Intelligence-Led Policing in Niterói: An Overview

In 2025, Niterói, Brazil took a major step in that direction by integrating ShotSpotter gunshot detection data into a citywide, intelligence-led policing strategy. The result was not simply faster response to gunfire, but a repeatable model for turning real-time data into proactive, life-preserving public safety decisions.

Gunshot detection technology generates thousands of data points. But without analysis, those alerts remain reactive.

Niterói’s Municipal Intelligence Office addressed this challenge by producing its first annual report of firearm discharge events. The report transformed georeferenced gunfire detections into structured intelligence, organized by location, time of day, day of week, and recurrence, and designed for direct operational use.

This shift marked a move away from incident-by-incident response toward intelligence-led public safety planning.

Temporal analysis showed firearm violence in Niterói followed clear, predictable patterns rather than random distribution.

Key findings included:

These insights enabled leaders to align staffing levels, patrol schedules, and preventive presence with historically higher-risk time windows, supporting proactive deployment instead of reactive overload.

Gun violence was not evenly distributed across the city. Advanced spatial analysis, including heatmaps and recurring clusters, showed firearm discharges concentrated persistently in a small number of neighborhoods, forming stable risk nodes rather than shifting hotspots.

This overview allowed public safety teams to:

With a 96.8% confirmation rate for detected firearm discharges, Niterói established a reliable foundation for performance evaluation.

The city began tracking:

These metrics enabled continuous adjustment—grounding public safety strategy in evidence rather than assumptions.

Niterói embedded ShotSpotter insights into its Integrated Public Safety Center (CISP), municipal operational logs, and state-level indicators, creating a shared operational picture across agencies.

This integration improved:

The result was clearer situational awareness and faster, more informed decision-making across the public safety ecosystem.

Niterói’s experience demonstrates that technology alone does not improve safety. Interpretation does.

By embedding gunshot detection data into intelligence workflows, operational planning, and performance review, the city strengthened its ability to anticipate risk, deploy resources effectively, and support proactive, life-preserving public safety.

For cities seeking to modernize policing while maintaining accountability and trust, the Niterói model offers a clear lesson: when data becomes shared understanding, prevention becomes possible.