Berita

This small device can crack the drone's position beyond 10km?

  Currently, with the widespread application of drones in military, security, civil and other fields, the demand for anti-drone technologies is increasing, and they are beginning to develop towards higher precision, longer distance and more scenarios. For example, multi-source positioning systems integrating multiple sensors, automatic identification and control technologies based on artificial intelligence will become important development directions of anti-drone technologies in the future.

The newly launched detection and positioning product DR600-A by Zhongke Zhipeng recently breaks through traditional technologies and integrates 4 types of drone detection and analysis technologies, namely radio detection, Drone ID protocol analysis, Remote ID analysis, and FPV image transmission detection technology. Its performance in terms of drone cracking speed, positioning accuracy, detection distance and other aspects has been significantly improved.

  Radio detection: Detect and identify drones by analyzing signals in the radio frequency spectrum, then conduct signal feature analysis using technologies such as identification processing algorithms and weak time-frequency feature extraction to achieve reconnaissance and direction finding of drone remote control and image transmission signals, and complete target classification and identification.

  Remote ID Parsing: Remote ID is a type of drone remote identification technology. By broadcasting the drone's identity information and flight status information, it enables ground stations or other devices to receive and identify such information within a certain range. It can provide the drone's model, SN code, longitude, latitude, altitude, return point information, as well as the location information of the "pilot".

  FPV Image Transmission Detection: FPV image transmission signals are the signals through which the drone transmits the captured first-person view images back to the ground control terminal in real-time. FPV image transmission detection devices can receive and parse these image transmission signals to obtain the drone's flight perspective images, thereby realizing the detection and identification of drones such as FPV racing drones.

  In practical applications, this device has undergone rigorous testing in various complex scenarios. At the same time, the device has also been demonstrated multiple times in numerous customer scenarios, which not only showcased its high performance but also won high recognition and praise.