Products

BigAI Vision

Replace human observation on tasks repeated thousands of times a day, with models running inside the plant.

  • Time to deploy: 6–12 weeks
  • Deployment: Edge · On-premise

Vision starts with an on-site trial

BigAI does not commit to an accuracy figure before testing with your actual product under your actual lighting. The trial takes one to two days and ends with a feasibility assessment and an expected accuracy range.

Features

What the product does

Automated optical inspection

Detect surface defects, missing components and label errors on the line.

Vietnamese document OCR

Invoices, ID cards, waybills and contracts with full diacritics support.

Edge processing

Runs on local devices, under 100 ms latency, no internet dependency.

How it works

Processing flow

Processing flow

1 · On-site trial Test with real products under real lighting
2 · Model training Label and train per defect class
3 · Edge rollout Deploy devices, wire up alerts and reporting

Integrations

Connects to the systems you already run

Existing IP camerasPLC / SCADAMESNVIDIA JetsonBigAI DataHub

FAQ

Frequently asked questions

For common defects, 200–500 images per class is usually enough to reach usable quality, then improved with production samples. Rare defects may require synthetic data.

Start with a free 60-minute data assessment

A BigAI solution engineer will review your current data estate with you, identify the highest-value problem to solve and sketch a realistic roadmap. No commitment.

  • Data maturity assessment
  • 2–3 use cases with clear ROI
  • Budget and timeline estimate

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