As unauthorized drone activity poses increasing challenges for airports, critical infrastructure, government facilities, stadiums, and high-profile events, organizations are actively deploying counter-unmanned aerial systems (C-UAS). Two leading solutions in the lower airspace security sector are AirSentinel and Dedrone
As drones become more common around airports, critical infrastructure, industrial facilities, public events, and other sensitive locations, organizations need reliable ways to identify and monitor unauthorized aircraft. This has increased demand for advanced drone detection systems and anti-drone detection systems that can provide real-time airspace awareness.
Two names that frequently come up when evaluating drone detection technology are AirSentinel and Dedrone.
Both companies offer technologies designed to detect, identify, and track drones, but they take somewhat different approaches. So, which drone detection system is better?
The answer depends on the organization's operational requirements, the type of drones it needs to detect, the sensing technologies required, and how the system needs to integrate with existing security infrastructure.
A drone detection system is designed to identify and monitor unmanned aircraft operating within a defined area.
Modern systems can use technologies such as:
● Radio frequency (RF) sensing
● Remote ID detection
● Radar
● Optical and thermal cameras
● Sensor fusion
● Artificial intelligence
● Direction finding and geolocation
A complete anti-drone detection system can provide security teams with information about where a drone is located, how it is moving, and, depending on the technology and aircraft, additional information about its identity or operator.
AirSentinel's Airspace Monitoring Systems (AMS) are built around RF and Remote ID sensing, with different configurations designed for different operational requirements.
The AMS family includes the AMS V10, AMS Pro, and AMS Pro Max. The V10 focuses on high-density Remote ID sensing, while Pro configurations add capabilities for supported DJI signals and advanced supported drone identification.
AirSentinel also offers a layered approach. Its architecture can combine AMS RF sensing with Echodyne radar and optical or thermal cameras. This allows security teams to combine different sources of information rather than relying on one detection technology.
Another important part of AirSentinel's platform is Atlas, which connects sensor information and provides APIs for integration with existing command, control, security, and intelligence platforms.
Dedrone takes a broad sensor-fusion approach to airspace security.
Its DedroneTracker.AI platform can process information from multiple types of sensors, including RF, radar, video, and acoustics. The platform uses this information to detect drones, determine drone and pilot locations, and prioritize potential threats for operators.
Dedrone also offers a range of RF sensors. Its current sensor portfolio includes the RF-160, RF-310, RF-360, and RF-560, with capabilities for drone detection, classification, and localization. Dedrone states that its RF sensors can identify a wide range of commercial, hobbyist, and homemade drones.
This makes Dedrone a strong option for organizations looking for a broader counter-UAS ecosystem built around sensor fusion and threat analysis.
AirSentinel's AMS platform places significant emphasis on RF and Remote ID intelligence. Depending on the configuration, AMS can receive Remote ID broadcasts and supported DJI O1–O4 OcuSync Drone ID signals. AMS Pro Max adds advanced supported DJI and selected Autel capabilities.
Dedrone also uses RF detection but combines it with other sensor types through DedroneTracker.AI. Its ecosystem supports RF, radar, video, and acoustic inputs.
For organizations primarily interested in RF and Remote ID intelligence, AirSentinel may be an attractive option. Organizations wanting a broader multi-sensor threat-detection platform may prefer Dedrone's approach.
Remote ID is increasingly important because it can provide information such as aircraft identification, position, altitude, speed, direction, and, where available, control-station information.
AirSentinel's AMS Remote ID receiver supports Bluetooth and Wi-Fi Remote ID reception across supported configurations. The company states that configured sensors can track hundreds of supported targets simultaneously.
Dedrone also supports Remote ID but emphasizes that Remote ID alone should not be considered a complete airspace-security solution because drones can operate without transmitting Remote ID information.
This is an important consideration when selecting an anti-drone detection system. Remote ID should generally be considered one layer of detection rather than the entire security strategy.
AirSentinel is designed with an open architecture. Its Atlas platform can ingest compatible third-party RF, radar, optical, and ADS-B information and send available intelligence to external C2 and security platforms through APIs.
Dedrone similarly emphasizes sensor fusion through DedroneTracker.AI, combining multiple sensor types to create a more comprehensive airspace picture.
For buyers, the important question is not simply which company has more sensors. It is whether the system can integrate with the organization's existing security and command infrastructure.
