The RF Detector is a specialized surveillance device designed to detect, analyze, and classify radio frequency (RF) signals emitted by drones and wireless communication devices. By continuously scanning multiple frequency bands, the system identifies drone-related RF emissions within a physical transmission environment.

Leveraging intelligent algorithms and learned signal patterns, the RF Detector can accurately differentiate drones from other RF sources such as WLAN, Wi-Fi, Bluetooth, and commercial wireless networks. This capability significantly reduces false alarms and enhances operational efficiency, making it an essential component of modern counter-UAS solutions for restricted and high-security environments.

The system continuously scans a wide range of RF frequency bands to detect transmissions associated with drone communication links. Advanced signal processing and AI-driven classification algorithms analyze these signals in real time, enabling precise identification of drone activity even in RF-dense environments.

By distinguishing drone-specific RF signatures from common wireless signals, the system delivers high-confidence detection while minimizing false positives.