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ProbSenS

Probabilistic neuromorphic architecture for real-time Sensor fusion applied to Smart, water quality monitoring systems

Total Cost €

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EC-Contrib. €

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Partnership

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 ProbSenS project word cloud

Explore the words cloud of the ProbSenS project. It provides you a very rough idea of what is the project "ProbSenS" about.

prototype    scenarios    confidence    solid    architecture    dependent    accelerate    security    care    optical    pollutants    smarter    biological    combine    circuits    solution    cmos    final    bioinspired    principles    unlabelled    perceptual    noisy    smart    integration    exploits    drifts    probsens    processors    microsensors    water    context    modern    electrochemical    investigation    latency    constraints    time    vlsi    models    validated    nonlinear    units    fusion    extended    diagnosis    critical    line    varied    benchmark    computational    lack    spain    health    deep    ultra    powerful    implementations    computing    promptly    probabilistic    company    unexplored    smaller    multisensory    agbar    true    quick    multiple    multidisciplinary    sensor    network    multivariate    uncontrolled    infancy    signals    acquired    adaptive    suited    generative    monitoring    power    coverage    technologies    functional    hardware    neural    transducers    mostly    supplied    free    paradigm    data    broaden    multisensor    societal    world    gdnn    detectors    sensors    infer    tolerant    environmental    dynamic    learning    self    amenable    outcome    realise    event    calibration    generate    gdnns   

Project "ProbSenS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT ZURICH 

Organization address
address: RAMISTRASSE 71
city: ZURICH
postcode: 8006
website: n.a.

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 Switzerland [CH]
 Project website http://sensors.ini.uzh.ch/home.html
 Total cost 175˙419 €
 EC max contribution 175˙419 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2019-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT ZURICH CH (ZURICH) coordinator 175˙419.00

Map

 Project objective

“ProbSenS” will develop a novel low-power event-driven probabilistic Very Large-Scale Integration (VLSI) architecture for real-time, adaptive and robust multisensor integration. Multisensor integration exploits the extended coverage of multiple detectors to increase perceptual confidence in Smart Systems, but embedded implementations are yet in their infancy due to the lack of hardware able to infer from the multivariate, nonlinear, time-dependent and noisy signals supplied by modern sensors. By using principles of how biological systems promptly combine multisensory information and generate meaningful features in dynamic and uncontrolled real-world conditions, bioinspired Generative Deep Neural Network (GDNN) models are emerging as a powerful, CMOS-amenable computing paradigm to accelerate sensor fusion and enable quick, reliable self-learning and context-awareness under these constraints. This project aims to develop such technology into a smaller, smarter, calibration-free multisensor solution, tolerant to sensor drifts and suited to process low-latency data from a varied set of solid-state transducers in critical real-world monitoring/diagnosis scenarios where information is acquired on-line and mostly unlabelled, e.g. security, health and environmental care. ”ProbSenS” will broaden state-of-the-art insight in the following multidisciplinary areas: (i) The modelling of GDNNs as probabilistic processors for adaptive event-based sensor fusion in Smart Systems; (ii) the investigation of novel ultra-low-power VLSI circuits to realise their computational units in low-cost CMOS technologies; (iii) the yet unexplored event-driven fusion of electrochemical and optical microsensors using a GDNN; and (iv) the benchmark of this technology in a true EU societal challenge: the real-time monitoring of water pollutants. The final outcome will be a functional working prototype of the GDNN validated in the field together with Agbar, the largest water management company in Spain.

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

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