Defect Detection

ML-Powered Visual Quality Inspection

Integrate machine learning-powered defect detection into your operator workflows with off-the-shelf cameras and no-code configuration.

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  • Error-proof inspections

    Ensure only high-quality pass inspections and reject non-conformances in seconds

  • In-process inspections

    Catch defects earlier with confidence to save time and reduce costs on rework

  • Edge execution

    Get the power of cloud-based machine learning features without the latency

  • No-code

    Quickly set up trained models without coding experience

Why integrated ML visual quality inspection?

With constant changes, agility is critical. Implementing an integrated, human-centric solution alleviates:

Quality Inspection demo at Microsoft Partner Booth

  • Production Bottlenecks

    Lengthy quality inspections ensure no defects reach the customer, however, they also slow production.

  • Operator Error

    Physical and mental fatigue can lead to accepting poor items and rejecting good ones, resulting in risk and waste.

  • Knowledge Loss

    Training new operators to discern quality products takes time and is costly.

What does an AI-enabled Visual Quality Inspection look like with Tulip?

  • Defect Detection

    Use an AI model to recognize defects, anomalies, errors, and issues with objects and alert operators to perform a closer inspections.

  • Defect Classification *

    Determine how many defects are present by the type of defect.

  • Defect Counting *

    Determine how many defects are present by the type of defect.

  • Defect Measurement *

    Measure the length of a defect to quantify how significant a defect is on an object.

  • Defect Localization *

    Identify xyz coordinates to specify the where the defect is located.

  • *In development or testing

  • Discrete Manufacturing

    Ensure PCBs, metal fittings, and other components are free from surface defects with Tulip Vision. Cameras can consistently sort high-quality products with high precision, even if the defects are on a very tiny scale.

  • Life Sciences

    Control packaging to comply with strict regulations. Keep operators safe by detecting all of the proper PPE is worn correctly prior to handling hazardous substances.

  • Food and Beverage

    Easily inspect high-mix production for faulty lids, proper labels, and contents to improve quality, safety, and consistency.

Track defect rates for continuous improvement

Apps using Tulip Vision automatically collect data and provide analytics displayed on real-time dashboards. Track defect rates, first pass yields, and other relevant metrics to prioritize improvement efforts.

Production Visibility & Alerts
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  • Customizable Dashboards

    Flexible data structures enable you to define your own metrics to track.

  • Edge Analytics

    Gain rapid insights in real-time to make the best decision for your operations.

  • Use Any Device

    View dashboards at any time from any computer, laptop, or handheld device.

Vision Workstation Bench

Set up Tulip Vision in days, not weeks

A truly no-code solution: setup, train, and execute solutions using ready-made applications in the Tulip Library. Customize applications with intuitive drag-and-drop capabilities and if-then logic triggers.

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Laerdal Medical Device

Laerdal Error-Proofs Medical Kit Assembly with Vision Verifications

Read about how Laerdal Medical error-proofs medical kit assembly lines by using computer vision to ensure parts are complete before reaching customer sites.

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Get started building a visual quality inspection solution in Tulip.

Request a demo to learn more about what Tulip can do to transform your workflows and empower your operators.

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