In recent years, cheap and easily available drones have shut down entire airports and even been used in assassination attempts on national leaders.
This has fired global interest in new and better ways to detect these tiny flying machines.
Now researchers from University of South Australia and Flinders University are reporting a marked improvement in detection ranges, thanks to an unlikely source: the hoverfly.
By painstakingly measuring and modeling the neurology of the hoverfly’s vision system, they’ve built an algorithm that extends detection ranges by up to 50 per cent, the researchers say.
The findings were published in The Journal of the Acoustical Society of America.
How do you map a hoverfly’s brain?
Very slowly, and with a very sharp electrode.
For well over a decade, Russell Brinkworth, an expert in autonomous systems at Flinders University, has been assembling a model of the hoverfly’s brain. But why the hoverfly?
“Flies are much smaller and less complicated than people,” he said.
“Also, flies are really good at flying. Flies are so good at flying, we call them flies. So if you want to know how to fly, looking at a fly for inspiration is a good idea.”https://www.abc.net.au/news/science/2022-03-15/hoverfly-brains-mapped-to-detect-drones-acoustic-signals/100908106