System for Detection of Threat Agentsin Maritime Border Environment
System for Detection of Threat Agentsin Maritime Border Environment
WHO DEVELOPS THE SAFESHORE PROJECT?
a. Stationary detection point: b. Stationary chain-of-detectors along high-risk border areas
Border protectionorganizations
Criticalinfrastructureoperators
Lawenforcementagencies
Administrators of environmental protected areas
Governmentofficials protection organizations
Public andsports eventsorganizers
c. Mobile deployable system in areas where intelligence predicts higher volume of illegal or threatening activities
• in harbour areas, at river border crossing, to detect remote delivery of explosives or chemical weapons, and border trafficking of drugs
• for coast radars, to detect remote delivery of explosive charges
WHAT IS SAFESHORE?
SafeShore is a system developed to detect threat agents in maritime border environment: low altitude drones and their remote control equipment, small vessels coming to shore, humans emerging from the sea. It was designed to be affordable, easily deployable in border surveillance and incorporating low cost and green technologies, with reduced impact on the environment.
THE SAFESHORE SYSTEM CAN BE USED AS:
WHO ARE THE BENEFICIARIES OF THE SAFESHORE PROJECT?
WHAT TECHNOLOGIES DOES SAFESHORE USE?
SafeShore develops a system that integrates multiple commercially available detection technologies to ensure the detection of low-altitude flying drones and small boats.
• Laser ranging (LIDAR) detection• Passive acoustic detection• Visible and thermal CCTV target classification• Passive radio communication detection
FIXED SYSTEM DEPLOYABLE SYSTEM
Acoustic Sensors Acoustic Sensors
Acoustic Sensors Acoustic SensorsAcoustic Sensors Acoustic Sensors
LIDAR
CCTV CCTV
LIDAR
Radio Monitoring Radio Monitoring
Academia Partners Country ContributionRoyal Military Academy of Belgium Belgium Consortium coordinator, passive radio detectionQueen Mary University of London UK Video analyticsUniversity of Salento Italy Analysis and data fusion
Industry Partners Country ContributionDr. Frucht Systems Ltd. Israel Laser detection systems and algorithmsUTI Grup Romania Video analytics, data fusion, GIS & C2TG Drives Czech Republic Laser detection systems platformOptix Bulgaria Visible & thermal camera systems
End User Partners Country ContributionThe Protection and Guard Service Romania Field trial of the system (Black Sea)Romanian Border Police Romania Field trial of the system (Black Sea)Ministry of Public Security Israel Field trial of the system (Mediteranean Sea)Police Region West Coast Belgium Field trial of the system (North Sea)
Research Partners Country ContributionInstitute of Optoelectronics Romania Visible & thermal camera systems
UTI CONTRIBUTION TO THE SAFE SHORE PROJECT
SafeShore is a system developed to detect threat agents in maritime border environment: low altitude drones and their remote control equipment, small vessels coming to shore, humans emerging from the sea. It was designed to be affordable, easily deployable in border surveillance and incorporating low cost and green technologies, with reduced impact on the environment.
VIDEO ANALYTICS
Video analytics engine
Scenarios and decision support module development
C2 server, interfaces and GUI developmentData fusion engine development
GIS platform development
Our objective is to develop and implement innovative video analytics algorithms, create data fusion algorithms for multimodal detection and tracking of RPAS and develop the appropriate command and control engine and interface.
By developing a video analytics engine for the detection of threat agents in maritime boarder environment, the beneficiary will be able to check the target validity and generate alarms with the command and control centre.
SafeShore integrates different cutting-edge technologies & security systems into a unitary “system of systems”, capable to satisfy, at affordable costs, the maritime border security requirements. Non-intrusive topology, smarter design and better algorithms help avoiding over-complication, maximizing the accuracy. The solutions also enhances security by unifying all information into a centralized platform that increases significantly effectiveness by using fewer resources.
BENEFITS:
UTI TASKS:
Our company will create specifications of a prototype software solution specific for the maritime border protection scenario.
The SafeShore project philosophy is to integrate data and knowledge gathered by using different technologies & sources such as Lidar, Acoustic and Video analytics. Therefore, our experts will develop a data fusion engine: takes the outputs from sensor data processing components and uses them (aggregates) to make a unitary decision.
The UTI project team develops a GIS database and a graphic representation engine based on open-source software components. This will generate a representation of all the system elements, emphasizing their actual location and the detection characteristics, as well as the detected targets.
The GIS platform also provides the framework that integrates other real data collected form external systems.
Early warning on potentially unauthorised incidents
Define, based on end-user know-how, the operational procedures and scenarios
Development of the server modules to allow both horizontal and vertical integration
Development of a single graphical user interface for complete system operation
Development of the server modules for communication with each detection sub-system and other system modules
Development of a GIS module
Develop and implement a special software module, scenarios and decision support, based on a military approach
Maximum situational awarness
Accurate and robust automatic data processing with a low false alarm rates
DRONE DETECTION DEVICE
START START
RECEIVE SOUND SIGNAL Receive a feature frequency spectrum
Determine wasserstein metrics by comparing the feature frequency
spectrum to drone sound signature
Select closest drone sound signatures having the lowest wasserstein metrics
Determine a drone class of each of the drone sound signatures
Apply classification hit
Transmit alert
Indicate the appropriate drone sound signatures are false signatures
RECORD A SOUND SAMPLE FROM THE SOUND SIGNAL
DIGITIZE THE SOUND SAMPLE
PARTITION THE DIGITIZED SOUND SAMPLE INTO EQUAL SEGMENTS
CONVERT EACH SEGMENT INTO A FREQUENCY AMPLITUDE VECTOR
SMOOTH EACH OF THE FREQUENCY AMPLITUDE VECTORS
APPLY A BANDPASS FILTER TO THE FREQUENCY AMPLITUTE VECTORS
FORM A COMPOSITE FREQUENCY VECTOR
NORMALIZE THE COMPOSITE FREQUENCY VECTOR
APPLY LOCALIZED BACKGROUND SPECTRUM
TRANSMITVECTOR
DRONE SOUND SIGNATURE?
SAME DRONE CLASS?
CLASSIFICATIONHITS
RECEIVEFEEDBACK
YES
YES
YES
YES
NO
ACOUSTIC SENSING PLATFORM DEVELOPMENT
• The acoustic platform is designed to detect, locate and classify RPAS targets within its detection range.
• Audio signal analysis• It consists of a microphone array (tetrahedral or other configuration), a
signal conditioned module, a signal acquisition module for A/D conversion and the processing software.
• The detection software covers the blocks in the flow diagram next page:
Audio Pattern RecognitionThe results obtained under the following circumstances:
Distance: 250 metersAltitude: 10 metersUAV model: OctocopterType of classificatio: medium
NO
NO
NO
project website safeshore.eu
facebook page facebook.com/SafeShore.EU
twitter account twitter.com/SafeShore_EU
linkedIn profile linkedin.com/in/safeshore