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.

Live Demo

Upload an image. Watch the pipeline run.

Drop a photo of infrastructure or load a sample asset. The console streams pre processing, inference, calibration, and prescriptive recommendations the same pipeline production tenants call through the API.

VRAS Vision™ Consolev9.2 · edge+cloud ensemble
SAMPLE
● LIVE · IDLE
500kV lattice tower · Sector NW-12
INGEST
PREPROC
ENSEMBLE
CALIB
CLASSIFY
DISPATCH

Detections

Upload an image or load a sample to begin.

// no image loaded

Audit Log

// pipeline idle

DEMO MODE · SAMPLES USE PRE COMPUTED INFERENCE · UPLOADS PROCESSED CLIENT SIDE ONLY

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.

01

Ingest

Image, video, LiDAR, or thermal stream.

02

Detect

Model ensemble runs on GPU edge or cloud.

03

Score

Confidence calibrated against ground truth.

04

Recommend

Prescriptive action written into the ticket.

Model Bench

Confidence scored classes we're production ready on.

Structural cracks98.4%

Dispatch CAT-3 inspection crew within 72h.

Metal corrosion97.1%

Schedule coating maintenance in next cycle.

Thermal / gas leaks96.8%

Isolate segment; deploy ground robot to confirm.

Roof damage99.0%

Escalate to facilities; open insurance packet.

Solar panel defects97.6%

Flag inverter string for O&M truck visit.

Powerline wear98.2%

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.