SPADE Open Call #2Vision AI
PhotogrammetryDIPAL
Open-source photogrammetry tools for drone image processing.
ProgrammeSPADE Open Call #2
DomainPhotogrammetry
TypeVision AI
About This Project
DIPAL is an open-source photogrammetry toolkit for drone-image processing developed under the SPADE programme. It turns aerial captures into accurate 3D reconstructions and mapping outputs through scalable structure-from-motion and multi-view-stereo pipelines, making geospatial processing faster, cheaper, and easier to integrate into downstream workflows.
This project reflects Sensifai's applied innovation approach, combining research-grade AI capabilities with practical product and deployment requirements.
Key Highlights
✓AWS Step Functions pipeline for structure-from-motion and multi-view stereo workloads.
✓Support for DJI and Parrot drone imagery across practical field deployments.
✓Exports in GeoTIFF, LAS, and DEM formats for mapping and terrain analysis.
✓Plugin-friendly architecture for extending reconstruction and post-processing steps.
Use Cases
This project supports several practical scenarios across research, commercialization, and deployment contexts:
- Computer vision inference in production scenarios
- On-device or edge AI for visual understanding
- Photogrammetry workflow automation
- SPADE Open Call #2 innovation validation
- Cross-functional product and research collaboration
