The LASIE project has received funding by way of a grant from the European Union’s Seventh Framework Programme for research, technological development and demonstration, and involved ASIC plus various other major players with both technological and security & surveillance backgrounds including, the Technical University of Berlin, Huawei, United Technologies, the Metropolitan Police, the Madrid Police and Visionware.

LASIE or Large Scale Information Exploitation of forensic data, will provide new tools, techniques, processes and procedures to support investigators and analysts in their daily work also considering the legal, ethical and privacy issues. Moreover the LASIE framework will respect privacy and ethical issues by design with consequent increase of the public acceptance of a next generation security system.

The LASIE framework intends performing inferences based on evidence extracted from available data (text, images, video, audio and biometric information in multiple formats), guiding the investigation procedures through the incorporation of recommendation functionality and interacting with the user through an efficient and user-friendly interface.

The increased effectiveness of LASIE as an investigation system will have a positive impact not only on the actual level of security but also on how security is socially perceived resulting in an improved daily quality of life especially in the social environment.

LASIE will develop appropriate (semi-) automatic tools for facilitating the analysts in their investigation activities. Such added value represents LASIE’s Unique Selling Proposition in the forensic sector. This will satisfy the products and services demand in forensic investigations which is increasing year after year.

The project will create innovative tools integrated into an open source environment, to support the optimal management of diverse data source. Furthermore, by relying on standards and by choosing an open source adoption model LASIE will aim to maximise the social and economic return.