Opendata, web and dolomites

BISS

Biometric Identification Security System

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "BISS" data sheet

The following table provides information about the project.

Coordinator
EKEY BIOMETRIC SYSTEMS GMBH 

Organization address
address: LUNZERSTRASSE 89
city: LINZ
postcode: 4030
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 Austria [AT]
 Project website http://www.ekey.net/
 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 2016-06-01   to  2016-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EKEY BIOMETRIC SYSTEMS GMBH AT (LINZ) coordinator 50˙000.00

Map

 Project objective

'Increased security, reduced risk of fraud and added comfort are some of the key benefits of biometric recognition. Users no longer need to worry about numerical codes being stolen through spying, passwords being hacked or keys, codes and cards being exchanged without authorisation. Having to carry identification media with you at all times and protect it against theft has become a thing of the past. Simple log-in via user verification, 1:1 comparison for laptops and mobile phones, and identity checks at border c ontrol are well-known identification methods in use all over the world. However, our project focuses on a significantly more complex method of identification. All authorised persons have to be clearly and securely identified as quickly as possible from a group of several thousand possible candidates (1:10.000) without any further information. The identification process then has to trigger a chain of actions, which is particularly important for those people with so-called 'problematic fingers' (small, torn). Precise biometric recognition is often hindered by factors such as faint lines, scar tissue, abrasion, sweat or dirt on the finger, and inconsistencies in the recording process. The objective is therefore to launch a universal biometric identification system for companies, associations and organisations with a large number of employees or sites. Such a system must enable an employee's biometric fingerprint to be clearly identified from all other employees' data. At the same time, it must also prevent unauthorised persons from attempting to match biometric data, no matter what form such an attempt should take or how often it is carried out. In a bid to increase acceptance and adoption rates, the solution not only has to meet all security requirements, it also has to be easy to use so that all employees are identified quickly and correctly on the first attempt. These requirements must be met for all employees regardless of their age, gender or ethnicity.'

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

scanvid (2017)

ScanVid - One-Click Integrated Access to Product-related Digital Content

Read More  

BioAhead (2017)

BioAhead – an innovative optimization algorithm for amino acid chain analytics

Read More