Solutions

Smart Cities

Local Intelligence for Urban Systems.

Challenge

Local Intelligence for Urban Systems.

Cities generate vast volumes of video and sensor data that cannot efficiently or privately be processed entirely in distant cloud infrastructure.

Cloud limitation

Continuous transmission of high-volume camera feeds creates bandwidth strain, privacy concerns and delayed response for public safety events.

Edge advantage

Atomo processes intelligence locally so smart cities teams can act in real time, reduce cloud dependency, and keep sensitive data closer to the source.

Core capabilities

What you can deploy on the edge

Local camera processing and event detection

Traffic and crowd intelligence

Fire and smoke detection

Infrastructure monitoring with edge alerts

Use cases

Built for production environments

Public safety Traffic intelligence Crowd monitoring Fire and smoke detection Infrastructure monitoring Emergency response support

How it works

From deployment to operation

  1. Survey

    Map camera locations, connectivity and priority public-safety zones.

  2. Deploy

    Install edge nodes for traffic, crowd and infrastructure intelligence.

  3. Integrate

    Route local alerts to city operations and emergency response workflows.

Recommended hardware

Products for smart cities

Electron Proton Compare all products

Outcomes

Deployment outcomes

  • Faster incident response
  • Reduced raw video transmission
  • Privacy-conscious local processing
  • Scalable intelligence across city zones
1000+ Cameras per city zone
Local Event detection on-site
GDPR-ready Privacy by architecture

Deployment highlights

  • Process camera feeds at intersections, transit hubs and public spaces
  • Detect incidents locally and send only alerts, not full video streams
  • Integrate with city operations centers and emergency dispatch systems
  • Deploy across districts with centralized fleet management