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SMOWL SIGNED

A CONTINUOUS IDENTITY AUTHENTICATION MONITORING SYSTEM FOR ONLINE SERVICES USING AUTOMATIC FACE, VOICE AND KEYSTROKE RECOGNITION

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

SMOWL project word cloud

Explore the words cloud of the SMOWL project. It provides you a very rough idea of what is the project "SMOWL" about.

identification invigilation practical continuous facial smowl consists security monitoring identity services substantial service online remote authentication automatic market keystroke cyber scalable sectors learning proctoring detected recognition solution voice

Project "SMOWL" data sheet

The following table provides information about the project.

Coordinator	SMILEY OWL TECH SL Organization address address: CALLE ARTURO CAMPION 22 city: SAN SEBASTIAN postcode: 20018 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	Spain [ES]
Project website	https://smowl.net/en/h2020/
Total cost	839˙250 €
EC max contribution	587˙475 € (70%)
Programme	1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
Code Call	H2020-SMEInst-2018-2020-2
Funding Scheme	SME-2
Starting year	2018
Duration (year-month-day)	from 2018-10-01 to 2020-09-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	SMILEY OWL TECH SL SMILEY OWL TECH SL Organization address address: CALLE ARTURO CAMPION 22 city: SAN SEBASTIAN postcode: 20018 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.	ES (SAN SEBASTIAN)	coordinator	587˙475.00

Map

Project objective

SMOWL is a practical and reliable solution for online user identification and monitoring. It consists in a new cyber-security service covering the need for a continuous, automatic and scalable authentication of online user’s identity and monitoring.

The technology, based on continuous automatic facial, voice and keystroke recognition, can be applied to numerous sectors. Within SMOWL project, it is implemented into the e-learning growing market, where a substantial need has been detected for online proctoring and remote invigilation services.

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