Detection of people attempting to enter illegally

Research
Status: 
finished
Brief description: 

The project aims to deliver to border authorities more efficient technological equipment that provides higher security level of identity and luggage control of pedestrians and passengers inside vehicles, at land and maritime checkpoints.

Development
Status: 
finished
Brief description: 

The concept of the SNIFFLES project is to develop a miniature and portable electronic gas sensor capable of detecting hidden persons and illegal substances - providing a cost effective and scalable technology to complement the work of sniffer dogs. The technology will complement trained sniffer dogs.

Development
Status: 
finished
Brief description: 

To develop and field test the innovative concept of a mobile, modular, scalable, autonomous and adaptive system for protecting European borders

Research
Status: 
planned
Brief description: 
CONTAIN will specify and demonstrate a European Shipping Containers Surveillance system which will encompass regulatory, policy and standardisation recommendations, new business models and advanced container security management capabilities.
Research
Status: 
finished
Brief description: 

The goal of this project is to elaborate an open architecture for the operation of unmanned air-to-ground wide area land and sea border surveillance platforms in Europe.

Research
Status: 
finished
Brief description: 

Developing innovative technological solutions to increase airborne maritime surveillance efficiency while reducing costs.

Research
Status: 
finished
Brief description: 

AMASS comprises a network of platforms (buoys) located at distance from shore. Each platform is fitted with sensors and operates self-sufficiently.

Development
Status: 
finished
Brief description: 

The Small Dark Aircraft project is focused on developing capabilities to find small aircraft that are suspected of carrying illicit goods into the U.S.

Development
Status: 
finished
Brief description: 

The S&T program goal is to develop reliable algorithms to clas-sify targets crossing the buried tripwire without the use of im-agers. The buried tripwire can detect low flying aircraft, ve-hicles, all-terrain vehicles and animal activity as well as personnel.

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