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Visual Quality Inspection

Visual Quality Inspections Powered By Machine Learning

Streamline quality by integrating AI-powered inspections into your production workflows with off-the-shelf cameras and no-code configuration.

Quality Inspection with Camera and AI

Minimize Product Defects with Visual Quality Inspections

Manual quality inspections are often slow, and prone to errors, leading to a higher risk of defects sipping through. With Tulip’s computer vision capabilities, manufacturers are able to lessen the burden of tedious manual inspection, boost productivity, and improve quality by helping operators identify product defects quicker and with greater accuracy.

Computer vision app that checks for defects

Enhance Your Inspection Efforts with Democratized Technology

You don’t need a PhD to set up visual inspection with Tulip. Combine the latest advances in human-centered computer vision with no-code apps to improve quality in your operations. Use inexpensive off-the-shelf cameras to track objects and motions through your processes.

Computer vision app that checks if device orientation is correct
  • Eliminate production bottlenecks

    Steamline quality inspections and ensure no defects reach the customer, without slowing production.

  • Reduce operator errors

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

  • Prevent knowledge loss

    Training new operators to identify quality defects takes time and is costly.

An Easier Way to Streamline Quality Inspections

  • Edge Execution

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

  • Defect Detection

    Use an AI model to recognize defects, anomalies, errors, and issues with objects and alert operators to perform 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 where the defect is located.

Start Embedding Visual Quality Inspection into Your Operator Workflows

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

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