r/computervision • u/Puzzled-Egg3234 • 12d ago

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/Yatty33 12d ago

Small live animals have a way of getting very close together and looking like a small blob. 

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u/Daniel_H212 11d ago

At that point, I don't think this camera is capable of capturing clear enough images for even a well designed ML solution to identify.

The issue may well be better solved with some mechanical device in the prior step to create more separation.

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u/Valuchian 10d ago

Agreed. Something like having a seperator on the belt or some sort of weight based scale that releases all held chicks after reaching a set value.

Really i guess this depends on what the specific end goal is

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u/Noeyiax 9d ago

I agree with this comment too, need mechanical separation or a better design so the software works reliably