Patrol Management Software for Better Resource Deployment Decision-Making
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
Directed Patrols Prevent Crime
Research shows that high visibility patrols are an effective deterrent to crime. Agencies receive precise locations to patrol based on AI that is superior to traditional hot spot analysis.
- Boxes represent a precise area (250 meters by 250 meters) for patrol and are color coded by crime type.
- When officers arrive into a 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 Connect uses historical and continuously updated ShotSpotter gunfire data to create enhanced gunfire forecasts since the community typically reports only 20% of gunfire.
Suggested Tactics for Optimal Outcomes
Data-driven patrol plans put your officers in the right place at the right time while a list of low-touch interventions promote community trust
- As officers enter a directed patrol area, they are presented with approved non-enforcement oriented tactics to use during the patrol.
- The system tracks officer time spent in directed patrol areas and tactics used.
- Tactics are configurable and agencies are encouraged to review their tactics with the community.
Community First: Mitigating Bias and Over-Policing
ShotSpotter’s unique Community First approach has three protections in place to help establish impartiality when determining where patrols are conducted. First, the system intelligently meters out where patrol assignments occur and limits their duration to reduce instances of over-policing. Second, the system ensures the algorithms that drive patrol recommendations use objective, non-crime data that mitigates potential bias. Third, the system does not use any personally identifiable information to determine where patrols should be assigned.