Coordinatore | RDNET OY
Organization address
address: KANKURINKATU 4-6 contact info |
Nazionalità Coordinatore | Finland [FI] |
Totale costo | 1˙872˙562 € |
EC contributo | 1˙342˙000 € |
Programma | FP7-SME
Specific Programme "Capacities": Research for the benefit of SMEs |
Code Call | FP7-SME-2012 |
Funding Scheme | BSG-SME |
Anno di inizio | 2012 |
Periodo (anno-mese-giorno) | 2012-09-01 - 2014-08-31 |
# | ||||
---|---|---|---|---|
1 |
RDNET OY
Organization address
address: KANKURINKATU 4-6 contact info |
FI (HYVINKAA) | coordinator | 450˙420.00 |
2 |
ADVANSEE SARL
Organization address
address: RUE ALFRED KASTLER 9 contact info |
FR (NANTES) | participant | 263˙707.95 |
3 |
XTRUST SRL
Organization address
address: VIA DEI MARSI 67 contact info |
IT (ROMA) | participant | 221˙245.50 |
4 |
VINOTION BV
Organization address
address: HORSTEN 1 contact info |
NL (EINDHOVEN) | participant | 187˙071.75 |
5 |
SECOM SRL
Organization address
address: VIA MONTE CERVINO 5 contact info |
IT (POMEZIA ROMA) | participant | 100˙614.80 |
6 |
INNORANGE
Organization address
address: APOLLONKATU 4 A 4 contact info |
FI (HELSINKI) | participant | 61˙667.00 |
7 |
ISCOM OY
Organization address
address: POHJOLANKATU 20 contact info |
FI (KAJAANI) | participant | 57˙273.00 |
8 |
AIT Austrian Institute of Technology GmbH
Organization address
address: Donau-City-Strasse 1 contact info |
AT (WIEN) | participant | 0.00 |
9 |
TECHNISCHE UNIVERSITEIT EINDHOVEN
Organization address
address: DEN DOLECH 2 contact info |
NL (EINDHOVEN) | participant | 0.00 |
10 |
TEKNOLOGIAN TUTKIMUSKESKUS VTT
Organization address
address: TEKNIIKANTIE 4 A contact info |
FI (ESPOO) | participant | 0.00 |
11 |
Teknologian tutkimuskeskus VTT Oy
Organization address
address: Vuorimiehentie 3 contact info |
FI (Espoo) | participant | 0.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'In D-Sens project (Depth Sensing Systems for People Safety) we will create technologies and applications to increase people safety. We will accomplish this by developing more accurate and robust computer vision (CV) systems, by utilising depth sensor in addition to regular camera. The project will develop novel algorithms for analysing depth sensor information and they will be integrated to a common technology framework. We will validate the framework by developing and piloting applications in domains for smart building, assisted living and security. This way we can exploit the synergies in different domains in the development of the framework. The project results will be a basis for a long term co-operation for the SMEs and the project results will be exploitable globally. SMEs will receive competitive advantage on computer vision technology and application markets as they acquire the knowledge and technology of the new depth sensing deployment in computer vision systems. The main innovations of the project are: -Novel monitoring applications to increase people safety. -Methods for using depth sensing technology in CV mass applications -Common rapid application development framework. -Algorithms for object and human detection, tracking, classification and behaviour analysis. -The SMEs will acquire knowledge on depth sensor technology. -Optimized algorithms for increased system scalability and energy efficiency. -Piloting the developed solutions in real use cases. -The project results will be marketed via a co-operation network. The results of the project can be put into a production in SME’s while the project is still going on. The direct impact to the participating SME is estimated to increase their turnover, revenue, market share and employees. The estimates vary from 25% growth of business up to 300% increase in turnover. The common framework and marketing co-operation network will increase technical and marketing co-operation between the SME participants.'
Powerful new 3D imaging systems that respect privacy are poised to take safety and security in public spaces to new heights. The technology could also be very useful in assisted-living environments.
Cameras play a pivotal role in safety and security, but are limited when it comes to capturing dark corners, estimating distances and interpreting depth, as in the case of occlusions. Cutting-edge technology in visual depth sensing and faster computing power, however, are redefining solutions in this area to create powerful 3D sensor and analysis systems. The EU-funded project 'Depth sensing systems for people safety' (http://www.d-sens.eu (D-SENS)) worked to develop new depth-sensing vision solutions for improved safety and security applications.
Bringing researchers and businesses in this domain together, the project team elaborated multiple depth-sensing vision system solutions which factor out light variations, shadows and are capable of interpreting depth data in terms of meaningful concepts such as an objects, a motion path or a given activity. This combination of high-quality depth and intensity data with modern vision algorithms resulted in reliable real-time demonstrators monitoring human activity, intrusions, motion patterns and various other types of activity.
D-SENS investigated different use-cases, related market potential, the ease of deployment and conducted extensive evaluation experiments to validate and reach the project's goals. Specifically, the project outlined five applications to demonstrate the new vision system's capabilities, in line with the expertise of the small and medium-sized enterprises involved.
Five scenarios were addressed yielding practically relevant solutions in form of a demonstrator. These were detecting and tracking people indoors, detecting intrusions (e.g. around sensitive equipment), and monitoring indoor environments (e.g. for the elderly and children). Surveying crowded environments in terms of abandoned items and their owners for better security (e.g. subways, airports) and assisting tram drivers by depth-aware monitoring of potentially hazardous situations, such as collision hazard with pedestrians and vehicles up to a range of 100 metres were also included.
Project members also worked on knowledge transfer, intellectual property rights issues and relevant training to establish a common understanding across viewpoints of technical and task-oriented nature. At the same time, it considered privacy issues, emphasising that the envisioned system does not involve any biometric or other means of identification that compromise citizen privacy.
From tracking lost objects and pinpointing abnormal human behaviour to managing crowds and supporting traffic management, the novel D-SENS 3D vision technology stands to enhance safety and security in new, innovative ways.
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