Counter-drone detection refers to technologies and methods used to identify, track, and classify unauthorized drones in a designated airspace. These systems use RF scanning, radar, and acoustic sensors to detect drone activity before it becomes a threat.
Drones pose security risks, including attacks, collisions, espionage, smuggling, and airspace violations. All over the world, unauthorized drone activity shuts down airports, causing massive flight disruptions. Effective detection systems help prevent such incidents by identifying threats early.
Counter-drone detection systems use various technologies to identify and track unauthorized drones. RF detection analyzes drone communication signals, while radar detects movement and size. Electro-optical (EO) and infrared (IR) sensors provide visual confirmation and identification, and acoustic sensors detect drones by their sound signature.
Depending on the environment and threat level, systems may combine multiple methods for optimal detection and response. Once detected, the system can possibly classify the drone type, flight pattern, and possible intent, helping security teams respond effectively.
The most reliable drone detection methods include:
Yes. Advanced systems use RF-Cyber and knowledge-based classification to distinguish drones from birds, helicopters, and other airborne objects. This minimizes false alarms and enhances security response accuracy.
Drone detection technology is deployed in:
Detection systems are designed to identify and track drones but do not always include mitigation capabilities. However, some solutions, such as EnforceAir, provide both detection and mitigation capabilities and thus can both detect and safely neutralize unauthorized drones without causing disruption to the surrounding environment.