Blackshark.ai

Blackshark.ai's geospatial tool extracts infrastructure insights from global satellite and aerial imagery using machine learning and AI, creating a photorealistic, geo-typical digital twin of the planet in 3D.

Key Features:

• Geospatial Data Processing: Processes a variety of satellite, aerial, DEM, and geospatial data to generate accurate 3D models.
• AI-Powered Feature Extraction: Detects and extracts features from 2D imagery, providing detailed information about buildings, roads, vegetation, and other infrastructure.
• Synthetic 3D Globe Generation: Creates a photorealistic 3D replica of the entire planet, including terrain elevation, buildings, vegetation, and infrastructure.

Use Cases:

• Flight simulation: Provides a realistic 3D representation of the planet's surface for flight simulator and image generator solutions.
• Synthetic training data generation: Generates geo-referenced, synthetic training images for machine learning models, enabling efficient training for autonomous vehicles, drones, and remote sensing applications.
• Semantic 3D city modeling: Creates accurate georeferenced 3D vector maps extracted from satellite or aerial imagery, useful for urban planning, mapping, AEC, finance, insurance, and mixed reality applications.

Conclusion:

Blackshark.ai's geospatial platform offers a versatile and scalable solution for various industries, enabling the creation of realistic 3D models, synthetic training data, and semantic 3D city models from satellite and aerial imagery. Its accurate and up-to-date data provides valuable insights for applications in urban planning, flight simulation, autonomous vehicle training, and more.