The latest versions of Shahed can reach 5000m in altitude, which would largely be inaudible on the ground.
I suspect the Shaheds are going higher to mitigate AA ground fire. Higher up you have to send a missile or interceptor up.
It’s a trade off.
What's with that "vs" trade-off?
You're saying avoiding detection requires high altitudes.
What do interceptors have to do with that?
A cheap radar takes an order of magnitude less power to run on hardware that is cheaper than an LLM and can see way farther than a camera.
I may have even discovered it from hacker news, I forget now.
There are extremely sensitive differential pressure sensors (like SDP600-25Pa) available from Sensirion that aren't overly expensive.
Use one differential side and connect it to a kitchen funnel for directional listening the other one to a plastic bottle with a tiny hole in it. This way the sensor will "Null" out the environmental pressure (which the bottle follows very very slowly) from both inputs. It then only will pick up everything high frequency which is left over (and the bottle cannot follow because of its small hole).
This way I was able to detect washing machines that have a physical link to a house from many hundred meters (machine spinning -> house wall shaking -> pressure waves) away. The speed pattern of washing machines when spinning is very unique (several steps over many seconds).
Add this with some GPS PPS frame timestamping and you should have a nice tracking network that doesn't require a lot of bandwidth. But maybe the setup must switch to analog differential pressure sensors as these Senirion-I2C sensors do not have a Sync ping for super precise timestamping.
Nevermind drones, and war, that's all fine; but I need to know more about this. Is there a phrase or name for this I could use to find more information, maybe example schematics?
I'm 99.5% sure if you throw Claude with a datasheet on it will Slop out working code for a ESP32 with ESP-IDF.
Somehow there has been little VC interest in this idea.
Curmudgeon Ai?
My experiments never had a dependency on linearity.
The SDP600-25Pa speaks I2C and only has a handful of commands.
Just read it out with a microcontroller you love (like ESP32) and send the samples to a host for analysis. The ESP32 has limited I2C time stretching capabilities limiting it in the highest resolution modes of the sensor - but often that's not a big factor.
To not overwhelm the poor processor and Wifi maybe better a bunch of frames (like 512 or more).
Only pressure waves coming into all holes at the same time will reach sensor.
Never tested it. Only a Gedankenexperiment as Einstein would say.
Sensirion is using a thermal flow-sensing principle method which is basically a heated plate that cools/heats up when air passes it - making it extremely sensitive in this range.
Interceptor economics makes more sense when you reason about the bigger picture. The point is to buy you time to remove the supply chain and the stocks so that you're not trading 1:1 forever. It's a stop-gap, or at least it's supposed to be.
However that only works in a war where you have air and informational superiority. In a peer-like conflict with information asymmetries and air parity (no way to remove the opponent's industrial base), such as Ukraine-Russia, the intercept economics are less appealing.
Sending up a plane that costs $500/hour to operate to take down a few Shaheds an hour works out really well.
YouTube has plenty of videos of these guys going up and just shooting them out of the air.
Detection is facilitated by radar, low altitude means flying under the radar (due to curvature of the Earth) - except radar network is now so dense, it in practice can't work anymore. So they can fly low or high they will be detected anyway - but flying high reduces interceptor's reach and makes intercept geometry harder, giving them better chances to slip through.
The distance to the horizon at sea level, is 5km, a high flying drone only increases that.
With a 25k range and a 10k ceiling, and a stupid low unit cost it is dead easy to deploy this en mass to protect vital infrastructure and deny lower visibility routes (valleys, places where detection range is short).
They (Ukraine) are heavy users of YOLO (image model) that runs on some very low end hardware (sub .35 watt for the most efficient models) - and have shown it to be effective for terminal guidance.
The US has a budget item for 2027, DAWG (defense autonomous war group) - that requested 54 billion dollars. This is larger than the USMC's entire budget. This is a quite admission (another one) that the US is far behind, and the things that are going on in the Ukraine are, terrifying.
The solution is going to be multi-modal (optical + audio) and imperfect. The above poster is correct that an ordinary camera with computer vision (not an LLM, of course) is going to be part of the multimodal defense in depth.
Shahed-type one-way attack drones are important to defend against, but not as impactful in terms of frontline body count, given they just slam into a pre-programmed target.
As far as I know, stopping fiber optic fpv drones leans more on physical barriers that catch the fiber (eg road nets) rather than trying to detect and destroy the drone. It’s usually too late by the time you can hear or see a drone that size.
What does the asymptote looks like as defender and aggressor keep iterating. Who has the advantage? Can optical technology get so good at detecting (at least when it isn't raining) that eventually the balance shifts in favor of the defender?
for what you are talking about, audio is a great option
https://www.currentaffairs.org/news/how-elon-musk-killed-hun...
- https://i.haasie.com/KeO.mp4
Can you please provide videos of them doing the same gesture?