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PERIVALLON

PERIVALLON

Protecting the European territory from organised environmental crime through intelligent threat detection tools

PERIVALLON aims to provide an improved and comprehensive intelligence picture of organised environmental crime and develop effective and efficient tools and solutions for detecting and preventing such types of criminal activities and for assessing their environmental impact based on geospatial intelligence, remote sensing, scanning, online monitoring, analysis, correlation, risk assessment, and predictive analytics technologies, by leveraging the latest advancements in Artificial Intelligence (AI) in the fields of computer vision and multimodal analytics. As a result, enhanced investigation processes and methodologies will be derived through the capabilities provided by the developed tools and solutions, and the insights obtained though the proposed Environmental Crime Observatory. The capacity of end users (including Police Authorities and Border Guards) will also be improved and will enable them to tackle such criminal activities in an effective manner based on advanced tools and solutions and also on the innovative training curricula developed using physical and/or digital twins of relevant environmental crime scenarios. Moreover, improved international cooperation will be facilitated through improved data sharing enabled by blockchain technologies, while improved regulation shaping and tuning will be supported through relevant policy recommendations. PERIVALLON will be validated in field tests and demonstrations in four operational use cases. Extensive training, hands-on experience, joint exercises, and training material will boost the uptake of PERIVALLON tools and technologies. With a Consortium 5 Police and Border Guard Authorities, 3 authorities related to environmental protection, 6 Research/Academic institutions, 8 industry partners (including seven SMEs), one EU Agency, and one Foundation, PERIVALLON delivers a strong representation of the challenges, requirements and tools to meet its objectives.

Cordis page: https://cordis.europa.eu/project/id/101073952

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OUR WORLDWIDE PARTNERS
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Accu-Waves
A decision support tool for navigation management in ports
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BigDataOcean
Funded under the EU H2020 ICT-14-2016-2017 (Grant Agreement No 732310)
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Safety & Security
CADMUSS – Collision Avoidance Domain-Method Used by Ships and aShore
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Big Data
Pollution
CREXDATA
Critical Action Planning over Extreme-Scale Data
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Machine Learning
Case Study – Forecasting Inland Vessel ETA with Predictive Analytics
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DEDS – Data Engineering for Data Science
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Emissions
EmissionSEA – Extrapolation of emissions from ships
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INFORE
Interactive Extreme Scale Analytics and Forecasting
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Machine Learning
Kiel Trade Indicator - Predicting Global Trade With Artificial Intelligence
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Machine Learning
Safety & Security
LEAS – shore-side decision support for traffic situations with highly automated or autonomous vessels using AI.
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Emissions
Machine Learning
MAREMIS – AI-based calculation of air pollution emitted by ships and its dispersion.
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Routing Network
MERMAID – Maritime Routing Graph based on AIS Data
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MobiSpaces
New data spaces for green mobility
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OPS Master Plan for Spanish Ports
A Master Plan for the supply of electric power to ships at berth in Spanish Ports.
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PERIVALLON
Protecting the European territory from organised environmental crime through intelligent threat detection tools
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Machine Learning
Routing Network
PRESEA – AI-supported traffic forecast to increase maritime safety
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PROMENADE
IMPROVES BORDER AND EXTERNAL SECURITY CAPABILITIES.
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Safety & Security
SEAPEOPLE – Determining the Number of People at Sea
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SELIS
Towards a Shared European Logistics Intelligent Information Space
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VesselAI
Maritime digitalisation
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Pollution
“Flaschenpost” – German Documentary Project - A Field Study on Marine Trash Flows
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