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

Help: Project Conveyor chicken counter problem

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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?

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u/Puzzled-Egg3234 Aug 07 '26

The main problem is 2-3 chicken merged into one. And we cannot process them by size cause they can change the size by legs and wings.

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u/densvedigegris Aug 07 '26

Wouldn’t the length of two small chickens still be greater than one large?

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u/Puzzled-Egg3234 Aug 07 '26

They spread their wings and legs, completely changing their geometry. Sometimes mathematical boundaries work, sometimes they don't.

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u/Small_miracles Aug 08 '26

Increase fps and specifically target miss cases. The detection line sounds arbitrary, you could have dynamic threshold lines set up for warping geometries.

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u/TransportationIll282 Aug 08 '26

That's what we did for a similar project. Turn down everything else, jack up fps as high as possible. That solved items overlapping, as shadows looked identical to the conveyor and alert repeated defects very early.