The GEOINT Advantages of Automation
Through automation, VELOCITY streamlines the processing and production of rich and complex 3D maps and can help agencies:
- With the continual automated ingestion of foundational geospatial data and sensor data (including LiDAR, photogrammetry, and Radar),
- Maintain a centrally curated foundation data repository from which the majority of derivative geospatial 2D and 3D maps, visualizations, and simulation databases can be produced,
- Produce derived synthetic environments in hours rather than weeks or months.
By focusing on automation, VELOCITY is able to excel in the following areas:
- One World
- Data Fusion
- Machine Learning/AI
- Open Standards
Automated and deterministic workflows are the key to massive scalability in the cloud. With automation in VELOCITY, it is possible to scale a workflow to thousands of machine, making results available in minutes instead of days. Integration of cloud computing permits distributed processing for any sized project on public or private cloud.
One World: A Master Correlated World
VELOCITY enables and streamlines the continuous and automated consumption/ingestion of geospatial and sensor data to a single master geospatial representation of the world. The data repository or dataset may or may not be centralized, but there is only one correlated world. From this repository, agencies could very quickly generate and deliver nearly all geospatial 2D and 3D maps, visualizations, simulations, and derivatives to the point of need.
This one-to-many/many-to-one organization of data and workflows ensures correlation between the multiple derived datasets as they are all published from a single corrected master representation of the world.
Fusion: Many to One
To address the challenge of fusing a wide range of data types or sensors with foundational GEOINT data in a large-scale automated and incremental fashion, VELOCITY can create, augment and constantly maintain a current, integrated central geospatial data repository that can be used to create a number of geospatial products to be used by geospatial, defense and intelligence organizations.
Through projects with various universities, governments and private partners, Presagis is actively involved in leveraging AI/ML algorithms for the integration of Lidar, WAMI and FMV sensor data as well as a number of feature extraction processes to allow VELOCITY to further the automated curation of 3D geospatial data repositories.
By publishing these geospatial products from a central repository in an automated manner, users can avoid the redundancies, discrepancies and inconsistencies that occur when these products are created in a non-collaborative manner or independently. In addition, this approach allows for much better productivity and scaling.
Data comes from anywhere and everywhere – from public, commercial, or private, all the way to government and secret. Using open standards brings a high level of inter-operability and exchange at both the data and modeling levels. Because the types and sources of data increase, along with the outputs and their platforms, VELOCITY is built to ingest and publish using open, internationally accepted standards in order to allow interoperability of different types of systems developed at different times – all in an automated manner.