Ongoing border security related EU funded projects (FP7)


Early Warning for Increased Situational Awareness



Timeline: 2014-09-01 to 2018-06-30



Center for Security Studies (KEMEA)
P. Kanellopoulou 4, Athens,
GR-10177, Greece


Short description

Pre-Operational Validation (POV) on land borders. It is aimed to promote further cooperation between public authorities as the end-users on developing new solutions to improve the quality and efficiency of public services related to security issues on topics of common European interest. The threats which are subject to analysis in this project are the following: a) illegal migration, b) smuggling, c) trafficking in drugs and forbidden materials, d) trafficking in weapons.

The project will provide not only the assessment of a stand-alone technology, but also assessment of the integration into current surveillance infrastructure of the new capabilities provided by the industry.

The objective is to increase intelligence in video surveillance. The approach is a process like entity, which consists of:

Camera-specific processes;

A modular implementation of successive analysis layers, which is applied for optimal situational awareness: chaining, motion, figure, face;

In addition to the camera's processing capabilities, the network consists of: sensors, network analysis and system for control room.



Smart UNmanned  aerial vehicle sensor Network for detectionof border crossing and illegal entry



Timeline: 2014-01-01 to 2017-06-30 (extended to 2018)



BMT Group Ltd, UK


Short description:

The project aims at defining a new tool for collecting real-time information in operational scenarios.

Main features:

A two-tier intelligent heterogeneous UAV sensor network will be considered in order to provide both large field and focused surveillance capabilities, where the first-tier sensors, carried by medium altitude, long-endurance autonomous UAVs, are used to patrol large border areas to detect suspicious targets and provide global situation awareness. Fed with the information collected by the first-tier sensors, the second-tier sensors will be deployed to provide more focused surveillance capability by tracking the targets and collecting further evidence for more accurate target recognition and threat evaluation. Novel algorithms will be developed to analyse the data collected by the sensors for robust and accurate target identification and event detection;

Novel sensors and on-board processing generation, integrated on UAV system, will be focus on low weight, low cost, high resolution that can operate under variable conditions such as darkness, snow, and rain. In particular, SUNNY will develop sensors that generate both RGB image, Near Infrared (NIR) image and hyperspectral image and that use radar information to detect, discriminate and track objects of interest inside complex environment, over land and sea. Alloying to couple sensor processing and preliminary detection results (on-board) with local UAV control, leading to innovative active sensing techniques, replacing low level sensor data communication by a higher abstraction level of information communication;

The exploitation and adaptation of emerging standard wireless technologies and architectures as IEEE 802.11a/g/n, IEEE 802.11p, DVB-T2, Mobile WiMAX, LTE, and Wi-Fi@700MHz will be considered due to their low cost and advantageous features.