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Ultra-Low Power Event-Based Camera

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.
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Coordinator

UNIVERSITE DE BORDEAUX

Address

Place Pey Berland 35
33000 Bordeaux

France

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 588 348,75

Participants (9)

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CHRONOCAM SAS

France

EU Contribution

€ 798 541,25

IBM RESEARCH GMBH

Switzerland

ROBERT BOSCH GMBH

Germany

EU Contribution

€ 934 606,25

UNIVERSITEIT TWENTE

Netherlands

EU Contribution

€ 372 500

UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6

France

SORBONNE UNIVERSITE

France

EU Contribution

€ 414 081

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 423 318,75

Twente solid state technology B.V.

Netherlands

EU Contribution

€ 345 000

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Switzerland

Project information

Grant agreement ID: 732642

Status

Ongoing project

  • Start date

    1 January 2017

  • End date

    31 December 2020

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 4 862 256,25

  • EU contribution

    € 3 876 396

Coordinated by:

UNIVERSITE DE BORDEAUX

France