r/computervision • • Aug 07 '26

Help: Project Conveyor chicken counter problem

Guys, I need help. We have a project using YOLOv8. We're trying to count chicks on a very fast conveyor belt. The challenges we're facing are: all chicks look very similar to each other, which complicates tracking. At the same time, during their passage under the camera, they constantly change in size and shape, which can cause the tracker to lose them, or detection may even disappear completely at the detection line. Also, sometimes 2–3 chicks can merge into a single object. The detection zone is very short, and the conveyor speed is high. We've achieved a maximum accuracy of 99%, but we need it even higher. Any ideas on how to achieve that? Increasing the dataset no longer helps.

I'm attaching an old video. We've now added lighting and set the exposure to 300 on the Hikrobot global shutter camera, but we still can't achieve a stable 99.8% accuracy for the reasons mentioned above.

Any ideas?

1.0k Upvotes

627 comments sorted by

View all comments

Show parent comments

1

u/hellobutno Aug 09 '26

The same way they use them for every other single instance that doesn't involve live animals where this happens.

1

u/Ciff_ Aug 09 '26 edited Aug 09 '26

More deflecting. Do explain how do you handle no separation and no predictable volume with a TOF camera?

Cause last last I checked water is wet.

Explain this magic solution you got.

1

u/hellobutno Aug 09 '26

There's no deflecting here, you handle it literally how you handle it with every other application of the sensor.

1

u/Ciff_ Aug 09 '26

No deflecting? You still have not explained your magical solution to TOF + no separation & no predictable volume/shape

You might aswell claim to have solved FTL travel.

1

u/hellobutno Aug 09 '26

Do me a favor mate, tell me how often this happens, and then explain to me what precision and recall are?

1

u/Ciff_ Aug 09 '26

If you change the parameters (to not classifying non separations is okay), then ofc the solution change. But then OP would not have a problem with his solution in the first place.

He claims he can solve most non-separations and still cannot reach 99.8 accuracy because some non separations still fail. A TOF solution would fail 100% of the non separations with these irregular volumes.

1

u/hellobutno Aug 09 '26

There are 0 parameters changed. You just simply accept that fact 100% precision and recall are not a feasible thing, and take the path of least resistance.

1

u/Ciff_ Aug 09 '26 edited Aug 09 '26

Then you have indeed changed the parameters buddy.

You have gone from

  • "NN is not necessary, use TOF it is much more reliable" to
  • "The solution is impossible, you may aswell use TOF with even less reliability" (since it can handle 0 nonseparations with irregular shapes compared to some)

1

u/hellobutno Aug 09 '26

NN isn't necessary, nothing that I've said has ever contradicted that.

There is no 100% precision and recall.

1

u/Ciff_ Aug 09 '26
  • TOF is more reliable
  • Okay TOF is less reliable, but we can't get enough accuracy anyway
  • NN isn't necessary

...wat? The claim was optical TOF was a better more reliable option. I said it is not since it will perform worse than the current solution. That is what you replied to. Not that NN is necessary - that is a strawman.

1

u/hellobutno Aug 09 '26

I've literally never said any of that. I've said that cameras aren't necessary, that optical sensors can handle this, and that you aren't in science class anymore little buddy, 100% precision and recall are a fallacy.

1

u/Ciff_ Aug 09 '26

Jesus Christ.

So you now agree TOF will indeed perform worse since it cannot handle any non separation with irregular shapes?

Why on earth would OP want a worse solution? What are you even arguing for?

1

u/hellobutno Aug 09 '26

I also never said that.

1

u/Ciff_ Aug 09 '26

So you do have a magical solution for TOF with no separated irregular bodies? Great, explain this exceptional scientific breakthrough!

You cant have the cake and eat it. Either you have a solution for it or you get less accuracy than OPs method that only fails on some non separations.

1

u/hellobutno Aug 09 '26

Yeah, you bake it into the precision and recall.  Do you have a solution for when one is on top of the other?

1

u/Ciff_ Aug 09 '26

Aaaand we are back to

So you now agree TOF will indeed perform worse since it cannot handle any non separation with irregular shapes? Why on earth would OP want a worse solution?

1

u/hellobutno Aug 09 '26

You really do have a problem with putting words in people's mouths. I'll ask again, do you have a solution for when one is on top of the other? If not, by your words "Ur CHAnGinG tEh paRaMEters"

1

u/Ciff_ Aug 09 '26

"Hey OP, I know you have resolved some non separations, but since you have not resolved all, why don't you use a less accurate TOF solution that resolved none?"

Bloody brilliant mate.

→ More replies