The SMAUG project is on a mission to improve and enhance the security of ports and their entrance routes, leveraging the power of Artificial Intelligence (AI), using an integrated system capable of providing data concerning threat detection and analysis between 3 main elements:
Ports security
infrastructure
Advanced underwater
detection systems
Surveillance
vessels
How?
Underwater detection and location will be performed by four primary methods:
Acoustic detection
where a series of hydrophones will listen for sounds
emitted by small underwater vehicles and will be
processed by artificial intelligence meth
Rapid sonar hull scan
used to scan ships' hulls and perform harbour floor
scanning
High-resolution sonar inspection
of objects in water with poor visibility
Collective autonomous location
where a swarm of autonomous underwater vehicles
will act cooperatively
How?
Underwater detection and location will be performed by four primary methods:
Acoustic detection
where a series of hydrophones will listen for sounds
emitted by small underwater vehicles and will be
processed by artificial intelligence meth
Rapid sonar hull scan
used to scan ships' hulls and perform harbour floor
scanning
High-resolution sonar inspection
of objects in water with poor visibility
Collective autonomous location
where a swarm of autonomous underwater vehicles
will act cooperatively
This will provide information to Artificial Intelligence modules, which will improve the way detecting illicit and dangerous goods and/or threats hidden below the water surface is currently done, taking into account sources such as Unmanned Surface Vehicle Systems (USV), underwater remote operation vehicle (ROV), UAV (Aerial autonomous vehicle) and Port current information sources. The combination of these tools will allow SMAUG to prompt solutions capable of detecting possible threats to infrastructure or vessels, as well as identify vessels with concealed goods.
This will provide information to Artificial Intelligence modules, which will improve the way detecting illicit and dangerous goods and/or threats hidden below the water surface is currently done, taking into account sources such as Unmanned Surface Vehicle Systems (USV), underwater remote operation vehicle (ROV), UAV (Aerial autonomous vehicle) and Port current information sources. The combination of these tools will allow SMAUG to prompt solutions capable of detecting possible threats to infrastructure or vessels, as well as identify vessels with concealed goods.
Who?
With a highly experienced consortium consisting of 22 partners across the EU, including Universities, Research Centres,
SMEs, Law Enforcement Agencies, Public authorities, Coastal / Border guards and Private organisations, the SMAUG project
is promising to deliver impactful results capable of detecting potential threats to infrastructure or vessels, as well as
concealed goods.