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5 yr. ago

  • It's a NUC so sufficiently poweful. Proxmox isn't fat by any means. If you run your stuff in containers then Proxmox (I aways install it on top of Debian) is your hypervisor is your base system. You typically don't install stuff on your hypervisor, though I do some very select things.

  • The small drones do not require a long range use, since you are going to detect them only late, and need to terminate them within few seconds.

    I have seen an improvised optics on a Youtube channel where a 2 kW continuous operation fiber laser had enough energy flux at 100 m or farther.

  • The point of modern deep learning approaches is that they're extremely easy on the developer skill. Decades ago realtime machine vision needed a machine vision expert, these days you throw the hardware at the problem at learning stage, and embedded devices to run the results are stupidly powerful (doesn't even take a Jetson board), if you compare to what has been available even a decade ago.

  • These small drones attack single people and small infantry groups as well as small vehicles up to heavy armor. With laser there is the issue of portability, especially power supply. Also cheap reflective coating requires very high power densities for a kill. Apart from detection and tracking which can use fused microphone array and camera array data the time to react is very short and it has to provide high density of fire on the cheap. I've seen some shotgun use with very limited effectivity. Ditto nets. Maybe antidrone swarms can work, but power limits loitering time. Swarm attacks can easily overwhelm protection.

    It looks like a hard problem.

  • That's what it costs in Russia and North Korea. In the EU the costs are as I cited. And there are no production capacities at the volume required. China stopped exporting the specific type of cotton used for cordite production. Nitric acid is expensive and hard to get.

    You can print billions of banknotes easily. You cant do that with millions of shells.

  • Tracking a moving object in realtime with video is a standard task for a machine learning engineer. You can do it on an embedded platform with ML hardware support. I don't know what hardware newer Lancets use but they can already do it according from developer reports from Telegram channels like e.g Разработчик БПЛА.