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- W4386858752 abstract "In this paper, an implementation of a computer vision (CV) algorithm with applications in failure analysis, specifically Photon Emission Microscopy (PEM), is presented. Failure analysis (FA) is a systematic optical and electrical analysis of microprocessors to root cause defects within the device [1]. PEM is one of the most used techniques in FA and the process of comparing the emission spots can be tedious and prone to human error. CV can be used for defect detection through two images comparison (from good and reject device) and defect location forecast through single image analysis. These CV techniques were successfully implemented in FA to identify a defect location with notable accuracy." @default.
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- W4386858752 date "2023-07-24" @default.
- W4386858752 modified "2023-09-27" @default.
- W4386858752 title "Computer Vision for Photon Emission Microscopy" @default.
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- W4386858752 doi "https://doi.org/10.1109/ipfa58228.2023.10249181" @default.
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