How pre-surveyed geospatial data and AI benefits incident response
As tech in Public Safety becomes more common, the key question is focusing on how to shape it to truly help first responsers. The digitalization of Emergency Services can enable them to bridge departments and teams to ensure information reaches the right person at the right time. As a specific example that we can share from Unblur and geospatial data. FRS can use GIS platforms to survey information about relevant buildings, hazmat sites or to update the status of water sources. This data can be used by the prevention team, but also it can fees tools for front-line response. This geospatial data, together with aggregated real-time information from an incident, can feed AI algorithms to rapidly deliver advice to Incident Commanders on risks to take into consideration or the need to ask for reinforcements. The same front-line tools can use geospatial data to automatize risk assesments and initial incident reporting. As part of this session we can share more details on:
- How pre-surveyed geospatial data benefits incident response (and viceversa);
- How AI can be involved in the incident response;
- Our vision on how these tech and others (voice recognition, AR…) will be implemented in the incident site.