AI Powered Signal Analysis Drone Detector For Identifying Classifying Unauthorized Drones

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AI Powered Signal Analysis Drone Detector For Identifying Classifying Unauthorized Drones
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Features
Specifications
Detection Bandwidth:: Customizable From 70 MHZ - 6GHZ
Drone Location: Within 3km
Detection Range: 360 °
Stability: Premium
Detection Rate: ≥ 99.9%
Size: 500*500*680mm
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AI Powered Signal Analysis Drone Detector

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Unauthorized Drones Detector

Basic Infomation
Place of Origin: Shenzhen,China
Brand Name: Polaris
Certification: CE,ISO9002
Model Number: Hobit D12 pro
Payment & Shipping Terms
Packaging Details: Durable case or box
Delivery Time: In 7 -14 works day
Payment Terms: T/T, Paypal , Etc.
Supply Ability: 50 Pcs/month
Product Description

Drone Detector with AI-Powered Signal Analysis for Identifying and Classifying Unauthorized Drones

 

Introduction

 

Key advancements include dynamic protocol decoding through cognitive radio-based parsing to detect consumer and custom-built UAVs, and multi-sensor fusion​​ correlating RF signatures with acoustic profiles and micro-Doppler radar data to reduce false positives. The system employs reinforcement learning to adaptively adjust signal-to-noise ratio (SNR) thresholds, achieving 98.5% detection probability at -120dBm sensitivity. A hybrid database stores over 10,0000 verified drone fingerprints, while  GAN-generated synthetic signals train the AI model to recognize emerging threats. Field tests demonstrate a 5000-meter detection range with ≤2° azimuth error, capable of differentiating 15 concurrent drones in shared spectrum bands. For defense applications, it integrates with counter-UAV jammers to disrupt unauthorized drones by targeting vulnerabilities in synchronization signals.

 

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

 

other customized frequency bands

Remote OAM

Unattended Mode

Automatic detection and strike

 

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

 

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

 

From this diagram, it can be clearly seen that the currently identified unmanned aerial vehicles (UAVs) and their models are displayed, and at the same time, the detection directions of these models are also shown.

 

AI Powered Signal Analysis Drone Detector For Identifying Classifying Unauthorized Drones 0

 

AI Powered Signal Analysis Drone Detector For Identifying Classifying Unauthorized Drones 1

 

 

 

 

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