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Wayam AI
ManufacturingMaintenance & ReliabilityRepresentative scenario

Automated Package & Label Defect Inspection on High- Speed Conveyor Lines

A high-volume consumer packaged goods (CPG) facility producing 120,000 packaged food items daily across 6 high-speed conveyor lines.

Run on Arjuna · Plant Operations & Safety

A fast line of identical packages with one facet misaligned

The challenge

    01

    Packaging defects (missing cap seals, crushed boxes, misaligned barcode labels) slipped past human visual inspectors at line speeds of 300 units/minute.

    02

    Defective products reached retail customer shelves, causing expensive retailer chargeback fines and product returns.

    03

    Installing proprietary inline vision inspection hardware required stopping production lines for weeks.

How Arjuna solves it

    01

    High-Speed Overhead CCTV Integration

    Arjuna ingests high-frame-rate video feeds from standard industrial cameras positioned over existing conveyor lines.

    02

    Sub-Millimeter Defect Detection

    Detects missing cap seals, torn labels, crushed cardboard edges, and unreadable barcodes at full line speeds.

    03

    Automated Pneumatic Reject Arm Interlocking

    Triggers sub-second signal outputs to pneumatic reject arms to kick defective items off the line instantly.

    04

    Real-Time Defect Categorization

    Categorizes defect types (seal vs label vs box damage) in real time, alerting maintenance leads to specific machinery misalignments.

    05

    Line Quality Yield Dashboard

    Displays live defect percentages and line yield metrics on operator shop-floor screens.

The outcome

annual retailer chargeback penalties and product return costs
$0annual retailer chargeback penalties and product return costs
  • Defective package escapes to retail customers reduced to zero.

  • Saved $450,000 in annual retailer chargeback penalties and product return costs.

  • Retrofit installation completed over a single weekend without disrupting production schedules.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

Bring us the version of this that you actually have.

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