Chip detection system and detection method

CN119738408APending Publication Date: 2025-04-01NR ELECTRIC CO LTD +5
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Patent Information

Application Number
CN202411717280.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

Traditional chip detection methods cannot fully cover the physical defects, microstructure and functional performance of the chip, resulting in insufficient detection accuracy and efficiency, and cannot meet the high quality and high performance requirements of modern electronic devices for GPU chips.

Method used

A chip detection system integrating multiple detection modules has been developed, including optical detection module, scanning electron microscope module, functional detection module and data analysis and processing module. Through the combination of these modules, all-round detection and analysis of GPU chips can be achieved.

Benefits of technology

This system can achieve a comprehensive evaluation of GPU chips, improve detection accuracy and efficiency, observe nano-level structures and defects, and meet the needs of modern electronic devices for high-performance chips.

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Patent Text Reader

Abstract

The invention discloses a chip detection system and method, and the system comprises an optical detection module which is used for completing the detection of the physical structure and surface defects of a GPU chip; the scanning electron microscope module is used for completing GPU chip microstructure analysis; the functional detection module is used for completing basic function and performance index detection of the GPU chip; the signal input end of the data analysis processing module is respectively connected with the signal output ends of the optical detection module, the scanning electron microscope module and the functional detection module so as to finish statistical analysis and report generation of the detection data; and automatic detection. According to the chip detection system and method, the automation function is integrated, the detection speed is increased, manual intervention is reduced, and human errors are reduced.
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Citation Information

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