SMART SOLUTIONS FOR SAFER SPACES
Kognition AI helps protect your most important assets
Transform your city’s camera network into an intelligent public safety platform with crowd analytics, vehicle tracking, weapons detection, and real-time situational awareness — at scale.
Cities around the world have invested billions of dollars in surveillance camera networks. From downtown corridors and public parks to transit stations, highways, and critical infrastructure, municipal camera deployments now number in the thousands — sometimes tens of thousands — of cameras per city. Yet for most municipalities, these cameras remain passive recording devices. They capture footage that’s reviewed after incidents occur, but they don’t prevent crime, optimize public safety resource allocation, or provide the real-time intelligence that modern urban management demands.
The gap between camera investment and actionable intelligence is staggering. Studies consistently show that traditional CCTV monitoring is effective only when human operators are watching — and research demonstrates that monitoring effectiveness drops precipitously after just 20 minutes of continuous screen-watching. With thousands of cameras and a handful of monitoring staff, the vast majority of municipal camera feeds go unwatched in real time.
Meanwhile, cities face growing public safety challenges. Violent crime in urban areas remains a top concern for residents and elected officials. Mass gathering events — festivals, protests, celebrations — create crowd management challenges that can turn deadly without proper monitoring. Traffic congestion costs the average American city billions in lost productivity. And the threat of active shooters in public spaces has made weapons detection in open areas a critical priority.
Kognition AI transforms municipal camera networks from passive recording systems into active, intelligent public safety platforms. By layering AI-powered analytics onto existing city cameras, Kognition enables real-time crowd monitoring, vehicle tracking, weapons detection, and behavioral analytics at a scale that matches the city’s camera deployment — hundreds or thousands of cameras, all analyzed simultaneously, 24/7.
Municipal camera networks represent enormous taxpayer investments — often tens of millions of dollars. Kognition works with any ONVIF-compatible camera, meaning your existing Axis, Hanwha, Bosch, Pelco, and other cameras become intelligent AI sensors without replacement. This approach maximizes the return on prior investment and avoids the political challenge of requesting additional capital expenditure for camera replacement.
Unlike solutions designed for single buildings, Kognition’s architecture is built for city-scale deployments. Our platform scales from dozens to thousands of camera streams, distributed across an entire metropolitan area, with centralized management and analytics. Edge processing at distributed nodes ensures that the system operates without overwhelming city network infrastructure.
City security involves multiple stakeholders — police departments, fire departments, emergency management, transportation authorities, parks departments, and elected officials. Kognition provides role-based access that gives each agency visibility into the cameras and analytics relevant to their mission, while maintaining centralized management and preventing interagency data silos.
Beyond security, Kognition’s analytics provide city managers with data that informs urban planning, traffic management, event planning, and resource allocation decisions. People counting, traffic flow analysis, and crowd density metrics turn security cameras into a city-wide sensor network for smart governance.
Kognition’s People application provides the foundation for smart city public safety intelligence:
Kognition’s Vehicles application provides comprehensive vehicle intelligence across the city’s camera network:
Kognition’s Watchlist application supports public safety operations with targeted facial recognition capabilities:
Public spaces present the most challenging weapons detection environment — no controlled entry points, no metal detectors, and large open areas where threats can emerge from any direction. Through our ZeroEyes partnership, Kognition addresses this challenge:
Public transit systems are critical infrastructure that must balance open public access with passenger safety:
City parks and public spaces are community assets that need to remain safe and welcoming:
Downtown areas are the economic and cultural heart of cities:
Municipal camera networks are deployed over decades, incorporating cameras from multiple vendors, vintages, and technology generations. Kognition works with any ONVIF-compatible camera, unifying this heterogeneous infrastructure under a single AI platform without replacing a single camera.
City-scale deployments require distributed processing to avoid overwhelming municipal networks. Kognition’s architecture supports:
Many cities standardize on Milestone XProtect as their enterprise VMS. Kognition integrates directly, adding AI intelligence to the Milestone platform that operators already know and trust.
Kognition’s partnerships with Axis, Lenovo, and Milestone provide a complete, validated solution stack for municipal deployments — from cameras to AI processing hardware to VMS integration.
Smart city security deployments may qualify for multiple funding sources:
State Homeland Security Grant Program (SHSGP) and Urban Areas Security Initiative (UASI) funds can support AI-powered surveillance deployments.
COPS Office technology grants, BJA Edward Byrne Memorial Justice Assistance Grants, and Smart Policing Initiative funding may apply.
Many states offer dedicated public safety technology funding for municipal law enforcement.
Using existing infrastructure dramatically reduces deployment costs compared to solutions requiring proprietary cameras.
AI-powered monitoring enables police departments to optimize patrol allocation based on real-time intelligence rather than fixed patrol routes, reducing overtime and increasing coverage efficiency.
Kognition is designed with the privacy governance requirements of municipal deployments in mind:
All video analysis occurs locally within the city’s own infrastructure. No video leaves the municipal network for cloud processing.
Strict access controls ensure that only authorized personnel can access specific cameras, analytics, and data based on their role and need-to-know.
Comprehensive logging of all system access, searches, and data exports provides accountability and supports public records requirements.
Watchlist facial recognition is configurable and can be enabled or disabled based on municipal policy, applicable laws, and community governance decisions.
Configurable retention policies ensure compliance with state and local records retention requirements while preventing unnecessary data accumulation.
Kognition’s logging and audit capabilities support the transparency reporting that many municipalities require for surveillance technology deployments.
Architecture designed for thousands of cameras across metropolitan areas, not adapted from single-building solutions.
Works with every ONVIF camera in the city’s network, regardless of manufacturer or age. No rip-and-replace.
Role-based access enables police, fire, emergency management, and transportation agencies to share a common platform while maintaining appropriate access controls.
Human-verified firearms detection for open public spaces — the most challenging weapons detection environment.
A single platform for public safety, traffic management, crowd analytics, and urban planning data.
Approximately 100 deployments across demanding security environments demonstrate real-world reliability at scale.
All processing happens within the city’s infrastructure. No video sent to external clouds.
Built-in governance tools for audit trails, access controls, and policy-driven feature management.
See how Kognition AI is helping cities detect threats, manage crowds, optimize traffic, and protect public spaces — using existing camera infrastructure at city-wide scale.