Products / VRAS Vision™
VRAS Vision™
Purpose built computer vision models tuned for infrastructure defect classes cracks, corrosion, thermal anomalies, solar hotspots, powerline vegetation, and more.
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Foundation vision models for infrastructure.
Overview
What it does.
Vision™ is the model runtime that powers Insight™ and Sentinel™. Inference runs on vehicle for latency sensitive work and in cloud for batch backfill. Every detection carries confidence, provenance, and a Verify™-signed reference to the source frame.
Interfaces
- API
- detection-api · v1 · REST
- SDK
- TypeScript · Python · Rust (edge)
- Runtime
- PyTorch · TensorRT · ONNX
- Models
- damage.tower.v4 · corrosion.pipe.v2 · solar.hotspot.v3 …
Capabilities
Feature surface.
14 defect classes
Domain tuned models for power, pipeline, rail, roof, solar, and substations.
Edge + cloud
TensorRT optimized on vehicle; horizontally scaled GPU pools in cloud.
Custom training
Bring your own labels; adapt an existing base model in hours, not weeks.
Signed inference
Every detection references the exact frame hash and model version.
Performance envelope
Suite
Pairs naturally with.
Evaluate
Bring VRAS Vision™ into your operations.
Datasheets, security packets, and reference architectures available under mutual NDA.