OIL & GAS
Offshore Platform Surveillance
Offshore Platform Surveillance. What it takes to run it.
24/7 visual monitoring of remote sea-based assets.
// 01 · The question
“Is anything happening out there that needs a person to look?”
// 02 · Why it is hard
Bandwidth off the platform is limited and expensive, so the model usually has to run at the edge on compressed video, against a background of moving water that never repeats.
// 03 · What the labels have to be
Bounding box
Decided before the first frame
The job is triage: pull the handful of frames worth human attention out of a continuous feed. Presence and rough location are enough to make that call, and anything more precise is effort spent on frames that get discarded.
This is the decision that is expensive to reverse. The geometry has to match what the answer contains, and finding out it does not means labelling the set a second time.
// 04 · How we run it
Three parts of one loop, on this job.
LexAnnotate
Precision Safety
Annotate rig images with bounding boxes for machinery, valves, flanges, and personnel with PPE classification. Safety-focused labels tailored to oil & gas operations. 12k+ hazardous-zone annotations in production deployments.
LexInsight
Corrosion Tracker
Link visual detections to asset management systems. Map corrosion to specific valve IDs, track progression across inspection cycles, connect to maintenance scheduling and compliance codes.
LexAlert
Safety Alerts
Monitor deployed safety models against environmental changes - weather, lighting, equipment repositioning. Detect drift before it causes a missed hazard. Route failures back for immediate retraining.
// 05 · What breaks it after launch
Sea state, fog and night are not edge cases offshore, they are most of the year. A model validated on clear-day footage has been evaluated on the conditions under which surveillance matters least.
It is not the only one that can get this use case, it is the one that usually gets it first. All ten conditions.
// 06 · In oil & gas
Hazardous Zone Monitoring
The Challenge
Lacked labeled rig imagery, delaying AI model training. Relied on manual monitoring in hazardous zones.
Our Execution
Annotated rig images with bounding boxes for machinery and personnel. Delivered precise, safety-focused labels.
The Result
Faster AI deployment with rapid model iteration. Improved safety through automated detection.
12k+
Precision image annotations delivered