Objective
The increase in urban population lead to an increase in crime. This is aggravated by illegal immigration, criminal striping, degradation of zones. The increase of criminal activity is manifested in an increased frequency of small crimes like graffiti, theft, robbery, destruction of rubbish bins. This has had a big impact for local governments, citizens and businesses.
Local government agencies are trying to solve these problems. As was shown in New York, a reduction in petty crimes increases the sense of public order which produces further reduction in crime in general. These organizations often treat the problem with classical solutions such as increase in police resources, reintegration of offenders, rehabilitation of degraded areas and modern solutions such as urban video surveillance. However, these new technologies are often underused and inadequate.
The SmartPrevent project aims to enhance detection and prevention of crimes in local urban areas by exploiting the full potential of video-surveillance systems. We will develop and provide four important benefits: i) Systematic characterization of usual petty crimes in an area under automatic surveillance; ii) automatic detection of the most usual and frequent criminal activities; iii) a set of automated tools capable of alerting the appropriate responders; and iv) early prevention of crimes by prediction and early detection of crimes.
Rather than providing new methodologies or tools, SmartPrevent will focus on: a) improving already-existing methodologies by means of a set of guidelines for the use of video-surveillance systems; and b) providing a set of tools capable to improve of the existing crime detection systems. Our solution will be validated by deploying a realistic prototype scenario, which will actively involve the detection and prevention for crimes in an urban areas and management of these detections by final users.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine physiotherapy
- social sciences sociology demography human migrations
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SEC-2013-1
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
33428 LLANERA ASTURIAS
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.