Images of pipelines are downloaded by SuperVision software from satellites around the world
Machine Learning
Proprietary AI & machine learning model analyses satellite imagery and recognises potential threats
Reporting
Monitoring experts of our clients receive the threat warning in web app and can analyse it properly
Incident Prevention
If deemed necessary monitoring staff starts a new workflow preventing from the threat becoming an incident
Use case: Third-party inference
The Problem
Third-party interference is a leading cause of gas pipeline incidents. This construction activity is happening right next to a DN1000 (1m diameter) gas pipeline.
Our Solution
Our solution detected this risk in less than 10 days from the start of construction, two weeks before a helicopter would.
Demo Version
Our algorithms process latest radar and optical images for timely and accurate risk detection:
Combining open source and commercial high-resolution data.
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