-doorman project) accurately predicts users’ room-level location based on past behaviour. User-presence prediction can be used to lower household’s running costs by up to 30% and at the same time increase comfort of inhabitants. This means more than €300 in savings for an average European household per year. We intend to sell our sensor for less than €50 per unit, at an average of 3 sensors per house; this means that consumer’s payback period will be less than 6 months.

All required intellectual property rights (IPR) are owned by Elgoline or are in public domain; the most important IPR is already protected by a patent filed on July 30th 2014 at the Slovenian patent office. Within the NIRIS project we will analyse opportunities for sensor applications, elaborate on business plan and connect with appropriate partners to bring NIRIS to the masses.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NIRIS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

Starcounter (2017)

In-Memory Computing and Artificial Intelligence Platform for Building Next Generation Enterprise Software

Read More  

BioAhead (2017)

BioAhead – an innovative optimization algorithm for amino acid chain analytics

Read More  

Meshporto_smeIns1_2 (2018)

PsstMenu allows customers to place orders directly from home or restaurant tables using only a smartphone.

Read More