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Dedrone

cyber
Operating in:USGermany

Dedrone uses sensor fusion C-UAS — combining RF, radar, optical, and acoustic detection — competing with Sentrycs CoRF in the detection segment but relying on jamming for countermeasures.

Products

DroneDefender

c-uashuman-operatedconnectivity

DroneDefender is a handheld, rifle-style device that neutralizes drones using RF disruption.

Range
0.6 km
Tech Specifications

Operates on 433MHz, 915MHz, 2.4GHz, and GPS bands for jamming; directional antennas for focused disruption

Software & AI

Operated with manual controls for targeting drones, no software stack apart from firmware

Integration Possibilities

Operates independently but data can be logged in DedroneTracker

Why This Design

Provides a portable solution to quickly disrupt and neutralize drone threats in restricted or sensitive areas.

Enables

Allows security personnel to safely intervene in drone threats without collateral damage.

Tradeoffs

Cannot track or identify drones; limited range effectiveness.

drone disruptionforced landing

DedroneCloud

networkhuman-operatedcyber

DedroneCloud consolidates data from Dedrone's systems to provide comprehensive drone activity analysis.

Tech Specifications

Encrypted data transmission, compliance with GDPR, multiple data formats supported

Software & AI

Cloud-based analytics platform; uses AI-driven insights for threat assessment and reporting

Integration Possibilities

Integrates with Dedrone hardware products for enhanced data visualization and threat analytics

Why This Design

Allows real-time monitoring and historical data analysis to track drone trends and incidents.

Enables

Facilitates proactive airspace planning and long-term security strategy development.

Tradeoffs

Relies on interconnected systems for data; cloud dependencies may introduce latency issues.

data analyticsthreat analysissystem management

DedroneTracker

c-uasai-assistedcyber

DedroneTracker provides real-time airspace monitoring and protection against unauthorized drones.

Tech Specifications

Integration with various sensors including RF, radar, video; uses DedroneDNA database for drone identification

Software & AI

Machine learning algorithms for drone pattern recognition, REST APIs for integration with third-party systems

Integration Possibilities

Compatible with security operation centers, integrates with VMS, PSIM systems

Why This Design

Designed to detect, classify, and mitigate rogue drone incursions using AI.

Enables

Enables security teams to proactively manage drone risks and protect sensitive airspace.

Tradeoffs

Does not physically neutralize drones; relies on detection and alert capabilities.

drone detectionclassificationalerting

DedroneRF-160

sensorhuman-operatedconnectivity

The DedroneRF-160 sensor provides long-range detection of drones by analyzing RF signals.

Range
5 km
Tech Specifications

Detects RF emissions on 433MHz, 900MHz, 2.4GHz, and 5.8GHz bands; supports multiple RF protocols

Software & AI

Compatible with DedroneTracker for processing and classification

Integration Possibilities

Can be paired with Dedrone's tracking software for enhanced analysis

Why This Design

Helps identify and assess potential drone threats using unique RF characteristics.

Enables

Improves situational awareness in complex environments by identifying rogue drones via their RF signatures.

Tradeoffs

Limited by line-of-sight conditions; cannot provide kinetic mitigation.

drone detectionRF spectrum analysis

Compatibility Analysis

4/15/2026

Establish a development partnership focused on integrating Dedrone's detection and tracking capabilities with Roboteam's ground robotic platforms for a unified, AI-driven multi-domain defense system. This collaboration can focus on joint operations scenarios, increasing competitive advantage in defense contracts targeting air and ground interoperability.

System IntegrationAI Capability

Establish a development partnership focused on integrating Dedrone's detection and tracking capabilities with Roboteam's ground robotic platforms for a unified, AI-driven multi-domain defense system. This collaboration can focus on joint operations scenarios, increasing competitive advantage in defense contracts targeting air and ground interoperability.