Eliza, The Anomaly Detection Specialist

Eliza, The Anomaly Detection Specialist

Eliza is an intelligent digital worker that uses computer vision to spot visual anomalies such as scratches, dents, surface defects, and missing parts – before they reach customers. Built on Inspection AI-style automation, Eliza continuously inspects products on the line, flags non-conforming items in real time, and helps teams maintain consistent quality at scale. As your defect patterns evolve, Eliza learns what “good” and “bad” looks like over time and detects drifts early – so quality teams can correct issues faster, reduce rework, and protect brand trust.

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Key Capabilities

Continuous Inline Visual Inspection

Inspects every product in real time using camera feeds across the production line, ensuring full coverage without impacting line speed.

Pre-defined Defect Detection

Detects known and trained defect types such as scratches, dents, surface defects, missing parts, and assembly deviations based on approved reference images.

Real-time Non-Conformance Flagging

Flags non-conforming items instantly and triggers alerts, reject signals, or downstream workflows for immediate corrective action.

Visual Evidence Capture & Traceability

Captures time-stamped images with defect classification and inspection context to support audits, root-cause analysis, and quality reporting.

Production Line & MES Integration

Integrates with PLCs, MES, or quality systems to trigger rework workflows, update quality metrics, and synchronize inspection outcomes with production data.

Controlled Model Updates & Re-training

Supports supervised updates where quality teams validate new defect samples before models are retrained—ensuring accuracy and governance.

If you don’t find a suitable digital worker, contact us for a custom-built solution.

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