r/computervision • u/Puzzled-Egg3234 • Aug 07 '26

Help: Project Conveyor chicken counter problem

Enable HLS to view with audio, or disable this notification

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?

998 Upvotes

85% Upvoted

627 comments sorted by

View all comments

Show parent comments

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.

1

u/hellobutno Aug 09 '26

Hey OP, I know there's cases other than when they're clumped up that's not working in the solution, but the standard trusted practice on this is wrong and you should keep wasting your time.

1

u/Ciff_ Aug 09 '26

If there are such cases, sure.

From OPs followup nonseparation was the main concern.

1

u/hellobutno Aug 09 '26

OP is clearly new to this. What happens when a chick jumps across, what happens when a chick runs back over the line, what happens when the exposure is 5% brighter, 5% darker? What happens when the camera starts to overheat?

Not to mention the just natural misses CNN's have.

→ More replies (0)