Air Force Survey Assistant (AFSA) is a vision-based machine-learning algorithm and would be capable of interfacing with Esri Survey123 and ArcGIS Online and discover and capture data from satellite imagery or unmanned aerial surveillance imagery. The implemented solution will have the following capabilities: High count accuracy for ground entities (e.g., number of hangars on an airfield, number of structures in a compound, etc.); High accuracy measurement data for ground entities (e.g., lengths and widths of identified runways, area of terminal buildings, length and width of main thoroughfares and roads, etc.); High object identification accuracy for ground entities (e.g., buildings, runways, roads, railways, power plants, transformers and power lines, communications towers, canals, bridges, and other civil infrastructure). AFSA will leverage sense and avoid technologies to conduct UAS inspection services and asset management.
