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    Wafer defect intelligent analysis solution
    With the help of Huawei AI inference server, the intelligent upgrade of semiconductor wafers solves the problems of high misjudgment rate of AOI equipment, consuming manpower and affecting production efficiency
    Scheme Consultation
    Achieve intelligent high accuracy analysis of wafer defects
    Based on Cenium AI basic hardware and software and Ex to provide quality control algorithm, semiconductor chip intelligent analysis solutions have been deeply integrated with various CIM/IT systems to form a complete quality control analysis, traceab...
    Picture review efficiency is high
    Picture review efficiency is high
    With a factory of 50,000 wafers per month, more than 1,000 images are generated per second, and all AOI images can be rejudged in real time based on this solution
    High recognition accuracy
    High recognition accuracy
    The accuracy of wafer defect identification and classification is more than 99%
    Greatly reduce staff workload
    Greatly reduce staff workload
    Reduce employee workload by 40%, while significantly improving employee perception and engaging in higher-level work
    Quality control closed loop
    Quality control closed loop
    Record detailed defect classification in time, and quickly make closed-loop correction of process parameters for upstream production equipment to achieve closed-loop quality control
    Architecture diagram
    Product
    Intelligent edge device
    It features superior computing performance, small size, strong environmental adaptability, and easy maintenance, and can be widely deployed in edge scenarios. MORE
    It features superior computing performance, small size, strong environmental adaptability, and easy maintenance, and can be widely deployed in edge scenarios. Hide
    Product Consultation
    AI server
    With super computing performance, it can be widely used in center side AI reasoning, deep learning model development and training scenarios. MORE
    With super computing performance, it can be widely used in center side AI reasoning, deep learning model development and training scenarios. Hide
    Product Consultation
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