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ULPEC SIGNED

Ultra-Low Power Event-Based Camera

Total Cost €

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EC-Contrib. €

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Partnership

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Project "ULPEC" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE DE BORDEAUX 

Organization address
address: PLACE PEY BERLAND 35
city: BORDEAUX
postcode: 33000
website: www.nouvelle-univ-bordeaux.fr

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 France [FR]
 Project website https://ulpecproject.eu
 Total cost 4˙862˙256 €
 EC max contribution 3˙876˙396 € (80%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DE BORDEAUX FR (BORDEAUX) coordinator 588˙348.00
2    ROBERT BOSCH GMBH DE (GERLINGEN-SCHILLERHOEHE) participant 934˙606.00
3    PROPHESEE FR (PARIS) participant 798˙541.00
4    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 423˙318.00
5    SORBONNE UNIVERSITE FR (PARIS) participant 414˙081.00
6    UNIVERSITEIT TWENTE NL (ENSCHEDE) participant 372˙500.00
7    Twente solid state technology B.V. NL (Enschede) participant 345˙000.00
8    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 0.00
9    IBM RESEARCH GMBH CH (RUESCHLIKON) participant 0.00
10    UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 FR (PARIS) participant 0.00

Map

 Project objective

The long term goal of ULPEC is to develop advanced vision applications with ultra-low power requirements and ultra-low latency. The output of the ULPEC project is a demonstrator connecting a neuromorphic event-based camera to a high speed ultra-low power consumption asynchronous visual data processing system (Spiking Neural Network with memristive synapses). Although ULPEC device aims to reach TRL 4, it is a highly application-oriented project: prospective use cases will be studied and an application roadmap will be developed, by considering interoperability for an integration in “systems of systems” as well as the definition of upper power consumption limits depending on future application. The project consortium therefore includes an industrial end-user (Bosch), which will more particularly investigate autonomous and computer assisted driving. Autonomous and computer assisted driving are indeed a major disruption in the transport and car manufacturing sector. Vision and recognition of traffic event must be computed with very low latency (to improve security) and low power (to accommodate the power limited environment in a car, such as power budget and heat dissipation). Substantial impact on innovation capacity and creation of market opportunities is expected under the ULPEC project: four enterprises (two SMEs) participate to the project. The ULPEC project is an opportunity for European companies such as TSST to increase the competitiveness and increase the global market share in manufacturing tools for complex oxide thin film synthesis. Besides, a compact, low-power vision system based on the technology intended to be developed in this project would generate a distinct competitive advantage over conventional solutions and would clearly boost Chronocam’s market potential. ULPEC is also an opportunity for SMEs to develop stronger collaboration with the industrial leaders involved in the project, such as IBM and Bosch.

 Deliverables

List of deliverables.
Reporting report n°1 Documents, reports 2020-03-20 18:22:18
List of interesting applications Documents, reports 2020-03-20 18:22:18
First ULPEC dissemination and public engagement strategy paper Documents, reports 2020-03-20 18:22:17
Project online presence Websites, patent fillings, videos etc. 2020-03-20 18:22:17
Project management guidelines Documents, reports 2020-03-20 18:22:17

Take a look to the deliverables list in detail:  detailed list of ULPEC deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Michael Pfeiffer, Thomas Pfeil
Deep Learning With Spiking Neurons: Opportunities and Challenges
published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2018.00774
Frontiers in Neuroscience 12 2020-03-20
2018 Luce Chiodelli, Sylvain Saighi
ULPEC,Ultra-Low Power Event-Based Camera, H2020
published pages: 79-81, ISSN: 2398-7073, DOI: 10.21820/23987073.2018.9.79
Impact 2018/9 2020-03-20
2017 Sören Boyn, Julie Grollier, Gwendal Lecerf, Bin Xu, Nicolas Locatelli, Stéphane Fusil, Stéphanie Girod, Cécile Carrétéro, Karin Garcia, Stéphane Xavier, Jean Tomas, Laurent Bellaiche, Manuel Bibes, Agnès Barthélémy, Sylvain Saïghi, Vincent Garcia
Learning through ferroelectric domain dynamics in solid-state synapses
published pages: 14736, ISSN: 2041-1723, DOI: 10.1038/ncomms14736
Nature Communications 8 2020-03-20

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The information about "ULPEC" are provided by the European Opendata Portal: CORDIS opendata.

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