Shenzhen Polaris Security Technology Co., Ltd.
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Drone Detector With Multi-Sensor Fusion Combining Drone Spoofing Device
Introduction
This integrated system employs AI-driven multi-sensor fusion to detect, track, and neutralize unauthorized drones through real-time spoofing protocols. By combining pulsed Doppler radar , wideband RF spectrum analysis (70MHz–6GHz) , it achieves 360° detection coverage with 0.8-meter positional accuracy at 8km range. The core innovation lies in its adaptive sensor fusion engine , which leverages spiking neural networks (SNNs) to synchronize radar cross-section data, RF signal fingerprints (e.g., DJI OcuSync protocols), and event-based camera inputs, reducing false positives from birds or environmental clutter by 99.1%.The spoofing subsystem implements cognitive GPS/GLONASS signal emulation , generating adversarial navigation coordinates that override drone autopilot systems while complying with aviation regulations. A dynamic waveform synthesizer simultaneously disrupts 2.4GHz/5.8GHz control links and 1.5GHz GNSS receivers, forcing unauthorized UAVs into controlled descent or return-to-home modes. Proprietary time-synchronized jamming algorithms analyze drone firmware vulnerabilities through live protocol reverse-engineering, enabling sub-500ms response from detection to spoofing activation.Key advancements include a neuromorphic edge computing architecture that processes 15TB/hour of sensor data via FPGA-accelerated SNNs, enabling real-time fusion of millimeter-wave radar signatures with RF spectral patterns. The system autonomously updates its threat database using generative adversarial networks (GANs) to simulate emerging drone models and anti-detection tactics. Field-tested in urban environments, it maintains 98.7% spoofing success rate against swarm attacks while preserving legitimate drone operations through blockchain-verified Remote ID authentication.
Basic
| Function | Description | ||
| UAV detection | Detection spectrum bandwidth | 70 MHZ - 6GHZ | detection focus on the 433Mhz/ 900Mhz/2.4Ghz/5.2Ghz/5.8Ghz |
| Simultaneous screening number of UAV | ≧150pcs | can be customize with 1Ghz -1.4Ghz & 5.1Ghz - 5.9Ghz FPV Bands | |
| The lowest detection height | ≦0 meters | ||
| Detection rate | ≧99.99 % | ||
| White and Blacklist | Number of identifiable models | ≧ 400 | including DJI series drones,and it has the autonomous learning ability |
| the accurate identification of target | Available | for different targets of the same position, same frequency band, same manufacturer, same type of UAV respectively. | |
| in-depth analysis of UAV signal | |||
| the identification of unique ID | |||
| the black and whitelist to distinguish | |||
| Defensive Interference | Interferable frequency bands | 900MHz, 433Mhz, 1.5ghz, 2.4ghz, 5.8ghz, 5.2Ghz |
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| other customized frequency bands | |||
| Remote OAM | Unattended Mode | Automatic detection and strike |
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| A variety of OAM features | Firmware updating | used with the remote server | |
| Reset, status inquiry | |||
| Self-testing | |||
| Parameter configuration | |||
| Networking | Multi-device networking | observe the online/abnormal status of each device |
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| Remote control through mobile terminals | viewing the operating interface of the device system | ||
| receiving alarm information | |||
| viewing the black and whitelist | |||
| turning on defense function | |||
| Data security | High reliability and security | certificate management and data encryption | |
Interface Showcase
As shown in the figure, one can clearly see all the sensors included in the current detection equipment, and the perfectly constructed fraud device it contains.
