AI / VRAS Vision™
Detection tuned for infrastructure.
Off-the-shelf vision models are trained on cats and cars. VRAS Vision™ is trained on the defect classes engineers, insurers, and regulators actually pay attention to.
Pipeline
Upload → detect → score → recommend.
A single request runs the same pipeline the platform uses in production: pre-processing, model ensemble, calibration, and downstream recommendation.
Ingest
Image, video, LiDAR, or thermal stream.
Detect
Model ensemble runs on GPU edge or cloud.
Score
Confidence calibrated against ground truth.
Recommend
Prescriptive action written into the ticket.
Model Bench
Confidence-scored classes we're production-ready on.
Dispatch CAT-3 inspection crew within 72h.
Schedule coating maintenance in next cycle.
Isolate segment; deploy ground robot to confirm.
Escalate to facilities; open insurance packet.
Flag inverter string for O&M truck visit.
Add to next vegetation-and-line management run.
Try
Run a private pilot on your imagery.
Bring a sample dataset. We'll return a scored, verified report within a two-week evaluation window.