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Eyes of Things

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.
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Coordinator

UNIVERSIDAD DE CASTILLA - LA MANCHA

Address

Calle Altagracia 50
13071 Ciudad Real

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 693 980

Participants (8)

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AMS SENSORS PORTUGAL UNIPESSOAL LDA(ZONA FRANCA DA MADEIRA)

Portugal

EU Contribution

€ 565 556,25

EVERCAM LIMITED

Ireland

EU Contribution

€ 238 000

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany

EU Contribution

€ 1 069 300

MOVIDIUS LIMITED

Ireland

EU Contribution

€ 577 500

THALES SIX GTS FRANCE SAS

France

EU Contribution

€ 341 818,75

FLUXGUIDE AUSSTELLUNGSSYSTEME OG

Austria

FLUXGUIDE AUSSTELLUNGSSYSTEME GMBH

Austria

EU Contribution

€ 248 675

NVISO SA

Switzerland

Project information

Grant agreement ID: 643924

  • Start date

    1 January 2015

  • End date

    30 June 2018

Funded under:

H2020-EU.2.1.1.1.

  • Overall budget:

    € 4 932 280

  • EU contribution

    € 3 734 830

Coordinated by:

UNIVERSIDAD DE CASTILLA - LA MANCHA

Spain