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AMAI Vision

Computer vision for quality and completeness checks

The system reads camera footage on the line and flags defects, missing items, labeling and deviations before the batch moves on.

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▣System description

AMAI Vision helps where manual inspection is inconsistent or too slow. Cameras and CV models check product in motion, flag deviations, and generate data for the operator and the shift lead.

The system is built for the specific line: the product, line speed, lighting, acceptable defects and how the operator should respond.

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Completeness checksChecks that items are present, correctly placed and matrices are fully filled
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Quality checksFlags defects, damage, missing items, wrong labeling and geometric deviations
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Operator alertsA signal is raised before the product ships or moves to the next stage

⚙Rollout steps

1

Site audit

We identify inspection points, image quality and production constraints

2

Dataset collection

We collect and label real examples of normal output and deviations

3

Model training

We tune the model for the product, the line and the acceptable quality criteria

4

Process integration

We connect the cameras, the operator interface and alerts

▥What the system does

Computer vision handles repeatable inspection work and gives clear quality statistics.

What we check

  • Product completeness
  • Labeling and tags
  • Object position
  • Defects and missing items

Integrations

  • Cameras at the inspection point
  • Operator screen
  • Line signals and PLC
  • Quality dashboards

Result for the plant

  • Lower risk of shipping defective batches
  • Consistent inspection rules
  • Faster operator response
  • Data on the causes of defects

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