π’ About
Dronnix specializes in drone mapping, 3D modeling, digital twins, and geospatial AI for:
| Domain | Application |
|---|---|
| βοΈ Energy | Solar panel inspection & fault detection |
| πΎ Agriculture | Crop monitoring, yield estimation & disease detection |
| ποΈ Urban | Growth monitoring, land cover classification & change detection |
| ποΈ Construction | Progress tracking, volume measurement & site monitoring |
| πΊοΈ Mapping | Large-scale 2D orthomosaic & topographic mapping |
| ποΈ Digital Twins | 3D city models, infrastructure twins & facility management |
| π² Environment | Forest inventory, flood mapping & erosion monitoring |
| βοΈ Mining | Stockpile volume, pit mapping & earthwork estimation |
| π§ Infrastructure | Road condition, powerline inspection & bridge assessment |
| ποΈ Real Estate | 3D property models, site visualization & area measurement |
π Open Resources
π GeoSeg Studio
Open-source QGIS plugin for deep learning semantic segmentation of satellite and aerial imagery
- Full pipeline: Prepare β Train β Evaluate β Predict
- 7 model architectures (UNet, SegFormer, SwinUNet, and more)
- GPU-accelerated with PyTorch β no coding required
ποΈ Drone Building Extraction Dataset β Calgary
High-resolution drone imagery with manually annotated building polygons for binary semantic segmentation
- 4-band GeoTIFF orthomosaics (RGB + Alpha) captured with DJI Matrice 4E
- Manually annotated building footprints (QGIS) β Calgary, Alberta, Canada
- Ready to use directly with GeoSeg Studio β no pre-processing required
- License: CC BY 4.0
π¬ Contact
For inquiries and support: salar@dronnix.com
Built with β€οΈ by Dronnix