ShipIn CEO: Shipping Has Mastered Vessel Data — But What Happens Onboard Is Still Guesswork

Osher Perry, CEO of visual intelligence firm ShipIn Systems, has made an argument that should make every technical superintendent and fleet manager uncomfortable: the maritime industry has invested heavily in optimising what it can measure about vessels — fuel efficiency, emissions, predictive maintenance, engine performance — but what actually happens onboard ships on a day-to-day basis remains largely invisible. The specific operations Perry identifies as the blind spot are not edge cases — they are core to safe commercial operations: navigation watchkeeping, engineering rounds, mooring procedures, bunkering operations, and cargo handling. Across all of these, processes are still recorded manually, documentation is completed after the fact, and review happens only once something goes wrong. The result is a fundamental disconnect between the data-rich world of shore-side fleet management platforms and the operationally opaque reality of what crew actually do during a voyage. The IMO dimension: This is not just a commercial observation. The IMO's HTW 12 sub-committee — which focuses on seafarer training, watchkeeping, and human element standards — has recently highlighted seafarer fatigue and cognitive load as critical risk factors. The irony Perry points to is that the same digitisation drive which generates fuel and emissions data for shore managers can actually increase onboard cognitive burden when it results in more reporting requirements rather than genuine decision support. The AI co-pilot framing: Perry is explicit that the answer is not more monitoring for monitoring's sake. "AI can act as a co-pilot, amplifying human expertise and helping teams operate more safely and efficiently" — but only if the systems are designed to fill operational gaps rather than just add data streams. ShipIn's own platform uses computer vision to provide continuous visual intelligence from onboard cameras, making actual crew activities visible to shore teams in real time rather than through post-event reports. For ship managers, this is a pointed challenge: if your digital strategy has focused on vessel performance data but has not addressed what happens at the operational level during a watch, a port call, or a cargo operation, your safety picture has a significant blind spot that neither traditional incident reporting nor current AI tools are filling. [Splash247]

This story is part of the Maritime AI Digest of 12 April 2026.

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