Guided by Flight
Grounded in Safety
Automate structural assessments with deep learning models that detect cracks, spalling, and bridge elements from drone imagery—faster and safer than manual inspection.
Crack Detection
U-Net deep learning model segments cracks with precision on concrete and pavement surfaces.
Flight Path Planning
PSO-optimized drone routes ensure full coverage with customizable altitude and sensor parameters.
Bridge Element ID
Automatically identifies decks, girders, piers, and pier caps with semantic segmentation.
Spalling & Anomaly
Multi-image analysis detects spalling damage and surface anomalies for comprehensive assessments.
How It Works
Upload
Upload drone imagery or define an area of interest on the map.
Detect
AI models analyze images for cracks, spalling, and structural elements.
Review
Inspect overlaid results with statistics, masks, and severity ratings.
Export
Download flight paths as KML files and archive inspection results.
