From Pixels to Pathways

Announcing Geodesic Labs

Geodesic Labs was founded a couple years ago with the premise of leveraging remote sensing imagery and machine learning techniques to aid in situational awareness and decision optimization in austere environments. Specifically, the rapid extraction of both vehicles and road networks from imagery allows a host of interesting problems to be tackled, such as congestion mitigation, optimized logistics, evacuation routing, etc.

We are happy to announce that after much reflection, we intend to open-source the Geodesic Labs codebase. Our hope is that the many individuals and organizations involved in humanitarian assistance and disaster relief (HADR) will find utility in our work. In an upcoming series of blogs we will detail the challenges and methods we used to build up an interactive dashboard that can be used to evaluate and assist a number of both commercial and humanitarian problem sets.

This blog serves as a teaser for this upcoming series. See the video below for a short peak at what we plan to cover.

Humanitarian crises, along with both natural and man-made disasters show no sign of abating in the near term given ongoing changes to the planet and society. Yet ever improving machine learning techniques hold the possibility of blunting some of the harshest impacts of future crises. So stay tuned for some ideas on how to aid this enveavor via computer vision, graph theory, and a dashboard or two.