Facility inspection reports, completed by drones and AI

AeroView detects cracks from drone imagery, maps them onto survey drawings, and generates submission-ready inspection reports — cutting report time by 70%.

1

Upload

Drone operators upload site photos in bulk. Chunked uploads resume after interruptions.

2

Detect & review

AI detects cracks with confidence scores. Engineers approve, fix, or reject every finding.

3

Map & report

Approved damages are placed on drawings, and the report — quantity table, drawing, photo log — is generated.

91%

Crack detection recall

3 days → 4 hours

Report draft time

* Measured in our pilot inspection. See methodology. Data & Methodology

For inspection agencies

Organize projects by facility, split work by roles, and keep every review decision auditable.

For facility owners

View approved reports, track damage history over inspection rounds, and download PDFs — no analysis work needed.

Frequently asked questions

What is AeroView?

AeroView analyzes drone-captured images with AI to detect cracks on bridges and facilities, maps them onto drawings, and generates inspection reports.

Do I need an account to try it?

No. The demo project on the Demo page is available without signing up.

Which file formats can I upload?

JPG and PNG images up to 100MB each. Uploads are chunked and can resume after a network interruption.

Are AI results final?

No. Every AI detection carries a confidence score and must be reviewed by an engineer before it is included in a report.

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