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Swarm Detection Cloud Integration Drone Detection Radar for Smart Cities
Ⅰ. Product Description
The Swarm Detection Cloud Integration Drone Detection Radar for Smart Cities is an advanced, AI-driven radar system engineered to protect urban environments from sophisticated drone threats, including coordinated swarm attacks. Designed for scalability and interoperability with smart city infrastructures, this system provides real-time detection, tracking, and neutralization of multiple drones operating in clusters, while seamlessly integrating with cloud platforms, IoT devices, and municipal security networks.
Ideal for airports, government buildings, critical infrastructure, and public spaces, the radar combines cutting-edge phased-array radar technology, machine learning algorithms, and cloud analytics to identify and mitigate risks posed by rogue drones. Its modular architecture supports rapid deployment across city districts, with automated threat escalation protocols that alert authorities and trigger countermeasures within seconds.
Key Applications
Swarm threat detection in crowded urban areas, stadiums, and transportation hubs.
Integration with smart city IoT sensors, surveillance cameras, and emergency response systems.
Airspace management during large events, VIP visits, or high-risk operations.
Compliance with urban drone regulations and cybersecurity frameworks.
By leveraging edge computing and 5G-enabled cloud connectivity, the system enables multi-agency coordination, historical data analysis, and predictive threat modeling. Its resilience to electronic warfare, adverse weather, and high-density urban interference ensures reliability in the most complex smart city ecosystems.
1.Swarm Behavior Analysis
Detects and tracks Multiple drones simultaneously, identifying coordinated attack patterns.
AI-powered behavioral analytics to distinguish swarms from benign flocks or misidentified objects.
2.Cloud-Native Architecture
Real-time data synchronization with municipal cloud platforms for unified threat management.
Multi-city collaboration via secure federal cloud networks, enabling cross-jurisdictional threat sharing.
3.Multi-Layered Detection
Combines c-band radar acoustic sensors for 360° coverage.
4.Smart City Interoperability
API compatibility with existing IoT infrastructure (smart lighting, traffic management).
Edge computing capabilities for localized decision-making without cloud latency.
5.Scalable Deployment
Modular units deploy in under 20 minutes, supporting dense urban or wide-area coverage.
Mesh networking for seamless expansion across city districts.
Remote Control | Supports remote on/off functionality |
Output Information | Capable of obtaining information such as the distance, velocity, and angle of detected objects |
Multi-Target Tracking | Supports multi-target tracking switching logic; can track the trajectories of multiple targets in real-time. |
Target Fusion Processing | Supports data fusion processing from multiple sensors.Zone Management: Allows flexible setting of zones with precise positioning and the ability to trigger intrusion alarms. |
Zone Management | Allows flexible setting of zones with precise positioning and the ability to trigger intrusion alarms. |
Anti-Interference Capability | Features online adjustment capabilities for detection sensitivity and speed range, as well as the ability to filter out abnormal trajectory interference. Through sensitivity adjustment and abnormal trajectory filtering functions, it can effectively eliminate false alarms caused by clutter. |
Online Monitoring Function | Capable of monitoring working status and issuing fault alarms; also has the ability to alert when the device goes offline. |
Remote Monitoring Status | Has remote monitoring capabilities, can report device status in real-time, and features online/offline alarm functions for the device. |
Online Self-Inspection Function | The device has the ability to perform online self-inspection. |
Adaptive Processing Capability | Has the ability to adaptively handle moving target clutter and adaptively process clutter maps. |
Linkage Function | Features radar pan-tilt linkage function, with target tracking and evidence capture (automatic tracking mode, radar tracking mode, image tracking mode). |
Multi-Site Networking and Blanking | Capable of networking with multiple devices; has the ability for multi-site collaborative detection; and has the ability to fill in gaps when neighboring sites fail. |
Working Mechanism | Active Digital Phased Array (Azimuth Electronic Scanning) / Pulse Doppler |
Operating Frequency Band | C-band |
Range | 1.5Km |
Effective Detection Range | 100 m to 0.8 km (pedestrians)100 m to 1.2 km (small cars) |
Azimuth Coverage | ≥90° |
Elevation Coverage | ≥18° |
Detection Speed | 1.8 km/h to 108 km/h |
Azimuth Accuracy | ≤1.0° |
Range Accuracy | ≤8 m |
Data Rate | ≥2 Hz |
Data Interface | RJ45 / 1 × 100 Mbps Ethernet |
Power Input | ≤45 W (power consumption), AC220V to AC240V (input) |
Operating Temperature | -40°C to +55°C |
Weight | ≤5.5 kg |
Ⅴ. Company Style
VI.Corporate Events