AI workflows
AI Target Detection for Seabed Features
HydroStack uses deep learning to predict boulders on the seabed and estimate their shape, helping teams identify these features without manually drawing polygons across every survey area.
By automating target detection, HydroStack:
- Highlights likely boulders and seabed objects for focused review
- Predicts object outlines so teams can inspect shapes faster
- Reduces repetitive polygon drawing during target interpretation
- Keeps detections connected to the same browser-based dataset workspace
The workflow is designed for production review: AI-generated targets provide a first pass over the seabed, while survey teams retain control over validation, edits, and delivery decisions.
AI target review example
The target detection view shows predicted seabed features directly in the HydroStack map workspace so teams can inspect boulder locations and outlines before export or handoff.