Drone Detection with Infrared Cameras | Tech Talk

The key question: Can thermal imaging effectively detect these drones, and what are the distances at which detection is possible?
Stan unveils the solution-introducing the Ventus HD 6-0.6, Sierra-Olympia's cutting-edge long-range Midwave Thermal imaging system. Watch as he addresses the effectiveness of thermal imaging for detecting small commercial drones and highlights the significant technological advantage offered by the Ventus HD 6-0.6 in various long-range imaging applications.
Join Stan in this engaging Tech Talk, where the conversation delves into the crucial role of thermal imaging technology in addressing the challenges posed by commercial drones in the wrong hands.
Contact us at SierraOlympia.com or [e-mail].

[@Adenistuff]

You guys should add object dection software make class of different types of drones this will be powerful tool in our defense in sky

[@MadComputerScientist]

Hmmm, while this is very impressive demonstration on its own, one can't help but wonder about how much operational relevance it actually has. Sure the drone was "detected" 4km out. But only as a tiny blurry blob, and with the system staring directly at it. The website states the camera system's FOV is "8.8º-0.6º", so to get solid coverage of the entire horizon at that distance would require... a lot of these! I didn't see a price listed on the site, but I can't imagine that'd be cheap. Furthermore, even with the most advanced AI assistance, it must be incredibly difficult to identify a threat in all the noise of moving background, birds, bugs, turbulence, etc. So even having the drone in-frame wouldn't guarantee detection. The fact the video editor decided to use a circle to highlight the drone in these clips speaks to that. All in all, not really sure what this test proves in regards to dronetection. The Ventus could certainly be useful in conjunction with some sort of hybrid integrated sensor network, but that's not what was discussed above. What'd be fun and would prove a lot more is to zip-tie a paperweight to the bottom of a Mavic and see how close a pilot could get to directly over the observer before the drone was spotted. As the pilot and spotter got more experience and switched off, it'd get progressively more challenging for both as the pilot tried different tricks and the spotter got better at spotting. That'd get some actually relevant numbers.