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EoT

Eyes of Things

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

EoT project word cloud

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

types apis operation richest combined automation technological sensors inferred factory cell big academic optimized independently combines computer coupled market imaging question moving phones ground carefully consumption vision arguably everywhere definite respect platform power quality mobile surveillance unused inferring arises always smart eyes adapt purpose data artificial personal precludes either milliwatt capability endless hours continuous impressing designed assisted possibilities intelligence create readers mass augmented demanding consistently owe core sensor living wearable mean maximize breaking pdas phenomenal hardware ambient artefacts things envisioned time services people purposes

Project "EoT" data sheet

The following table provides information about the project.

Coordinator	UNIVERSIDAD DE CASTILLA - LA MANCHA Organization address address: CALLE ALTAGRACIA 50 city: CIUDAD REAL postcode: 13071 website: www.uclm.es 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	http://www.eyesofthings.eu
Total cost	4˙932˙280 €
EC max contribution	3˙734˙830 € (76%)
Programme	1. H2020-EU.2.1.1.1. (A new generation of components and systems: Engineering of advanced embedded and energy and resource efficient components and systems)
Code Call	H2020-ICT-2014-1
Funding Scheme	IA
Starting year	2015
Duration (year-month-day)	from 2015-01-01 to 2018-06-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSIDAD DE CASTILLA - LA MANCHA UNIVERSIDAD DE CASTILLA - LA MANCHA Organization address address: CALLE ALTAGRACIA 50 city: CIUDAD REAL postcode: 13071 website: www.uclm.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (CIUDAD REAL)	coordinator	693˙980.00
2	DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH Organization address address: TRIPPSTADTER STRASSE 122 city: KAISERSLAUTERN postcode: 67663 website: www.dfki.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (KAISERSLAUTERN)	participant	1˙069˙300.00
3	MOVIDIUS LIMITED MOVIDIUS LIMITED Organization address address: O CONNELL BRIDGE HOUSE D'OLIER STREET 1ST FLOOR city: DUBLIN postcode: 2 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.	IE (DUBLIN)	participant	577˙500.00
4	AMS SENSORS PORTUGAL UNIPESSOAL LDA(ZONA FRANCA DA MADEIRA) AMS SENSORS PORTUGAL UNIPESSOAL LDA(ZONA FRANCA DA MADEIRA) Organization address address: CAMINHO DA PENTEADA MADEIRA TECNOPOLO 2 ANDAR city: FUNCHAL postcode: 9020 105 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.	PT (FUNCHAL)	participant	565˙556.00
5	THALES SIX GTS FRANCE SAS THALES SIX GTS FRANCE SAS Organization address address: AVENUE DES LOUVRESSES 4 city: GENNEVILLIERS postcode: 92230 website: www.thalesgroup.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (GENNEVILLIERS)	participant	341˙818.00
6	FLUXGUIDE AUSSTELLUNGSSYSTEME GMBH FLUXGUIDE AUSSTELLUNGSSYSTEME GMBH Organization address address: BURGGASSE 7-9/9 city: WIEN postcode: 1070 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.	AT (WIEN)	participant	248˙675.00
7	EVERCAM LIMITED EVERCAM LIMITED Organization address address: 6-7 GRANBY ROW city: DUBLIN postcode: D01 FW20 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.	IE (DUBLIN)	participant	238˙000.00
8	FLUXGUIDE AUSSTELLUNGSSYSTEME OG FLUXGUIDE AUSSTELLUNGSSYSTEME OG Organization address address: ZINCKGASSE 20 22 city: WIEN postcode: 1150 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.	AT (WIEN)	participant	0.00
9	NVISO SA NVISO SA Organization address address: PARC SCIENTIFIQUE EPFL city: LAUSANNE postcode: 1015 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.	CH (LAUSANNE)	participant	0.00

Map

Project objective

Vision, our richest sensor, allows inferring big data from reality. Arguably, to be “smart everywhere” we will need to have “eyes everywhere”. Coupled with advances in artificial vision, the possibilities are endless in terms of wearable applications, augmented reality, surveillance, ambient-assisted living, etc. Currently, computer vision is rapidly moving beyond academic research and factory automation. On the other hand, mass-market mobile devices owe much of their success to their impressing imaging capabilities, so the question arises if such devices could be used as “eyes everywhere”. Vision is the most demanding sensor in terms of power consumption and required processing power and, in this respect, existing mass-consumer mobile devices have three problems: 1) power consumption precludes their ‘always-on’ capability, 2) they would have unused sensors for most vision-based applications and 3) since they have been designed for a definite purpose (i.e. as cell phones, PDAs and “readers”) people will not consistently use them for other purposes. Our objective in this project is to build an optimized core vision platform that can work independently and also embedded into all types of artefacts. The envisioned open hardware must be combined with carefully designed APIs that maximize inferred information per milliwatt and adapt the quality of inferred results to each particular application. This will not only mean more hours of continuous operation, it will allow to create novel applications and services that go beyond what current vision systems can do, which are either personal/mobile or ‘always-on’ but not both at the same time. Thus, the “Eyes of Things” project aims at developing a ground-breaking platform that combines: a) a need for more intelligence in future embedded systems, b) computer vision moving rapidly beyond academic research and factory automation and c) the phenomenal technological advances in mobile processing power.

