Inspection of oil and gas infrastructure
- Data processing
- a week → 1 hour
- the report is ready at base
Task: inspect routes and facilities from a helicopter without processing terabytes of video by hand after the flight.
Results
- a week → 1 h
- to process the data
- 3 → 1
- people in the process
- 0
- operators on board
The report exists on landing
It is produced during the flight rather than a week after it
Inspection without an operator
Vision on the chip runs the survey itself, and the crew shrank from three to one
- Equipment — a valve stationGroundingDINO / SAMframes1 event
- VehicleYOLOframes1 event
- PersonYOLOframes1 event
- Anomaly — a spill by the pipeSAMframes1 event
4 events · 0 operators on board
How it works
Inspection by eye and review of the recordings after the flight: it takes a long time, requires processing a large volume of data, and still is not accurate enough
Computer vision in real time on board. Detection of objects and anomalies during the flight, computed by edge AI on the device itself — power and space rule out the cloud and an external server
Inspection without an operator on board: vision on an NVIDIA Jetson chip runs the survey in real time and produces the final report as soon as the helicopter is back at base
A YOLO cascade for people and vehicles, GroundingDINO / SAM for equipment and anomalies. Offline mode with local weights, tracking with event deduplication.
Stack
NVIDIA Jetson (L4T) · PyTorch · ONNX · YOLO · GroundingDINO · SAM