Dedrone City
Dedrone City is an urban-scale counter-UAS platform designed to provide comprehensive drone detection, tracking, and alerting across entire metropolitan areas and critical infrastructure networks.
System Overview
What It Is
Dedrone City extends Dedrone's airspace security platform to the metropolitan scale, deploying networks of sensors across entire cities to provide comprehensive drone detection, tracking, and management. The platform integrates with unmanned traffic management (UTM) systems to distinguish authorized from unauthorized drone operations.
How It Works
Dedrone City deploys a distributed network of RF sensors, radars, cameras, and acoustic detectors across a metropolitan area, all connected to a cloud-based AI platform. The platform continuously monitors the city's airspace, classifying all detected drone activity and cross-referencing against authorized flight plans from UTM systems. Unauthorized or suspicious activity triggers automated alerts to security agencies with real-time tracking data and forensic evidence.
Primary Capability
City-wide drone detection, tracking, and airspace management using distributed sensor networks and centralized AI-powered command and control.
Overview
Dedrone City takes the counter-UAS mission to the metropolitan scale, providing entire cities with persistent drone detection, tracking, and airspace management capability. As urban drone operations expand — for delivery, inspection, entertainment, and other commercial purposes — the need to distinguish authorized flights from potential threats becomes critical. Dedrone City addresses this challenge with a distributed sensor network and AI-powered command-and-control platform.
Development History
Dedrone developed its City platform in response to the growing challenge of managing urban airspace as commercial drone operations proliferate. Early counter-UAS systems were designed for single-site protection, but the expanding use of drones in metropolitan areas created demand for city-scale airspace awareness. Dedrone leveraged its existing sensor technology and AI platform to create a scalable solution that could cover metropolitan areas while integrating with emerging unmanned traffic management systems.
Operational Concept
Dedrone City deploys sensors throughout a metropolitan area — on buildings, utility poles, and other infrastructure — to create a persistent airspace surveillance network. The cloud-based AI platform processes data from all sensors simultaneously, maintaining a real-time picture of all drone activity across the city. Authorized flights registered in UTM systems are tracked and verified, while unregistered or suspicious drone activity triggers automated alerts to security operations centers. The system provides real-time tracking, historical replay, and forensic data for investigation and prosecution.
Future Development
Dedrone is expanding City's capabilities with improved detection of smaller drones in cluttered urban environments, enhanced integration with advanced air mobility (AAM) traffic management systems, and development of urban-safe effector options for authorized enforcement agencies. As cities worldwide grapple with drone regulation and enforcement, the demand for city-scale counter-UAS capability is expected to grow significantly.
Technical Specifications
- Multi-sensor network (RF, radar, EO/IR, acoustic)
- AI-powered classification and tracking
- Cloud-based command and control
- City-scale coverage area
- UTM integration capability
- Real-time alerting and forensics
Compatible Platforms
Deployed By
Key Features
- City-scale airspace coverage
- UTM system integration
- Multi-sensor distributed network
- AI-powered classification and alerting
- Forensic evidence collection
Advantages
- Scales to cover entire metropolitan areas
- Integrates with urban airspace management
- Automated operation reduces staffing needs
- Provides forensic data for law enforcement
Limitations
- Very high infrastructure investment
- Complex multi-sensor network management
- Urban RF environment challenging for detection
- Detection-only; requires separate effectors