Worlds hardest jigsaw vs. puzzle machine (all white)
A video on YouTube. In Science & Engineering, a Krater category.
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The creator builds an automated system using a robot, custom software, and machine learning to solve a 4,000-piece all-white puzzle. After overcoming issues with edge detection, vibrating tumblers, and data accumulation, the robot successfully assembles the puzzle.
From the video
Answers: How can a robot solve a 4000-piece all-white puzzle?
- puzzle solving robot
- locality sensitive hashing
- edge detection algorithm
- custom software development
- vibratory bowl tumbler
What it concludes
- All-white puzzles are extremely difficult for both humans and robots because there are no pictures on the pieces to match.
- Locality-sensitive hashing can be used for reverse image search to find similar edges of puzzle pieces without comparing every edge.
- Feeding puzzle pieces into an automated system requires careful handling to avoid cumulative errors and misalignments.
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