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DedroneRapidResponse Multi-Layered Mobile Drone Detection Unit
Dedrone
Multi-Layered Mobile Drone Detection Unit
DedroneRapidResponse is our same AI-powered drone detection, tracking and identification (DTI) solution built into a tow-behind trailer. This anti-drone solution is perfect for law enforcement agencies and other organizations that need a more portable drone detection system that can detect and identify UAVs over 5km away.
Set up DedroneRapidResponse in 20 minutes or less. The unit is very mobile and easy to transport via truck or SUV, comes with a self-contained generator, and multiple trailers can be networked together for larger public events.
Our global customer base of agencies and institutions using DedroneRapidResponse includes:
South Carolina Law Enforcement Division
St. Petersburg, Florida Police Department
Preakness Stakes 146
And many more
Next Gen AI-Driven C2
Dedrone has gone far beyond sensor correlation to create an AI-Driven Autonomous C2 platform.We leverage both algorithm-based and machine learning-based techniques like movement model filters and convolutional neural networks to virtually eliminate false positives.
DedroneRapidResponse is our same AI-powered drone detection, tracking and identification (DTI) solution built into a tow-behind trailer. This anti-drone solution is perfect for law enforcement agencies and other organizations that need a more portable drone detection system that can detect and identify UAVs over 5km away.
Set up DedroneRapidResponse in 20 minutes or less. The unit is very mobile and easy to transport via truck or SUV, comes with a self-contained generator, and multiple trailers can be networked together for larger public events.
Our global customer base of agencies and institutions using DedroneRapidResponse includes:
South Carolina Law Enforcement Division
St. Petersburg, Florida Police Department
Preakness Stakes 146
And many more
Next Gen AI-Driven C2
Dedrone has gone far beyond sensor correlation to create an AI-Driven Autonomous C2 platform.We leverage both algorithm-based and machine learning-based techniques like movement model filters and convolutional neural networks to virtually eliminate false positives.
