Explore the words cloud of the EoT project. It provides you a very rough idea of what is the project "EoT" about.
The following table provides information about the project.
Coordinator |
UNIVERSIDAD DE CASTILLA - LA MANCHA
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
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 |
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.
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.
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 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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The information about "EOT" are provided by the European Opendata Portal: CORDIS opendata.