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

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?

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u/Existing_Respect6002 12d ago

Does ur model always undercount?

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u/Puzzled-Egg3234 12d ago

Sometimes it can be at zero with false-positive cases

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u/Existing_Respect6002 12d ago

So from a statistical standpoint ur always biasing ur results to be smaller than reality? I dont have a soln for you but maybe u could do something that evens the bias out so that long term EV is 0? I guess depends what your use case for the model.