The rapid ongoing rise in the global surveillance and
security market is beset by a number of problems:
fragmented surveillance systems, lack of information-sharing
on standards, agreements, policies or
processes, the difficulty of detecting small vessels used
for illegal purposes or in extreme weather conditions,
uncoordinated and diverse sensor data, and the
unpredictable and constantly changing behaviour of
suspicious vessels. The challenge faced by RECONSURVE
was to develop an open interoperable maritime
surveillance framework that can enable existing systems
to share information and so improve maritime security.
The project developed a complete maritime surveillance
system with situational awareness, smart sensor data
processing, the ability to use several platforms with a
variety of sensor types and advanced algorithm-based
capabilities for unmanned aerial vehicles (UAVs) and
thermal cameras. Algorithms were developed for vessel
recognition integrated in a ground station for small boat
detection, vessel classification and behaviour analysis,
including threat assessment.
Innovation is evident in the actual integration of
multimodal sensors (including UAVs) for global maritime
surveillance and situational awareness, and in the
development of natural human-machine interfaces for
managing complex command and control systems along
with a complete smart system to support command & control centres.
The technical capabilities were demonstrated in two
scenarios. First, at the Turkish Coast Guard Command
facilities in Antalya, Turkey, vessels revealing suspicious
behaviour were detected successfully by the situational
awareness component of the RECONSURVE system. A
second large live demonstration was performed in Brest,
France, with the participation of the French Coastguard.
Aselsan has improved its current portfolio with new
features and capabilities, situational awareness capability
and a new smart decision support functionality based
on image processing and behavioural analysis. The main
exploitation of the situational awareness and vessel
classification component is planned for 2018-2020 with
the Turkish Coastguard and Turkish Navy.
Being its first maritime surveillance project, RECONSURVE
directed SRDC to this new market and encouraged
the company to develop its Plug-and-Play Sensor
Interoperability Platform, and increase its product
portfolio. Currently, SRDC is starting marketing activities
for this product.
The automation of the identification and classification
data chain, developed in the context of the RECONSURVE
project, has now been implemented in the AIRBUS RPAS
and light mission aircraft for maritime surveillance
missions. According to customer requirements, the
architecture of the ground station can be customised to
integrate internal or external algorithms for ship detection
and classification; cooperation with Evitech and GREYC
could be reinforced during future projects.
Evitech has sold several licences of the auto-tracking
algorithm for military site surveillance. Evitech is proposing
to reuse and improve the RECONSURVE algorithms in a
joint project with Airbus. Evitech has also established a
longer term cooperation with GREYC and will start a new
project with them in 2018.
The French naval academy (École Navale) has exploited
research in the detection of suspicious behaviour and
maritime situational awareness into a large more generic
approach that also considers cyber-attacks that affect
maritime operational surveillance.
After RECONSURVE, GMT is expanding products and
solutions for the ship safety and security authorities by
improving vessel navigation pattern analysis and collision
risk analysis capabilities based on information gathered
from the operating systems. In addition, the improved
artificial intelligence algorithm has been applied to the
SMART-Navigation system of the Ministry of Maritime
Affairs and Fisheries in Korea, to comprehensively analyse
and monitor the maritime risk situation. Furthermore, GMT
is supplying the RECONSURVE results to the Korea Coast
Guard by providing a solution for managing automatic
entry and departure of fishing vessels, responding to
distress incidents, and the monitoring of illegal fishing.