The emergence of three-dimensional (3D) scanning technology has empowered manufacturers looking to track, trace, and verify the quality of their parts. Manufacturers are finding that validating the key features and specifications of work in process offers tremendous value because production problems can be addressed before errors are propagated down the line. This is critical, since, if products with defections due to failures in upstream quality control make their way to customers, the in-tense scrutiny that is likely to follow (magnified by today's social media) can result in loss of brand value.
Direct contact scanning methods, such as touch probes, have been used extensively to inspect work in process for critical dimensions. However, this technique is rarely used in production operations to reconstruct the 3D shape. Non-contact 3D scanning adds a new dimension, enabling 3D inspection of work in process at a reasonable price point and, depending on the operation, in sync with the desired production rates (takt time). The data collected by the scanning device is processed into an accurate, digitalized 3D representation of the object, known as a point cloud. Point cloud rendering software enables human-readable visualization, interpretation, and analysis of the 3D work piece. This software may include features for measurement (like calculating the distance between points) or enhancements.
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Keywords: 3D Scanning, 3D Laser Scanning, Structured Light, Photogrammetry, Co-ordinate Measuring Machines, ARC Advisory Group.