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- W4327521237 abstract "With the continuous development of science and technology, the processing of 3D point cloud data is a popular research direction in recent years. The quality inspection of mechanical parts has become the key to ensuring the quality of parts. According to the defects of traditional parts inspection methods, this paper proposes a part quality inspection method based on line laser scanning, and builds a parts quality inspection system. According to the collected 3D point cloud data, using the Hausdorff distance to simplify the collected 3D point cloud data, and using the principal component analysis method to register the simplified 3D point cloud data to reconstruct the 3D model of the part to be inspected. The square root error RMS is within 0.02mm, which improves the forming efficiency and scanning accuracy of the parts to be inspected. It is verified that the built part quality inspection system is conducive to the judgment and analysis of the quality inspection of the parts to be inspected." @default.
- W4327521237 created "2023-03-17" @default.
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- W4327521237 date "2022-10-21" @default.
- W4327521237 modified "2023-10-16" @default.
- W4327521237 title "Parts quality inspection system and method based on line laser scanning" @default.
- W4327521237 cites W2088503770 @default.
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- W4327521237 doi "https://doi.org/10.1145/3573428.3573437" @default.
- W4327521237 hasPublicationYear "2022" @default.
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