fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT) that aims to improve the efficiency and accuracy of mapping efforts for humanitarian purposes. The service uses AI models, specifically computer vision techniques, to detect objects in satellite and UAV imagery.

At the Humanitarian OpenStreetMap Team (HOT), we envision an ecosystem of open mapping technology that enables everyone, and in particular vulnerable communities, to make open map data available in order to use in disaster response and humanitarian context. We focus on building with our community and involving our users in every step of the process.

In this session, we would like to take you on a journey in introducing the full end-to-end open mapping workflow, from collecting data to generating insights. From gathering aerial imagery with UAVs, remote mapping, AI assisted mapping to field data collection and then downloading and using the map in disasters and humanitarian work. You will hear about the key open source tools enabling that process - from the newly developed Drone Tasking Manager to fAIr (our AI assisted mapping service), Field Mapping Tasking Manager and HOT Export tool. We will share some stories from case studies in testing the end to end mapping workflow in Indonesia, Nepal, Sierra Leone and the lessons learnt.

We hope that you will leave this talk inspired and with an understanding on how YOU can become part of the end to end mapping journey!

HOTOSM website: https://www.hotosm.org/tech-suite
HOTOSM Github: https://github.com/hotosm