During major incidents and disasters, locating missing persons quickly can mean the difference between life and death.
Fire and rescue services face unique challenges when searching for missing persons during emergencies. Structure collapses, flooding, and evacuation scenarios create chaotic environments where traditional search methods struggle.
Incident commanders need immediate intelligence about probable locations to deploy specialist rescue teams effectively whilst managing ongoing emergency conditions.
Predictive intelligence designed for high-pressure emergency scenarios where every decision affects operational safety and success.
Our models adapt to emergency conditions including flood zones, fire perimeters, structural damage, and evacuation routes to predict likely refuge locations.
Update predictions as incident conditions change. Factor in spreading fires, rising water levels, or structural instability for safe deployment decisions.
Coordinate urban search and rescue teams, water rescue units, and aerial assets based on predicted locations and accessibility requirements.
During flood events, missing persons may be trapped in buildings, stranded on high ground, or swept into water systems. Predictions factor in water flow patterns, elevation data, and evacuation route accessibility.
Following building collapses or explosions, survivors may be trapped in void spaces or debris fields. Our models predict likely survivor locations based on structural analysis and occupancy patterns.
During wildfire evacuation scenarios, missing persons may be trapped by fire perimeters or sheltering in defensible locations. Predictions account for fire behaviour and escape route viability.
Chemical spills and hazardous material incidents create exclusion zones where traditional search methods cannot operate. Predictions help identify likely locations outside contaminated areas.
Reduce exposure to hazardous conditions by targeting highest-probability areas first. Minimise time spent in dangerous environments.
Deploy specialist teams and equipment where they're most likely to be effective. Optimise use of limited technical rescue resources.
Provide incident commanders with data-driven intelligence for tactical decision making during complex emergency scenarios.
Share predictions with police, ambulance services, and volunteer organisations for coordinated response efforts.
Use prediction models in training scenarios to improve decision-making skills and familiarise crews with data-driven approaches.
Compare predicted locations with actual outcomes to improve future response strategies and validate operational procedures.
Connect with our emergency services team to explore how Footstep can enhance your search and rescue operations during major incidents.