understanding

Intuitively, which means for gears and not utilizing a defect, the model would have to make one or more false-positive detections across multiple sequential pictures, in order for the gear to be flagged as having a defect. This could presumably be seen from Figure 7, where an example of a false constructive was not picked as a defect when a threshold of three consecutive photographs and a prediction confidence of 90% were applied. We do not present results beyond four consecutive pictures as a end result of two factors. Some defects (which seem on the “top land” of the tooth) won’t be seen except they’re near the centre of the picture.

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