There is no universal winner between AirSentinel and Dedrone.
AirSentinel may be a strong choice if you prioritize:
● Remote ID and RF-based drone intelligence
● Supported DJI signal detection
● Scalable AMS sensor configurations
● Open APIs
● Integration with existing C2 or security platforms
● A layered architecture combining RF, radar, and optical systems
● Real-time airspace intelligence
AirSentinel states that its AMS sensors can provide live-track data through cellular connectivity, with typical delivery in under one second depending on configuration and connectivity.
Dedrone may be a strong choice if you prioritize:
● Multi-sensor drone detection
● RF, radar, video, and acoustic inputs
● Drone and pilot localization
● AI-based threat analysis
● Large drone protocol libraries
● A broader counter-UAS security ecosystem
Dedrone says its DedroneDNA library covers more than 200 drone types from 70 manufacturers, including DJI, Zala, and various FPV and homemade drones.
Before purchasing a drone detection system, organizations should evaluate more than the brand name.
Consider:
Detection coverage: How large is the area that needs to be monitored?
Drone types: Do you need Remote ID detection only, or must you detect non-cooperative and non-Remote-ID aircraft?
Integration: Can the system connect to your existing security, C2, or intelligence platform?
Identification: What information can the system provide about the aircraft?
Sensor fusion: Do you need RF, radar, cameras, thermal imaging, or multiple sensing technologies?
Scalability: Can additional sensors be added as your security requirements grow?
Operational workflow: How quickly can your security team understand and respond to a detected flight?
When comparing AirSentinel vs Dedrone, the better choice depends on the mission.
AirSentinel offers a flexible architecture centered around AMS RF and Remote ID sensing, with Atlas providing sensor integration, APIs, historical context, alerting, and connectivity to other platforms. Its architecture can also incorporate radar and optical systems for layered detection.
Dedrone provides a mature multi-sensor approach centered around DedroneTracker.AI, with RF, radar, video, and acoustic sensing capabilities designed to support comprehensive airspace security and threat prioritization.
Ultimately, the best anti-drone detection system is the one that matches your site's threat profile, coverage requirements, drone types, integration needs, and operational workflow.
For organizations evaluating both solutions, a practical approach is to define the detection requirements first and then compare AirSentinel and Dedrone against those specific requirements rather than choosing solely based on brand, features, or price.
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A drone detection system is a security solution designed to identify, locate, and monitor drones operating within a specific area. Depending on the technology, it may use RF signals, Remote ID, radar, cameras, thermal imaging, or multiple sensors.
An anti-drone detection system is designed to detect and track unauthorized or potentially suspicious drones. It can form the detection layer of a broader counter-UAS security solution.
Neither system is universally better. AirSentinel can be a strong option for organizations prioritizing RF and Remote ID intelligence, open integrations, and scalable sensor configurations. Dedrone may be better suited to organizations looking for a broader multi-sensor counter-UAS platform.
Yes. AirSentinel's AMS solutions support Remote ID detection, allowing organizations to receive information from compatible drones that broadcast Remote ID signals.
Yes. Dedrone supports Remote ID as part of its broader drone detection capabilities. However, Remote ID is only one detection method, and not every drone will necessarily provide Remote ID information.
AirSentinel offers configurations with additional RF capabilities designed to detect and identify certain drones beyond standard Remote ID detection. The exact capabilities depend on the AMS configuration and supported drone protocols.
Both platforms can use RF-based detection, while their broader architectures support additional sensing technologies. AirSentinel can integrate RF, radar, optical, and thermal sensors through its platform, while Dedrone's ecosystem can combine RF, radar, video, and acoustic data.
Both can be considered for critical infrastructure, but the right choice depends on the site's requirements. Organizations should compare detection coverage, sensor types, integration capabilities, drone identification, scalability, and operational requirements before selecting a system.
Drone detection system pricing varies significantly depending on the technology, detection range, number of sensors, software, installation, integrations, and subscription requirements. AirSentinel publishes pricing for several AMS configurations, while enterprise deployments may require customized pricing.
Yes. Integration is an important part of both platforms. AirSentinel's Atlas platform provides APIs and supports integration with compatible third-party sensors and command-and-control systems. Dedrone also supports multi-sensor integration through its software platform.
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