How Los Angeles Enhanced Public Safety with AI-Enabled Surveillance Systems

By: GoBeyond Team

July 3, 2025

3 min read

AI case study for Los Angeles Public Safety – AI-enabled surveillance improves threat detection

Quick Overview

Los Angeles deployed AI-enabled surveillance cameras with facial recognition and motion detection to monitor public spaces. The system analyzes live video feeds to detect anomalies such as unattended objects or suspicious behavior, automatically alerting law enforcement for rapid response and improved public safety.

City of Los Angeles

Company Size

50,000+ employees (city government)

Revenue Range

$10B+ annual budget (city government)

Primary Challenge

Need for faster threat detection and improved public safety monitoring in crowded urban areas

Key Metrics

\- Enhanced public safety\- Quicker threat detection and response\- Improved law enforcement effectiveness

The Problem

Manual monitoring of surveillance footage was slow and inefficient, limiting timely detection of threats and suspicious activities.

The Solution

Implemented AI surveillance systems incorporating facial recognition, motion detection, and anomaly detection to automate monitoring and alerting.

Results

\- Faster identification of potential threats\- Automated alerts enabling rapid law enforcement deployment\- Improved crime prevention and public safety outcomes