Resource Deployment Challenges
Patrol – it’s the backbone of every department. But with shrinking budgets and community concerns about overpolicing, command staff must assess whether patrol resources are consistently deployed to the right places at the right times to have the most impact on potential crime without creating community harm.
Patrol Management Software for Better Resource Deployment Decisions
Patrol management software uses artificial intelligence-driven analysis to help strategically plan directed patrols
and have consistent use of tactics for both maximum crime deterrence and minimal harm to the community
Planning Patrol Time
- The system provides patrol officers with a forecast of the highest risk areas for crime during their shift. Boxes represent a precise area (250 meters by 250 meters) for patrol and are color coded by crime type
- When officers arrive in the box, the directed patrol officially begins and a timer starts so that the area is not over or under patrolled
- Authorized users such as crime analysts can add or suppress a directed patrol based on late-breaking information
- The directed patrols can be viewed on an MDT, smartphone, desktop or printed out
- ShotSpotter Missions uses historical and continuously updated ShotSpotter gunfire data to create enhanced gunfire forecasts since only 20% of gunfire is reported by the community
- The Mission Directed Patrol Report helps command staff better understand what their patrol resources are or were doing. See which officers executed their directed patrols, when, and what the officer did during that time. Quickly review total directed patrols completed and minutes completed for each shift.
- The Vehicle Location History Report enables agencies with Automated Vehicle Locators to see a historical, visual representation of the route that a patrol car executed during a shift and compare separately to recommended directed patrols, calls for service, and crime events.
How ShotSpotter Missions Works
Create crime risk forecasts that are more accurate than traditional hotspot methods and designed to mitigate potential bias