AI Inspections

Analyze UAV mission

DEMO RESULT

The analysis pipeline is provider-agnostic. In this build detections come from a deterministic demo analysis engine and are labelled as demo results everywhere they appear — no live vision model is called and no results are presented as real AI output.

Click to select UAV photographs

GPS EXIF is read when present; images without GPS are placed inside the mission area and can be repositioned by an engineer.

Detection classes per profile

  • Power infrastructure

    damaged pole · broken insulator · vegetation encroachment · conductor anomaly · structural damage

  • Roads

    potholes · cracks · surface deterioration · landslides · obstruction

  • Buildings

    roof damage · structural damage · facade defects · storm damage

  • Solar infrastructure

    damaged module · surface anomaly · missing module · physical damage

  • Telecommunications

    tower anomaly · antenna anomaly · cable damage · cabinet damage

  • Disaster assessment

    damaged buildings · blocked roads · flooding · landslides · debris

Structured output per detection: finding_type, description, confidence, severity, recommended_action, image_id — ready to be produced by a real vision provider (YOLO on Jetson, hosted vision model) behind the same interface.