Gandhara Digital Twin
High-fidelity AI preservation and 3D archiving of cultural heritage.
Govt. of Khyber Pakhtunkhwa · DG Science & Technology · Directorate of Archaeology & Museums · University of Swat
The work
Gandhara’s black schist absorbs light, so photogrammetry fails and infrared scanners return noisy point clouds. This programme solves it with industrial blue-laser scanning and an AI neural-fusion pipeline — ingestion, alignment, meshing and 8K/16K texturing — producing scientific master archives, web-ready models and 3D-printable twins for 100+ artifacts, published through a searchable Smart Portal.
- Scan accuracy
- 0.05 mm
- Points per second
- 1.2M
- Artifacts · 3 sites
- 100+
- Polygons per master
- 50M
What it does
- First validated scanning standard for black schist — a published Acquisition Parameter Guide
- .OBJ master archives at 50M polygons, .GLB web models, .STL physical twins
- Semantic tagging — period, material, provenance — keeps the archive machine-readable
How it is built up
- 01Mobilisation
- 02Acquisition
- 03Refinement
- 04Handover
Blue-laser scanningAI neural fusionGPU reconstruction.OBJ / .GLB / .STLSmart Portal