A pointer-based, in-situ annotation system captures physical trajectories on inspected objects and converts them into standard ML training annotations, with preliminary tests showing deviations below about 1.6 mm.
IEEE, Piscataway, New Jersey, 2019
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Physical Annotation for Automated Optical Inspection: A Concept for In-Situ, Pointer-Based Training Data Generation
A pointer-based, in-situ annotation system captures physical trajectories on inspected objects and converts them into standard ML training annotations, with preliminary tests showing deviations below about 1.6 mm.