Solution
Gridence provides a multi-sensor situational awareness system for monitoring low-altitude airspace. The platform combines aviation traffic data, drone detection technologies, and GNSS interference monitoring to create a reliable operational picture of the surrounding airspace.
The system is designed for airports, drone test centres, urban environments, and operators of critical infrastructure who need better awareness of activity occurring in their airspace.
Real-time airspace picture
Low-altitude airspace is becoming increasingly complex as drones and manned aircraft operate in the same environment. Maintaining a clear understanding of surrounding airspace activity is essential for safe and efficient operations.
The Gridence system provides operators with a real-time picture of aircraft and drone traffic near their operations. By combining information from multiple sensors and data sources, the system creates a continuously updated operational view of the local airspace.
Multi-sensor data fusion
Gridence integrates cooperative aviation traffic data such as ADS-B, FLARM, OGN, ADS-L and Remote ID together with additional sensors when available. This creates a unified view of nearby airspace activity and reduces the need to monitor multiple separate systems.
Portable deployment for temporary operations
Gridence’s cooperative ground infrastructure can also be deployed as a portable solution, enabling rapid setup in locations where permanent installations are not feasible.
This makes it particularly well suited for temporary drone test areas, field exercises, and ad-hoc operations where reliable situational awareness is required without long installation processes.
The system can be quickly deployed to monitor airspace activity, providing operators with real-time visibility of cooperative traffic and supporting safe and controlled test operations.
Drone detection
The rapid growth of drone operations has created new challenges for airports, testing centres, and critical infrastructure operators. Understanding when and where drones are operating near sensitive areas is increasingly important for maintaining safety and operational continuity.
Gridence detects drones operating near the monitored area and displays their position in real time, providing early awareness of drone activity that may affect ongoing operations or enter restricted airspace.
Identification through broadcast signals
Many commercial drones transmit identification data through broadcast systems such as Remote ID. Gridence receives and processes these signals to identify nearby drones and display their position and movement within the operational airspace picture.
Detecting non-cooperative drones
In addition to broadcast-based detection, the system can integrate sensors capable of detecting non-cooperative drones that do not transmit identification data. The modular architecture allows different sensor types to be integrated depending on the operational environment.
Locating the drone operator
When supported by available data sources and sensors, the system can also help estimate the location of the drone operator, improving situational awareness and supporting faster responses to unauthorized drone activity.
Visual confirmation and evidence recording
When an alert is triggered, a high-performance zoom camera is directed towards the target and attempts to lock on and records visual evidence of airspace violations, even in low-light conditions. This supports post-incident analysis and, when needed, provides documentation for authorities.
AI-based traffic analysis and alerts
Gridence continuously analyses airspace activity using AI-based traffic analysis to understand normal traffic behaviour and detect unusual or potentially risky activity.
Configurable alerts
The system allows operators to define monitored areas and operational boundaries. Alerts can be generated if an unauthorized aircraft or drone enters the monitored airspace. Similarly, the system can trigger alerts if an aircraft leaves its assigned or expected operating area.
AI-based traffic analysis helps distinguish between normal air traffic patterns and unusual or potentially risky behaviour. Sensors detecting cooperative traffic provide valuable baseline data about normal traffic patterns and help differentiate between cooperative and non-operative aircraft, improving the system's ability to identify anomalies and generate meaningful alerts.
What happens when an alert is triggered?
When an alert is triggered, a high-performance zoom camera is directed towards the target and attempts to lock on and capture visual evidence of the incident. AI-based analysis can suggest appropriate response actions based on the detected activity.
Traffic information broadcast to aircraft
Situational awareness of nearby air traffic is essential for safe flight operations, especially in environments where aircraft and drones share the same airspace.
Gridence broadcasts local traffic information to nearby aircraft through an ADS-B UAT ground station, giving pilots real-time awareness of surrounding airspace activity. Traffic data appears directly on cockpit displays or tablet navigation apps such as SkyDemon and ForeFlight, without needing air traffic control coverage. This improves safety especially at regional airports and airfields where traditional surveillance is limited.
Aircraft equipped with compatible avionics can display this information directly on cockpit displays, while pilots using tablet-based navigation applications can visualize nearby traffic through compatible receivers.
The ADS-B UAT ground station transmits traffic and flight information services (TIS-B and FIS-B) to aircraft on the 978 MHz frequency using the UAT protocol. This technology is widely used in the United States and is supported by most major avionics manufacturers as well as electronic flight bag (EFB) applications. In addition, several low-cost portable receivers are available that allow pilots to receive these broadcasts from nearby ground stations.
This capability is particularly valuable at regional airports and aerodromes without radar coverage, where pilots may otherwise have limited access to traffic information.
GNSS interference awareness
Satellite navigation is a critical component of modern aviation and drone operations. Aircraft, drones, and many operational systems rely on GNSS signals for positioning, navigation, and timing.
The Gridence system monitors the radio environment to detect GNSS interference such as jamming or spoofing and alerts operators when navigation signals may be degraded or unreliable.
Early detection helps operators understand when unexpected behaviour in aircraft or drone navigation systems may be caused by signal interference rather than equipment faults.
This capability improves operational resilience for airports, drone test centres, and critical infrastructure sites where reliable navigation data is essential.