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        Home Solution Technology solutions Artificial intelligence
        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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