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That has always been one of those pet projects I keep meaning to take another crack at. Once a year or so I spend a weekend toying around with opencv in python and see what I can do.

Unlike the parent post I've always wanted to solve it geometrically, not visually. Think solving a puzzle from the backs of the pieces.

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I actually did this once, with a 100 piece puzzle. It took about an hour. There were several pairs of pieces that looked like they fit, and even felt almost right, but weren't correct. It might be possible with computer vision, as long as you set the right tolerance of how tightly the pieces should fit together.

I suspect that'd be much much harder - there's not that much variation between the shapes.

And some puzzles (excluding borders might actually have their pieces cut identically.

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