A new method is inspired by flower flies for drone detection

The drone industry has seen rapid development in recent years. However, the detection of drones has also gained importance as they have been widely used as weapons or surveillance tools. A new study has made a significant improvement in long-range drone detection by analyzing flower flies’ eyesight and using signal processing algorithms.

Flower fly effect in drone detection

A new study led by the University of South Australia and Flinders University reversed the vision systems of flower flies, which are capable of seeing targets even in low-light environments. He then applied the concepts of signal processing of the visual system to the acoustic field.

The developed system showed 30% to 49% higher performance in detection ranges, depending on the drone type and conditions, according to existing studies. In this way, a drone could be detected 3-4 kilometers away in open terrain, the researchers said.

Researcher Anthony Finn, Professor of Autonomous Systems: “Bio-sight processing has been shown to greatly increase the range of drone detection in both visual and infrared data. However, using an algorithm based on the visual system of flower flies, very small and quiet ones We’ve shown that we can get clear acoustic signatures of drones, including drones.” made statements.

It is stated that the developed system can be used to detect the location of unauthorized unmanned aerial vehicles, considering that they pose significant threats to airports, individuals and military bases. The researchers say their next goal is to increase the range of the system.