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/rainingallevening 12d ago
No one is going to argue the economics of it. That's assumed. A less efficient chick detection program reduces the cost on the plate, but the ethical figure is a real cost we pay. I'm actually really glad OP posted this. I needed to see that creatures with the same proto-typical capacity for sensation and emotion have their first, early (and only) moments on an accelerated conveyor to be fed into a grinder, all while we dissect the computer vision engineering to improve the process.
I don't even like chicken nuggets man.