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This project has received funding from the European
Union’s Horizon 2020 research and innovation
programme under Grant Agreement No 643924
‘Eyes of Things’ European project –
Innovation on ‘computer vision’
2
Introduction
• Topic: Smart cyber-physical systems
• Innovation Action (i.e. ‘‘Novel applications with old solutions’’*)
H2020-ICT-2014-01 European project [GA n°643924]
Started on 1st of January 2015
Duration: 3 years
Budget: 5 M€ (EU contribution: 3,8 M€)
•Cf. table 
8 partners, 7 countries
N° Partner name Role Country
1
Universidad de Castilla-La
Mancha
Coordinator
Leader of WP1 ‘Management’, W3
‘Platform SW’, WP5
‘Communication & Dissemination’
Spain
2
Awaiba Consultadoria,
Desenvolvimento e
Comercio De Componentes
Microelectronicos, Lda.
Camera and sensor supplier Portugal
3 Camba.tv Ltd (EVERCAM)
Leader of demonstrator 3: Cloud
computing
Ireland
4
Deutsches
Forschungszentrum Fuer
Kuenstliche Intelligenz
Gmbh (DFKI)
Software development co-leader
Leader of WP4 ‘Integration &
demonstration’
Germany
5 Movidius Ltd
Leader of WP2 ‘Platform hardware’
Myriad2 processor supplier
Ireland
6
Thales Communications &
Security SAS
Software development
Leader of demonstrator 1:
Surveillance
France
7
Fluxguide
Ausstellungssysteme OG
Leader of demonstrator 2:
Augmented reality (museum)
Austria
8 nViso SA
Leader of demonstrator 4:
Perceptual computing (doll)
Switzerland* HW platform under study with Myriad2 processor
3
‘Eyes of Things’ Consortium
4
Motivation
• Vision is our most advanced sensor
• Embedded vision is everywhere
• Vision practitioners do not have a versatile mobile platform
• Smartphones and tablets are good, but:
• They can’t be used to develop new products
• They do not allow ‘always-on’ vision
5
The idea
• Build a generic vision system that can be
used standalone but also embedded in more
complex artifacts
• Optimize power consumption, size and cost
• Demonstrate that it can be effectively used
to develop vision-based products (4
demonstrators)
camera
3mm x 3mm x 3mm
EoT board
camera cable
0-200cm
6
Similar devices
• Similar devices:
• WaRPboard, Ambarella, Intel EDISON, Ingenic Newton2, Nixie
• Most of these systems are realized with scalar sensors
• Accelerometers, gyroscopes, temperature, pressure...
• NONE has been designed from bottom-up with vision in mind!
7
Project organisation
WP1: Project management
WP5: Communication, Dissemination & Exploitation
Perceptual computing
Cloud computing
Augmented reality
Surveillance
WP4: Integration & Demonstration
T4.1: Demonstrator 1
T4.2: Demonstrator 2
T4.3: Demonstrator 3
T4.4: Demonstrator 4
WP2: Platform
Hardware
WP3: Platform
Software
8
Demonstrator 1: Surveillance
• Application on a peephole allowing the owner to be alerted on his
Smartphone with pictures and qualified events: movements,
suspicious activities, etc.
• Leader: THALES
3. Receive alarms2. Configure1. Attach
9
Demonstrator 2: Augmented reality
• Application on a museum audio tour with automatic recognition of
paintings in order to provide additional audio information
• Leader: Fluxguide
10
Demonstrator 3: Cloud computing
• Application of ‘Vision as a Service’ (VaaS)
• Ex: “lifelogging” camera
• Leader: EVERCAM
11
Demonstrator 4: Perceptual computing
• Application on a doll detecting and recognizing child’s emotion in
order to react accordingly (with audio feedback)
• Leader: nViso
12
Conclusion
• Foreseen for September 2016
‘Computer vision’ connected platform
• Foreseen end of 2017
Demonstrators
…
 An important stake with potential numerous applications!
