Automate UAS data processing and fleet management for better operational efficiency
Organizations in many critical infrastructure industries of all sizes face the common problem of managing large amounts of aerial imagery collected from remote locations. There is a need to have all UAS data delivered to a standard data warehouse for ease of ingestion, archiving, and collaboration. The demand for these data management solutions is exploding with many utilities, oil and gas, land management, telecom (5G transformation) and civil engineering companies creating more and more imagery and other 3d and 4d data for analysis and decision support.
The Department of Interior has recognized this need early on and has focused resources and energy on creating the solution that will not only handle a single set of use cases , but scale along with the explosion in these types of data. The Department of Interior has funded an open source UAS-DM application is designed to centrally manage UAS imagery, facilitate uploads to the cloud in low internet conditions, and automate imaging processing workflows, such as orthorectification. To make this technology available to the public as a common good and to help foster a collaborative community that can make UAV operations seamless .
This platform as a service is extremely useful for all enterprises that are in need of capturing , managing and using drone imagery, lidar, ground points etc…to help manage their assets and create better decision making for field workers and managers along with executives.
We will demonstrate the UAS-DM application, outline the feature roadmap, and
show its extensible framework for building collaborative workflows around image collection,
processing, sharing, and metadata capture, to enable location intelligence.
5. UAS BENEFITS MANY SECTORS
Drone
Electrical
Utility
Oil & Gas Municipality Disaster Relief
6. THE UAS DATA MANAGEMENT PROBLEM
Drone data often becomes siloed
o Individual drone pilots capture imagery and store them on their individual laptops
o Nobody else can find them or use them
o As a result, more repeat drone flights are flown at the same locations than necessary
7. THE UAS DATA MANAGEMENT PROBLEM
Workflows for image processing are not
standardized
o How were the images produced?
o What tools and settings were used?
o Which raw images were used?
o When was the mission flown?
o What sensors were used?
Lack of standardized workflows results in poor traceability and repeatability
8. THE DEPARTMENT OF INTERIOR SOLUTUION: UAS-DM
The Unmanned Aerial Imagery (UAS-DM)
Platform as a solution to:
o Provide a central cloud-based repository for UAS data
o Provide reliable upload capability in low bandwidth
conditions
o Provide image processing capabilities in the cloud
o Automate and standardize image processing workflows
o Make processed imagery and statistical outputs findable
across organizations
o Enable collaboration
9. THE DEPARTMENT OF INTERIOR SOLUTUION: UAS-DM
Provide reliable upload capability in low
bandwidth conditions
o Pilots sometimes need to fly missions in remote areas with unreliable internet connectivity
o UAS-DM provides a reliable means to upload to the cloud
Current State
Optimized State
10. THE DEPARTMENT OF INTERIOR SOLUTUION: UAS-DM
Provide image processing capabilities in the
cloud
o Using serverless architecture where possible
o Open Drone Mapper integration for automated orthorectification
o Also produces a 3D point cloud modeling
o Support for multispectral imagery in the next release
o Using Amazon Workspaces for tasks that have not yet been migrated to a serverless architecture
11. THE DEPARTMENT OF INTERIOR SOLUTUION: UAS-DM
Capture metadata on image processing
workflows
o Standardizes how outputs are produced
o Provides traceability into what was done, where, and by who
Processing
Output
Raw Images
Sensor
Software
Tools
GCPs
Pilot
12. THE DEPARTMENT OF INTERIOR SOLUTUION: UAS-DM
Make processed imagery and statistical
outputs findable across organizations
o Associate outputs with the sites they pertain to
o Specify visibility of projects to other entities
o Enable transparency into how outputs fit contextually into workflows
o Make everything searchable:
o Locations
o Flights
o Raw inputs
o Processed outputs
o Example: vegetation analysis for the National Park Services
14. KNOWLEDGE GRAPHS
The use of knowledge graphs by the UAS-DM
make it more adaptable to other environments
that is implemented by a graph database.
Types and hierarchies can be configured so
that the solution can be adapted to other
organizations
Graph database is more scalable and
performant for this kind of application
Project
Mission
Collection
Site
Raw
Imagery
DEM
Ortho
Point
Cloud
Entity
Type
Hierarchy
Type
15. IMPLICATIONS FOR SOCIAL IMPACT
Disease intervention, elimination, and disaster relief efforts can be improved by integrating
recent UAS imagery into collaborative workflows
Recently collected and processed UAS imagery can be integrated into mobile devices used
by field workers to plan disease interventions in remote villages
Disaster relief entities and municipalities can share imagery with each other
16. BUILDING A COMMUNITY
UAS-DM is being released under an open source
license
We want to hear from you!
o What are some of your challenges?
oAre you interested in being a beta tester?
Send us your email if you want to receive updates
JAkers@Zivaro.com
