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Underwater Cam | Submersible AI‑Ready Camera
Underwater Cam is a submersible, pressure‑rated camera engineered to deliver continuous underwater visibility for aquaculture, marine research, and industrial applications. Built for long‑term deployment, it provides stable, high‑definition imaging in dynamic and often harsh subsurface conditions.
Its IP68‑rated, gas‑purged housing protects internal components from water ingress and humidity while managing pressure across operational depths. Constructed with marine‑grade materials, Underwater Cam is designed for reliability in demanding, low‑maintenance installations. By combining continuous imaging with edge‑based AI capabilities, Underwater Cam eliminates the need for divers or costly ROV surveys, giving operators real‑time underwater intelligence that improves efficiency, welfare monitoring, and site performance.
From the surface you guess, underwater you know. Put eyes where the divers go with live subsea video that shows how your stock and sites are really performing.
From the surface you guess, underwater you know. Put eyes where the divers go with live subsea video that shows how your stock and sites are really performing.
When connected to an AI hub or integrated edge processor, Underwater Cam becomes a powerful smart sensing node capable of local event detection and behavioural analytics. On‑edge AI processing supports applications such as:
Stock density estimation and movement tracking
Feeding rate and fish behaviour analysis
Biofouling detection and cleaning‑cycle optimization
Net and gear inspection, damage identification, and maintenance logging
Optional Wiper Accessory
For environments with high biofouling or sediment buildup, an optional wiper system with mounting bracket is available for the Underwater Cam. This accessory helps maintain a clear lens surface for longer periods, reducing maintenance frequency and ensuring consistent image quality between cleaning intervals. The wiper integrates cleanly with the camera housing and can be operated manually or through remote control when paired with an AI or monitoring hub.
Underwater camera systems with machine vision and edge based artificial intelligence turn submerged video into continuous, quantitative information streams that directly support data dissemination and decision making tools.
From underwater imagery to signals
From underwater imagery to signals
Submerged cameras mounted on gear, moorings or mobile platforms can capture video of stock, biofouling and the surrounding water column in and around aquaculture sites. These views reveal conditions and behaviours that conventional probes cannot measure, such as changes in stocking density, predator presence, fouling build up, turbidity and interactions between gear and the environment. Instead of simply archiving raw video, edge based artificial intelligence models process the imagery close to the camera to extract useful signals in near real time.
Machine vision and edge artificial intelligence underwater
Machine vision and edge artificial intelligence underwater
Machine vision models are trained to recognise and track underwater objects of interest, gear elements and fouling or debris. They can potentially estimate counts and size distributions, infer biomass changes over time and flag abnormal patterns in behaviour or water clarity. Running these models on edge devices reduces bandwidth by sending compact summaries, detections and metrics rather than full video streams back to the cloud. Each detection can be time stamped and linked to its location and local sensor readings, creating a detailed underwater event record aligned with environmental data.
Dashboards, timelines and alerts
Dashboards, timelines and alerts
In the dissemination layer, outputs from the underwater camera system can be presented alongside water quality and operational data in dashboards and time lines. Users can step through time and see how underwater conditions and animal responses changed around key events, such as heat waves, low oxygen periods or maintenance interventions. Rules and thresholds can trigger alerts when underwater vision detects issues such as rapid fouling growth, elevated turbidity, unusual behaviour or declining apparent biomass, prompting early investigation and action.
Better decisions and underwater audit trails
Better decisions and underwater audit trails
By integrating machine vision and edge artificial intelligence from underwater cameras into the same tools as other monitoring streams, farm teams gain a much richer picture of cause and effect below the surface. They can tie performance, health and welfare outcomes back to specific environmental conditions and husbandry actions, refine feeding and cleaning strategies and document underwater conditions for compliance and reporting. Over time, the combined sensor and vision record forms an underwater audit trail that supports traceability, risk management and continuous improvement in farm operations.
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