Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
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Topic(s)
Call for proposal
FP7-SME-2012
See other projects for this call
Funding Scheme
BSG-SME - Research for SMEsCoordinator
05800 HYVINKAA
Finland