41–50 of 58 posts
Out of curiosity, what are the possible use cases for object detection at >100 fps? I assume it would have to be objects that move very fast, i.e. nothing ordinary that I can think of. [edit] actually stupid question. I assume it's more about throughput than fps, i.e. be able to process lots of streams on the same machine, for instance for doing mass analysis of CCTV streams.
I see this and I immediately think of "trash sorting" at ultra high speed. If one can combine this with a bunch of accurate (laser precision) air guns, to shoot and move individual pieces of trash you can sort through a truck load of trash in a matter of seconds, perhaps in the air while they are being dumped! compare this approach with how we are currently doing it [0] - Somebody should get Elon Musk on this project…
Here is a diagram: https://www.satake-usa.com/what-is-optical-sorting.html
I see this and I immediately think of "trash sorting" at ultra high speed. If one can combine this with a bunch of accurate (laser precision) air guns, to shoot and move individual pieces of trash you can sort through a truck load of trash in a matter of seconds, perhaps in the air while they are being dumped! compare this approach with how we are currently doing it [0] - Somebody should get Elon Musk on this project…
I see this and I immediately think of "trash sorting" at ultra high speed. If one can combine this with a bunch of accurate (laser precision) air guns, to shoot and move individual pieces of trash you can sort through a truck load of trash in a matter of seconds, perhaps in the air while they are being dumped! compare this approach with how we are currently doing it [0] - Somebody should get Elon Musk on this project…
Out of curiosity, what are the possible use cases for object detection at >100 fps? I assume it would have to be objects that move very fast, i.e. nothing ordinary that I can think of. [edit] actually stupid question. I assume it's more about throughput than fps, i.e. be able to process lots of streams on the same machine, for instance for doing mass analysis of CCTV streams.
Roulette spin predictor
Out of curiosity, what are the possible use cases for object detection at >100 fps? I assume it would have to be objects that move very fast, i.e. nothing ordinary that I can think of. [edit] actually stupid question. I assume it's more about throughput than fps, i.e. be able to process lots of streams on the same machine, for instance for doing mass analysis of CCTV streams.
Roulette spin predictor
I see this and I immediately think of "trash sorting" at ultra high speed. If one can combine this with a bunch of accurate (laser precision) air guns, to shoot and move individual pieces of trash you can sort through a truck load of trash in a matter of seconds, perhaps in the air while they are being dumped! compare this approach with how we are currently doing it [0] - Somebody should get Elon Musk on this project…
Sorting by optical recognition and air guns to separate a falling curtain of product into two output streams is already a product. The development of these machines are the reason that 10 or 15 years ago you stopped seeing bad beans in bulk bean bags. I am involved in the tea industry where they are used to sort tea by grade - stems, bad leaves, broken leaves, full leaves. Here is a diagram: https://www.satake-usa.co…
Earlier quoted context omitted.
Self-driving. Ideally you want something around 1000fps and low latency, so it has time to react. I'm sure military and sports applications are obvious too.
I don't think you'll find a 1000 fps camera on a "standard" AV platform. And if you did, I imagine it would be too noisy to be useful without a ton of illumination.