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Introduction

The C3 AI Law Enforcement application combines multiple data sources into a single, unified data model to allow law enforcement officials to view, analyze, and organize crime data from multiple systems in a single location.

Traditionally, a law enforcement officer must follow the following process when collecting and analysing data from existing systems:

  1. Search: The officer must search through multiple sources such as Records Management Systems (RMS), License Plate Reader (LPR) systems, dispatch records, and jail records to build a complete picture of a situation. Manually parsing and filtering data to find the relevant information is a lengthy and tedious task.
  2. Connect: The officer must draw connections between the data found during the search. Identifying associations between events, vehicles, cases, and individuals is a time consuming task and depends greatly on the officers involved and time available.
  3. Act: Based off the connections and conclusions developed in the previous step, the officer may now act on the information. For example, the officer may perform an arrest, or post a bulletin to other law enforcement agencies.

This process is shown in the following diagram:

graph LR Source1[Records Management System] Source2[License Plate Readers] Source3[Jail Management System] Source4[Dispatch System] Source5[Open-Source Intelligence] subgraph Officer Search[Search] Model[Make Connections] Action[Act] Search-->Model Model-->Action end Source1-->Officer Source2-->Officer Source3-->Officer Source4-->Officer Source5-->Officer

With the C3 AI Law Enforcement application, the system performs the data collection and connection steps automatically. Officers can search multiple systems from within a single applicationo generate a complete picture using all available data. This allows officers to spend less time searching and collecting data, and more time acting on information.

graph LR Source1[Records Management System] Source2[License Plate Readers] Source3[Jail Management System] Source4[Dispatch System] Source5[Open-Source Intelligence] subgraph A[C3 Law Enforcement Application] Model[Make Connections] end subgraph Officer Search[Search] Action[Act] Search-->Action end Source1-->A Source2-->A Source3-->A Source4-->A Source5-->A A-->Officer

Product features

The C3 AI Law Enforcement application includes the following capabilities to support law enforcement organizations:

  • Unified data model: Combines data and creates connections between multiple databases to provide a one-stop-shop for investigation and analysis.
  • Computer vision: Analyzes and transforms media from incarcerations, tattoos, evidence, and open source intelligence into an easily searchable format.
  • Federated identities: Combines all known information about an individual into a single searchable identity, including vehicle ownership, criminal history, known associates, and license plate recognition (LPR) hits.
  • Network analysis: Identifies relationships between individuals, vehicles, and cases in an interactive blackboard.
  • Universal search: Enables the search for corresponding identities, cases, or connections across multiple databases using a single piece of identifying information.
  • Patrol search: Provides all the features of Universal Search in a simplified user interface optimized for in-vehicle monitors.
  • Heat map: Displays the location of citations, dispatches, and cases in a customizable heat map.
  • Collaboration and communication: Enables organization members to share findings through bulletins, shared investigations, and reports.

See also

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