The LASIE project aims to design and implement an open and expandable framework supporting analysts in handling and analysing huge amounts of heterogeneous forensic data. LASIE will significantly increase the efficiency of current investigation practices, by providing automated analysis of forensic data acquired from a variety of different sources, including CCTV surveillance content, confiscated desktops and hard disks, mobile devices, Internet, social networks, handwritten and calligraphic documents.
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The DANTE project aims to deliver more effective, efficient, automated data mining and analytics solutions and an integrated system to detect, retrieve, collect and analyse huge amount of heterogeneous and complex multimedia and multi-language terrorist-related contents, from both the Surface and the Deep Web, including Dark nets.
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ASGARD aims to create LEA Technological Autonomy, by building a sustainable, long-lasting community form the LEA and research and development industry that will created (at little or no cost to LEAs), maintaining and evolving a best of class tool set for the extraction, fusion, exchange and analysis of Big Data including cyber-offenses data for forensic investigation. ASGARD will help LEAs significantly increase capabilities. With forensics being a focus of the project, both intelligence and foresight dimensions will also be tackled by ASGARD.
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The FORENSOR project aims to develop a novel, ultra-low-power, intelligent, miniaturised, low-cost, wireless, autonomous sensor (“FORENSOR”) for evidence gathering. The combination of built-in intelligence with ultra-low power consumption will make this device a true breakthrough for combating crime.
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