When a missing person report comes in, responding officers need immediate intelligence to guide their search efforts effectively.
Missing person cases in urban environments present unique challenges. Officers must quickly assess numerous possible locations whilst coordinating with multiple units and managing public safety concerns.
Traditional approaches rely heavily on manual coordination and experience-based decision making, leading to delayed responses and suboptimal resource allocation.
Integrate predictive intelligence directly into existing command and control systems for immediate deployment guidance.
Our RESTful API provides prediction data that can be integrated by your technical teams into existing operational workflows as needed.
Specialised models for urban environments consider transport links, public spaces, commercial areas, and residential patterns unique to city searches.
Share predictions across agencies and services. Coordinate with fire services, ambulance services, and volunteer organisations seamlessly.
Elderly persons with dementia or adults with learning disabilities require immediate response. Footstep factors in mobility limitations and likely destinations based on cognitive patterns.
Time-critical responses for missing children benefit from immediate area prioritisation. Our models consider school routes, play areas, and family connections for rapid deployment.
Cases involving mental health concerns or suicide risk require immediate, targeted responses. Predictions focus on high-risk locations and known behavioural patterns.
During major events, festivals, or gatherings, separated individuals need quick reunification. Predictive mapping helps security teams focus search efforts efficiently.
Reduce time from initial report to first unit deployment. Predictions available within seconds of incident creation.
Deploy officers to highest-probability areas first. Maximise coverage whilst minimising resource expenditure.
Replace intuition-based deployment with data-driven intelligence. Justify resource allocation with probability analysis.
Higher success rates in locating missing persons through systematic, probability-based search strategies.
Update predictions as new information becomes available. Redirect resources dynamically based on search progress.
Use historical predictions and outcomes for training scenarios. Improve decision-making skills through data analysis.
Speak with our police liaison team about implementing Footstep within your force area. We understand the operational requirements of modern policing.