Digital & AI for inspection

Use a digital twin and AI-enabled inspection to support visual inspection performance while reducing reliance on production line time.

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Reduce false ejects and improve inspection performance.

Create, test, and optimize inspection recipes using real production image data in a digital twin. AI-enabled inspection helps evaluate challenging visual findings and support false-eject reduction.

Benefits

Up to 90% false-eject reduction

Reduce false-eject rates, improving detection performance substantially in selected, validated use cases.

No-downtime development

Build and refine inspection recipes in a virtual environment that mirrors real machines using production image data, without stopping the line.

Faster iterations and continuous improvement

Use simulation and historical image datasets to test, compare, and optimize inspection logic before deployment.

Higher inspection quality with fewer false ejects

Improve detection of subtle defects with AI-enabled inspection while reducing false eject rates and maintaining throughput.

Incremental integration for existing lines

Introduce model-based recipes step by step to support controlled deployment in existing production environments.

Governance, security, and compliance by design

Support data integrity with versioned recipes, role-based access, audit trails, and controlled hosting environments.

Clear ROI across availability and materials

Shift testing offline to help reduce reliance on production machine time, physical test batches, and re-inspection effort related to false ejects.

Use cases

Real life applications and impact of Digital Twin and AI

Discover how digital twin and AI improve inspection performance across development, production, and multi-site operations while reducing disruption to existing processes.

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Get in touch

Speak to our specialists about our range of flexible, scalable, end-to-end solutions—tailored to you.