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The AI part is a sideshow. Its not actually needed or useful for that system. the object tracking is the bit thats actually needed. Converting speech->text->v
by KaiserPro 2y ago
The AI part is a sideshow.
Its not actually needed or useful for that system.
the object tracking is the bit thats actually needed. Converting speech->text->vectors is really not that that useful.
Its perfectly possible to build self contained offline, reasonably accurate "anti-human" gun turret now. You don't need chatGPT for that. If you're in a hurry, YOLO will do most of the work for you.
You might need it to raise money from people with too much cash though.
edit ok so whats actually hard then?
Detecting "enemies" in anything other than a small room is actually quite hard. Sure you can detect motion, but getting a range on that "enemy" is tricky.
Sure you can use camera arrays, but that only give you ~30 meters without extra resolution. Radar works, but then you either have to get good at human classification with radar (perfectly possible, but no where near as off the shelf as camera based models)
- moffkalast 2y agoRadar is extremely tricky, it's hard to get raw data out of automotive grade modules and they give really odd processed results outside of a road environment. An Oak-D long range stereo camera has an 8% error at 300m though. Could also use a 1D lidar.
- dr_kiszonka 2y agoI am curious about your 1D lidar siggestion. Would you use it to detect changes in position that approximate the result of human gait?
- moffkalast 2y agoWell you have the direction vector towards the detected person from yolo right? Sampling that direction with a range finder shouldn't be impossible with a decent pan tilt. Might be a problem if they're moving fast I suppose, depending on the distance. A solid state lidar with beam steering would be better, but those are still rather expensive.
- KaiserPro 2y agoyeah they are tuned to give auto based stuff, so great for anti car-truck (kinda) The hard part is the sensor fusion, blending wide angle imprecise sensors with precise but narrow field of view sensors. I mean its possible to do in opensource (I'm doing it currently, and I don't really have a computer vision background) However I'm only using cameras, as radar is too far removed from my knowledge base to productive.
- harrall 2y agoSure, if you hang around a lot of engineers, it’s not that impressive. Undergrads were building robots in the lab next door in university. Heck I’ve seen some sick robots built by high school students. But most people think it’s cool. It’s entertainment. But yeah, the AI part is absolutely not interesting at all.
- aaron695 2y ago[dead]