Real game engines use this pattern (or its 3D cousin, the Octree) for broad-phase collision detection: the quadtree quickly identifies candidate pairs, and a more expensive narrow-phase check tests the actual geometry.
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confusable-vision takes the 1,418 TR39 confusable pairs that map a non-Latin character to a Latin target (a-z, 0-9), renders both characters across every available system font, and computes SSIM for each pairing. The output is a scored JSON artifact: one continuous similarity score per pair, per font.