Semiconductors

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    Verifying Plastic Parts for Recycling Using AI

    Explore how META-aivi optimizes waste management with AI, reducing errors and avoiding contamination while enhancing the efficiency of plastic parts recycling.

  • Intelligent Remote Facility Management

    Machine vision is utilized to perform Optical Character Recognition (OCR). This information is sent to the cloud to create an inspection report, allowing plant operators to easily monitor facility inspection through mobile devices.

  • IC Tray Inspection Using AI

    SolVision employs AI to enhance IC tray inspection, ensuring precise detection and elevating quality assurance standards in the semiconductor industry.

  • Inspecting Packaged Semiconductor Chips

    The Anomaly Detection tool uses deep learning technology to teach the AI model sample images of “perfect” wafers.

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    Detecting Chipping Defects in Wafer Dicing

    The location, size and shape of cracks vary each time, and traditional optical inspection cannot accurately identify such unpredictable defects.

  • Quality Control of Wafer Dicing

    Using SolVision’s Instance Segmentation tool, irregular lines and multi-drilling defects are labeled in sample images to train the AI model.

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    AI Inspection Solution for Semiconductor Wafers

    Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.

  • Central Processor Of A Computer

    Inspecting Semiconductor Packaging Processes

    SolVision enables visual inspection through AI image analysis, strengthening the reliability of displacement and angle information to recognize defective products and errors in the die bonding process.

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    Automating Semiconductor Wafer Inspections

    Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.