Defect Detection
Defect Detection Application Case Studies
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There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
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Streamlined LED visual inspection with AI SolVision features an Instance Segmentation tool designed to identify various mini LED defects through image processing.
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With AI-based SolVision, production imperfections on club heads can be detected no matter their size, appearance, or location.SolVisionCase StudiesDefect DetectionHospitalityRecreationand EntertainmentMetal ProcessingQuality Inspection
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SolVision locates and recognizes the smallest defects and production anomalies in aluminum PCBAs through image processing.
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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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The location, size and shape of cracks vary each time, and traditional optical inspection cannot accurately identify such unpredictable defects.
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The Anomaly Detection tool uses deep learning technology to teach the AI model sample images of “perfect” wafers.






