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The spacing of the conveyor 'traps' is equal, the conveyor belt speeds are a constant. If the puffers are equidistant the chances of overlap are substantially higher than if they don't. Most conveyor traps take only one or two parts along. If there are many more parts they tend to fall in a clump and won't be classified so then there also is no problem.

In the end the error rate went down a lot because of a less predictable spacing. But you are right that if the pieces would fall with random spacings that it would not matter what the distance between the puffer stations would be.

The funny thing is that I spent a lot of time measuring out the vertical spacing on the conveyor in the hopper. If I had done that more sloppily it would have worked better :)




I had to think for some time on this one. Finally it occurred to me, that the pieces are some x distance apart on an average.

At any snapshot, the pieces are lying with a Gaussian distribution around x multiples along the belt i.e having sigma at x, 2x, 3x,...nx....

So for the bins to not overlap:

1) their width/span-along-the-belt should be lesser than x

2) And they can be placed at x, 3x/2, 5x/2, 7x/2 (i.e. prime multiples of x/2)

Wow! Learnt something useful today. Thank you. :)

Edit: I realize after posting that, my solution won't work! If somebody can explain how the prime thing works will be great. I can imagine, though, that the bin placements should be such that, at any given time the piece is only in front of a single bin. Meaning, no pair of bins should have a distance of x-multiple. I can guess, perhaps heuristics which work well, can be devised. But it will be great to know the mathematical solution for this.




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