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EoT

Eyes of Things

Total Cost €

0

EC-Contrib. €

0

Partnership

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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 ES (CIUDAD REAL) coordinator 693˙980.00
2    DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH DE (KAISERSLAUTERN) participant 1˙069˙300.00
3    MOVIDIUS LIMITED IE (DUBLIN) participant 577˙500.00
4    AMS SENSORS PORTUGAL UNIPESSOAL LDA(ZONA FRANCA DA MADEIRA) PT (FUNCHAL) participant 565˙556.00
5    THALES SIX GTS FRANCE SAS FR (GENNEVILLIERS) participant 341˙818.00
6    FLUXGUIDE AUSSTELLUNGSSYSTEME GMBH AT (WIEN) participant 248˙675.00
7    EVERCAM LIMITED IE (DUBLIN) participant 238˙000.00
8    FLUXGUIDE AUSSTELLUNGSSYSTEME OG AT (WIEN) participant 0.00
9    NVISO SA 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

year authors and title journal last update
List of publications.
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 Vállez, 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 ; Müller, Maximilian ; Gastaud, Remi ; Vesa, Ovidiu ; Deniz Suarez, Oscar ; Espinosa Aranda, José 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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