Deliverables

List of deliverables.
Webpage for each demonstrator, incl. videos	Websites, patent fillings, videos etc.	2019-05-30 16:55:48
Demonstrator 1, EoT application	Other	2019-05-30 16:55:40
Demonstrator 4, Test report	Documents, reports	2019-05-30 16:55:55
Demonstrator 2, Test report	Documents, reports	2019-05-30 16:55:53
Test sets and results with EoT factor form board	Documents, reports	2019-05-30 16:55:46
Demonstrator 1, Configuration app	Other	2019-05-30 16:55:44
Demonstrator 4, EoT application	Other	2019-05-30 16:55:43
EoT device with factor form board	Demonstrators, pilots, prototypes	2019-05-30 16:55:41
Design of the application development competition	Demonstrators, pilots, prototypes	2019-05-30 16:55:51
Demonstrator 2, Configuration app	Other	2019-05-30 16:55:43
Demonstrator 4, Configuration app	Other	2019-05-30 16:55:57
Demonstrator 3, EoT application	Other	2019-05-30 16:55:56
Demonstrator 2, EoT application	Other	2019-05-30 16:55:42
Demonstrator 3, Test report	Documents, reports	2019-05-30 16:55:36
Demonstrator 1, Test report	Documents, reports	2019-05-30 16:55:44
Demonstrator 3, Configuration app	Other	2019-05-30 16:55:42
Final report	Documents, reports	2019-05-30 16:55:33
Prototype board	Other	2019-03-08 17:52:46
Application processor description	Documents, reports	2019-03-08 17:52:40
EoT website and communication platform	Websites, patent fillings, videos etc.	2019-02-26 10:27:48
Desktop middleware API reference documentation	Documents, reports	2019-02-26 10:27:48
Test sets and results with EoT prototype	Documents, reports	2019-02-26 10:27:48
Wireless & ancillary hardware BoM	Other	2019-02-26 10:27:48
Factor form board design and BoM	Other	2019-02-26 10:27:48
Firmware documentation	Documents, reports	2019-02-26 10:27:48
Android middleware API reference documentation	Documents, reports	2019-02-26 10:27:48
Image sensor description	Documents, reports	2019-02-26 10:27:48

Take a look to the deliverables list in detail: detailed list of EoT deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2015	Ismael Serrano Gracia, Oscar Deniz Suarez, Gloria Bueno Garcia, Tae-Kyun Kim Fast Fight Detection published pages: e0120448, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0120448	PLOS ONE 10/4	2019-05-29
2016	Xiaofan Xu, David Corrigan, Alireza Dehghani, Sam Caulfield, David Moloney 3D Object Recognition Based on Volumetric Representation Using Convolutional Neural Networks published pages: 147-156, ISSN: , DOI: 10.1007/978-3-319-41778-3_15	International Conference on Articulated Motion and Deformable Objects	2019-05-29
2015	David Moloney, Oscar Deniz Suarez A Vision for the Future [Soapbox] published pages: 40-45, ISSN: 2162-2256, DOI: 10.1109/mce.2015.2392956	IEEE Consumer Electronics Magazine 4/2	2019-05-29
2015	Noelia VÃ¡llez, Oscar Deniz, Gloria Bueno Sample Selection for Training Cascade Detectors published pages: e0133059, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0133059	PLOS ONE 10/7	2019-05-29
2017	Jameel Malik, Ahmed Elhayek, Didier Stricker Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image published pages: , ISSN: , DOI:	International Conference on 3D Vision	2019-05-29
2016	Moloney, David ; Pena, Dexmont ; Dunne, Aubrey ; Dehghani, Alireza ; Baugh, Gary ; Caulfield, Sam ; Lee, Kevin ; Xu, Xiaofan ; MÃ¼ller, Maximilian ; Gastaud, Remi ; Vesa, Ovidiu ; Deniz Suarez, Oscar ; Espinosa Aranda, JosÃ© Luis ; Vallez Enano, Noelia Low-Cost Visually Intelligent Robots with EoT published pages: , ISSN: , DOI: 10.5281/zenodo.56226	Robotics: Science and Systems, Workshop Are the Sceptics Right? Limits and Potentials of Deep Learning in Robotics (RSS)	2019-05-29
2014	Deniz, Oscar Eyes of Things Project Presentation published pages: , ISSN: , DOI: 10.5281/zenodo.35569	1	2019-05-29
2017	Oscar Deniz, Noelia Vallez, Jose Espinosa-Aranda, Jose Rico-Saavedra, Javier Parra-Patino, Gloria Bueno, David Moloney, Alireza Dehghani, Aubrey Dunne, Alain Pagani, Stephan Krauss, Ruben Reiser, Martin Waeny, Matteo Sorci, Tim Llewellynn, Christian Fedorczak, Thierry Larmoire, Marco Herbst, Andre Seirafi, Kasra Seirafi Eyes of Things published pages: 1173, ISSN: 1424-8220, DOI: 10.3390/s17051173	Sensors 17/5	2019-05-29

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