13
Thank you!
Website: http://eyesofthings.eu/

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Eyes of things

  • 1. 1 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 643924 ‘Eyes of Things’ European project – Innovation on ‘computer vision’
  • 2. 2 Introduction • Topic: Smart cyber-physical systems • Innovation Action (i.e. ‘‘Novel applications with old solutions’’*) H2020-ICT-2014-01 European project [GA n°643924] Started on 1st of January 2015 Duration: 3 years Budget: 5 M€ (EU contribution: 3,8 M€) •Cf. table  8 partners, 7 countries N° Partner name Role Country 1 Universidad de Castilla-La Mancha Coordinator Leader of WP1 ‘Management’, W3 ‘Platform SW’, WP5 ‘Communication & Dissemination’ Spain 2 Awaiba Consultadoria, Desenvolvimento e Comercio De Componentes Microelectronicos, Lda. Camera and sensor supplier Portugal 3 Camba.tv Ltd (EVERCAM) Leader of demonstrator 3: Cloud computing Ireland 4 Deutsches Forschungszentrum Fuer Kuenstliche Intelligenz Gmbh (DFKI) Software development co-leader Leader of WP4 ‘Integration & demonstration’ Germany 5 Movidius Ltd Leader of WP2 ‘Platform hardware’ Myriad2 processor supplier Ireland 6 Thales Communications & Security SAS Software development Leader of demonstrator 1: Surveillance France 7 Fluxguide Ausstellungssysteme OG Leader of demonstrator 2: Augmented reality (museum) Austria 8 nViso SA Leader of demonstrator 4: Perceptual computing (doll) Switzerland* HW platform under study with Myriad2 processor
  • 4. 4 Motivation • Vision is our most advanced sensor • Embedded vision is everywhere • Vision practitioners do not have a versatile mobile platform • Smartphones and tablets are good, but: • They can’t be used to develop new products • They do not allow ‘always-on’ vision
  • 5. 5 The idea • Build a generic vision system that can be used standalone but also embedded in more complex artifacts • Optimize power consumption, size and cost • Demonstrate that it can be effectively used to develop vision-based products (4 demonstrators) camera 3mm x 3mm x 3mm EoT board camera cable 0-200cm
  • 6. 6 Similar devices • Similar devices: • WaRPboard, Ambarella, Intel EDISON, Ingenic Newton2, Nixie • Most of these systems are realized with scalar sensors • Accelerometers, gyroscopes, temperature, pressure... • NONE has been designed from bottom-up with vision in mind!
  • 7. 7 Project organisation WP1: Project management WP5: Communication, Dissemination & Exploitation Perceptual computing Cloud computing Augmented reality Surveillance WP4: Integration & Demonstration T4.1: Demonstrator 1 T4.2: Demonstrator 2 T4.3: Demonstrator 3 T4.4: Demonstrator 4 WP2: Platform Hardware WP3: Platform Software
  • 8. 8 Demonstrator 1: Surveillance • Application on a peephole allowing the owner to be alerted on his Smartphone with pictures and qualified events: movements, suspicious activities, etc. • Leader: THALES 3. Receive alarms2. Configure1. Attach
  • 9. 9 Demonstrator 2: Augmented reality • Application on a museum audio tour with automatic recognition of paintings in order to provide additional audio information • Leader: Fluxguide
  • 10. 10 Demonstrator 3: Cloud computing • Application of ‘Vision as a Service’ (VaaS) • Ex: “lifelogging” camera • Leader: EVERCAM
  • 11. 11 Demonstrator 4: Perceptual computing • Application on a doll detecting and recognizing child’s emotion in order to react accordingly (with audio feedback) • Leader: nViso
  • 12. 12 Conclusion • Foreseen for September 2016 ‘Computer vision’ connected platform • Foreseen end of 2017 Demonstrators …  An important stake with potential numerous applications!