Question 1

What is SEA.AI Security?

Accepted Answer

SEA.AI Security is the defence and homeland-security edition of SEA.AI. It delivers AI machine-vision cameras and onboard perception software for navies, coast guards, port authorities and critical-infrastructure operators who need to detect threats at sea that radar and AIS cannot reliably see.

Question 2

What can machine vision detect that radar and AIS miss?

Accepted Answer

Radar sees reflective targets; it struggles with small, low-radar-cross-section objects such as RHIBs, jet-skis, swimmers, semi-submerged objects and unmanned surface vessels (USVs). Machine vision uses thermal and visible-light imagery combined with neural networks to detect, classify and track these non-cooperative or dark targets. Because all processing runs at the edge, the system operates without GPS or GNSS, making it fully independent from GNSS spoofing and jamming. The two sensor families are complementary: machine vision closes the gap that radar cannot cover.

Question 3

Can SEA.AI run on an uncrewed surface vessel (USV)?

Accepted Answer

Yes. SEA.AI is deployed as a perception payload on crewed and uncrewed platforms. Processing is performed at the edge, onboard the vessel, so the system continues to work in denied or degraded-communications environments. When satcom is lost or jammed, the autonomy layer sustains mission execution, allowing the USV to complete its tasking and return data upon re-establishing contact.

Question 4

Does SEA.AI integrate with existing combat management systems?

Accepted Answer

Yes. Detections are published as standard tracks that can be fused into combat management systems, maritime domain awareness platforms and C4ISR networks, alongside radar, AIS, ADS-B and sonar feeds.

Question 5

What threats can SEA.AI detect?

Accepted Answer

Non-cooperative vessels, small boats such as RHIBs and fast intercept craft, swimmers and divers near sensitive assets, floating containers and debris, and unmanned surface and aerial vehicles. Rule-based zone alerting triggers notifications when detected objects enter or approach defined perimeters. Detection classes are tunable per custom deployment profile.