scholar.google.com › citations
The ADC system uses a golden template method for defect re-detection, and measures several features of the defect, such as size, shape, location and color. A rule-based system classifies the defects into pre-defined categories that are learnt from training samples.
May 19, 2023 · Automatic defect classification (ADC) systems automatically classify defects that inevitably occur during semiconductor manufacturing processes.
Aug 1, 2023 · Lendinglens has greatly enhanced the classification of defects in semiconductor manufacturing, resulting in several significant advantages:.
With an automated ADC system, defects can be detected and classified immediately, allowing for quick corrective action to be taken. Furthermore, the use of deep ...
Apr 9, 2024 · The primary function of ADC is to automatically classify defect codes. This is crucial for quality control in semiconductor manufacturing. By ...
A system is proposed to classify the defects automatically, which is more efficient than traditional manual work.
Duration: 29:45
Posted: Dec 11, 2023
Posted: Dec 11, 2023
Automatic Defect Classification (ADC) is a well-developed technology for inspection and measurement of defects on patterned wafers in the semiconductors ...
Mar 15, 2024 · The use of CNN and DNN are currently mainstream in the development of deep learning (DL) for ADC classification in the semiconductor industry.
Jan 1, 1996 · This paper describes an automated defect classification (ADC) system that classifies defects on semiconductor chips at various manufacturing ...