Detecting Microcracks on the Side Wall of WLCSP
  1. Cognex's Deep Learning tools apply intelligent algorithms to learn the difference between normal structural layers and defects, enabling more effective detection of tiny cracks.
  2. Highly accurate detection can save good chip packages that may have been incorrectly classified as defective (NG), thereby increasing yield. Deep learning can find tiny cracks on WLCSP packages that may pass traditional inspection methods but fail prematurely in the field.
Computer Vision
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Cognex
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Detecting Microcracks on the Side Wall of WLCSP
Description
  1. Cognex's Deep Learning tools apply intelligent algorithms to learn the difference between normal structural layers and defects, enabling more effective detection of tiny cracks.
  2. Highly accurate detection can save good chip packages that may have been incorrectly classified as defective (NG), thereby increasing yield. Deep learning can find tiny cracks on WLCSP packages that may pass traditional inspection methods but fail prematurely in the field.
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Semiconductor
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Computer Vision
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Hardware / Software
Software / Hardware
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Seller Name
Cognex
Past project(s)
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Specializes in
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