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FORENSOR

FOREnsic evidence gathering autonomous seNSOR

Total Cost €

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EC-Contrib. €

0

Partnership

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 FORENSOR project word cloud

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

autonomous    agencies    operate    criminal    evidences    storing    phone    power    resolution    comply    industrial    server    manageable    integrity    concealed    figures    supply    algorithms    conventional    bandwidth    standards    timing    battery    remote    complicated    infrastructure    forensor    privacy    gather    fixated    personal    remotely    hungry    merit    automatically    industry    consume    law    leas    collected    preserve    image    severe    intelligence    quality    video    enforcement    usually    community    cameras    crimes    imaging    farms    validate    sensitive    recorders    surveillance    manpower    extremely    decades    techniques    illumination    locations    forensic    covert    alert    data    hours    ethical    camera    gathering    time    events    profile    consumption    bulky    irrefutable    storage    months    expensive    detection    rarely    backend    miniaturised    protection    ultra    combination    phones    mobile    wireless    fighting    additional    sensor    intelligent    location   

Project "FORENSOR" data sheet

The following table provides information about the project.

Coordinator
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS 

Organization address
address: CHARILAOU THERMI ROAD 6 KM
city: THERMI THESSALONIKI
postcode: 57001
website: www.certh.gr

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 Greece [EL]
 Project website http://forensor-project.eu/
 Total cost 4˙937˙833 €
 EC max contribution 4˙043˙546 € (82%)
 Programme 1. H2020-EU.3.7. (Secure societies - Protecting freedom and security of Europe and its citizens)
 Code Call H2020-FCT-2014
 Funding Scheme IA
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2019-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) coordinator 626˙125.00
2    FONDAZIONE BRUNO KESSLER IT (TRENTO) participant 709˙500.00
3    STMICROELECTRONICS SRL IT (AGRATE BRIANZA) participant 536˙900.00
4    JCP-CONNECT FR (CESSON SEVIGNE) participant 420˙500.00
5    EMZA VISUAL SENSE LTD IL (KAFAR SABA) participant 355˙225.00
6    ALMAVIVA - THE ITALIAN INNOVATION COMPANY SPA IT (ROMA) participant 331˙216.00
7    VRIJE UNIVERSITEIT BRUSSEL BE (BRUSSEL) participant 297˙687.00
8    SYNELIXIS LYSEIS PLIROFORIKIS AUTOMATISMOU & TILEPIKOINONION ANONIMI ETAIRIA EL (CHALKIDA) participant 273˙000.00
9    AYUNTAMIENTO DE VALENCIA ES (VALENCIA) participant 220˙812.00
10    VISIONWARE-SISTEMAS DE INFORMACAO SA PT (PORTO LECA DO BALIO) participant 169˙830.00
11    Ministério da Justiça PT (Lisboa) participant 102˙750.00

Map

 Project objective

Covert evidence gathering has not seen major changes in decades. Law enforcement Agencies (LEAs) are still using conventional, manpower based techniques to gather forensic evidence. Concealed surveillance devices can provide irrefutable evidences, but current video surveillance systems are usually bulky and complicated, are often used as simple video recorders, and require complex, expensive infrastructure to supply power, bandwidth, storage and illumination. Recent years have seen significant advances in the surveillance industry, but these were rarely targeted to forensic applications. The imaging community is fixated on cameras for mobile phones, where the figures of merit are resolution, image quality, and low profile. A mobile phone with its camera on would consume its battery in under two hours. Industrial surveillance cameras are even more power hungry, while intelligent algorithms such as face detection often require extremely high processing power, such as backend server farms, and are not available in conventional surveillance systems.

Here we propose to develop and validate a novel, ultra-low-power, intelligent, miniaturised, low-cost, wireless, autonomous sensor (“FORENSOR”) for evidence gathering. Its ultra-sensitive camera and built-in intelligence will allow it to operate at remote locations, automatically identify pre-defined criminal events, and alert LEAs in real time while providing and storing the relevant video, location and timing evidence. FORENSOR will be able to operate for up to two months with no additional infrastructure. It will be manageable remotely, preserve the availability and the integrity of the collected evidence, and comply with all legal and ethical standards, in particular those related to privacy and personal data protection. The combination of built-in intelligence with ultra-low power consumption could help LEAs take the next step in fighting severe crimes.

 Deliverables

List of deliverables.
Project Management Manual Documents, reports 2019-09-17 12:44:55
Project Website Websites, patent fillings, videos etc. 2019-09-17 12:44:55
Data Management Plan Documents, reports 2019-09-17 12:44:56
Report on Dissemination Activities (Update) Documents, reports 2019-09-17 12:44:56
Project Quality Assurance Manual Documents, reports 2019-09-17 12:44:55
Framework for impact assessment of FORENSOR against DaPPECL requirements Documents, reports 2019-09-17 12:44:56
Report on the data protection, privacy, ethical and criminal law (DaPPECL) frameworks Documents, reports 2019-09-17 12:44:55
1st Workshop Report Documents, reports 2019-09-17 12:44:56
2nd Workshop Report Documents, reports 2019-09-17 12:44:56
The impact assessment report (restricted and public versions) Documents, reports 2019-09-17 12:44:55
Report on Dissemination Activities Documents, reports 2019-09-17 12:44:55

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

 Publications

year authors and title journal last update
List of publications.
2016 I. Böröcz
Risk to the Right to the Protection of Personal Data:
published pages: 467-480, ISSN: 2364-2831, DOI: 10.21552/EDPL/2016/4/6
European Data Protection Law Review 2/4 2019-09-17

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

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