Subsea ROV Inspection AI
Review every hour of underwater ROV video automatically, flagging free spans, exposure, coating damage, anode depletion, and debris on pipelines, risers, and subsea cables.
Subsea ROV Inspection AI for the Toughest Pipeline, Riser, Cable, and Offshore Structure Surveys
Deploy Anywhere, Run Everywhere
Run subsea ROV inspection on the survey vessel at the edge, fully offline for long campaigns, or onshore, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every integrity and survey team can adopt, from integrity engineers and survey data processors to ROV supervisors, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA, with image-backed anomaly records that support DNV-RP-F116 integrity management programs.
- Free Span Detection
- Burial, Exposure & Scour
- Coating Damage & Field Joints
- Anode Depletion & Condition
- Marine Growth Coverage
- Debris, Anchor & Trawl Damage
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”
Travis Turnbull
Vice President & CIO, Pella Corporation
Talk to a Vision AI engineer who's shipped in energy and offshore.
Bring us your toughest subsea inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits your DNV-RP-F116 integrity program, survey specs, and eventing workflow
- A live demo on your own ROV or AUV survey footage
- Deployment options: edge on the survey vessel, offline, on-prem, air-gapped, or VPC
- ROI modeling against video review hours, vessel days, report turnaround, and missed anomalies
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality
Review Every Kilometer of Survey Video, from the Landfall to the Wellhead
Add an automated review layer to every subsea survey with Roboflow vision AI for subsea ROV inspection. Built for pipeline, riser, and subsea cable programs where a single campaign produces hundreds of hours of video, every anomaly has to be found and logged against its kilometer point (KP), and the review often finishes weeks after the vessel leaves the field.
Pipelines and risers:
- Detect free spans where the pipe lifts off the seabed, and sections that are buried, exposed, or undermined by scour, with a model trained on your own survey footage.
- Find coating damage, field joint defects, dents, and signs of buckling on pipelines and risers, and grade visible corrosion where coating has failed.
- Combine video detections with the sonar and laser data your survey already captures, so a flagged span or dent comes with its measured length or depth.
Cathodic protection, growth, and third-party damage:
- Flag depleted, damaged, and missing anodes, so cathodic protection follow-up goes to the right locations.
- Estimate marine growth coverage on pipelines, risers, and structures, and mark where cleaning is needed before contact inspection.
- Detect debris, dropped objects, fishing gear, and anchor or trawl scars near the asset.
Subsea cables and offshore structures:
- Track exposure and burial along power and telecom export and array cables, and find damaged protection such as mattresses, rock cover, and bend restrictors.
- Inspect jackets, manifolds, mooring components, and offshore wind foundations, alongside wind turbine inspection above the waterline.
- Log every anomaly with KP, timestamp, frame, and confidence, so data processors start from a ranked list instead of re-watching every hour of footage.
Bring intelligence to every subsea survey today. Get the anomaly list while the vessel is still on location, not weeks after it leaves.
Frequently asked questions
What is subsea ROV inspection with Vision AI?
Subsea ROV inspection with Vision AI runs a trained computer vision model over the video from ROVs and AUVs to find and log anomalies on subsea pipelines, risers, cables, and structures: free spans, burial and exposure, coating damage, anode condition, marine growth, and debris. Every finding is tied to a KP and a frame. It extends computer vision in oil and gas below the waterline.
Does it work on murky, low-visibility footage?
Yes. Models are trained on your own survey video, so turbid water, backscatter from ROV lights, silt clouds, and changing camera angles become training data. The model learns your assets, coatings, and seabed conditions.
Does it support DNV-RP-F116 and our integrity management program?
Yes. DNV-RP-F116 (DNV's recommended practice for integrity management of submarine pipeline systems) sets out how operators plan inspections and act on what they find. Vision AI gives that program a consistent, image-backed anomaly record for every survey, so findings can be compared campaign to campaign. Roboflow serves as the detection engine, and your integrity engineers own the anomaly categories, acceptance criteria, and every repair decision.
Can it integrate with our eventing software, GIS, and integrity database?
Yes. Roboflow sends anomalies, KP, frames, and confidence over REST, MQTT, or OPC UA, or writes them to a database or export file, so they flow into eventing software, GIS, and integrity management systems. Models can run offline on the vessel and sync results when a connection is available.