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Outlier Detection

Every Inch of Every Item Tells a Story

Detect Defects and Identify Suspicious Details

The current generation of automated optical/x-ray inspection (AOI/AXI) solutions can recognize and remove parts with expected defects. But what about unknown defects? Those may cause your next recall. numericcal’s POINTER uses sophisticated pattern recognition to identify both known defects and suspicious details on every unit observed. It labels and prioritizes suspicious outliers for further human review. This human input allows POINTER to keep improving and increasing its accuracy. POINTER is the fastest way to error-proof a production line and maximize its yield.

With POINTER, the Possibilities Are Endless

Whether you are looking to improve yield with fine-grained AOI/AXI or to reduce the labor-intensive sampling and inspection, numericcal's POINTER system can help. In the examples below, POINTER identifies faulty printed circuit boards (PCBs) and fabrics after being trained only on what the proper examples should look like.

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POINTER enhances your QA/QC team by having them inspect only suspicious items

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POINTER increases yield by reducing losses associated with batch sampling and improving QA/QC reliability

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POINTER provides comprehensive view of potential issues to enable root cause analysis and identify latent defects

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Optimize Yield and Keep an Eye on High-Priority Issues

POINTER actively learns from your QA/QC team's feedback to adjust to your production line. This inherently dynamic nature of the POINTER system results in a major reduction in faulty items passing undetected through the QA/QC process, eliminating production losses and recalls. Application of POINTER's root cause analysis functionality allows for the detection of latent defects at early stages in your processes.

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