Eyes of Things

From Wikipedia, the free encyclopedia
Eyes of Things
Information
Funding agencyEuropean Commission
Framework ProgrammeHorizon 2020
Project typeInnovation Action
ParticipantsUniversity of Castilla–La Mancha, AWAIBA, Movidius, THALES, DFKI, Fluxguide, Evercam, nVISO
StartJanuary 2015
EndJune 2018
Websitehttp://eyesofthings.eu

Eyes of Things (EoT) is the name of a project funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement number 643924.[1][2][3][4][5][6][7] The purpose of the project, which is funded under the Smart Cyber-physical systems topic,[8] is to develop a generic hardware-software platform for embedded, efficient (i.e. battery-operated, wearable, mobile), computer vision, including deep learning inference.

On November 29, 2018, the European Space Agency announced that it was testing the suitability of the device for space applications in advance of a flight in a Cubesat.[9]

Eyes of Things board

Motivation[edit]

EoT is based on the following tenets:[10]

  • Future embedded systems will have more intelligence and cognitive functionality. Vision is paramount to such intelligent capacity
  • Unlike other sensors, vision requires intensive processing. Power consumption must be optimized if vision is to be used in mobile and wearable applications
  • Cloud processing of edge-captured images is not sustainable. The sheer amount of visual data generated cannot be transferred to the cloud. Bandwidth is not sufficient and cloud servers cannot cope with it.

Partners[edit]

Awards[edit]

  • 2019 Electronic Component and Systems Innovation Award by the European Commission
  • 2018 HiPEAC Tech Transfer Award
  • 2018 EC Innovation Radar - highlighting excellent innovations Award
  • 2018 Internet of Things (IoT) Technology Research Award Pilot by Google
  • 2016 Semifinalist "THE VISION SHOW STARTUP COMPETITION", Global Association for Vision Information, Boston US

See also[edit]

References[edit]

  1. ^ Deniz, Oscar; Vallez, Noelia; Espinosa-Aranda, Jose L.; Rico-Saavedra, Jose M.; Parra-Patino, Javier; Bueno, Gloria; Moloney, David; Dehghani, Alireza; Dunne, Aubrey; Pagani, Alain; Krauss, Stephan; Reiser, Ruben; Waeny, Martin; Sorci, Matteo; Llewellynn, Tim; Fedorczak, Christian; Larmoire, Thierry; Herbst, Marco; Seirafi, Andre; Seirafi, Kasra (21 May 2017). "Eyes of Things". Sensors. 17 (5): 1173. Bibcode:2017Senso..17.1173D. doi:10.3390/s17051173. PMC 5470918. PMID 28531141.
  2. ^ "Smart doll fitted with AI chip can read your child's emotions". NewScientist.com. Retrieved 26 January 2018.
  3. ^ Emotion-reading doll is a somewhat creepy example of what´s possible with AI, by Luke Dormehl, Digital Trends, June 22, 2017
  4. ^ Low-Cost Visually Intelligent Robots with EoT, D. Moloney, D. Pena, A. Dunne et al. Workshop Robotics: Science and Systems (RSS 2016), Michigan (USA) [1]
  5. ^ Kick off of new 'Eyes of Things' project. CORDIS Wire
  6. ^ Computer vision platform being developed by European Commission
  7. ^ HiPEAC members will coordinate a European project on Smart Cyber-Physical Systems, HiPEAC Info n. 41, page 12, January 2015, [2][permanent dead link]
  8. ^ "ICT 2014 - Information and Communications Technologies, Topic: Smart CyberPhysical Systems". Europa.eu. Retrieved 26 January 2018.
  9. ^ ESA (2018-12-04). "ESA team blasts Intel's new AI chip with radiation at CERN". European Space Agency. Retrieved 2018-12-04.
  10. ^ A Vision for the Future. D. Moloney, O. Deniz. IEEE Consumer Electronics 4(2), April 2015, [3]