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.

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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.

Featured Resources

Video Thumbnail for TEC 1E Tulip Vision Demo

Improving Quality with Camera-Enabled Apps

SEE HOW TULIP VISION CAN

  • Reduce the mental burden for operators
  • Prevent defects from moving downstream
  • Free up operators to focus on the most important aspects of their work
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Configurable Apps

Explore Visual Quality Inspection Apps in the Tulip Library

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LandingAI Unit Test

Try Landing AI's classification, object detection, and segmentation modeling in your Tulip app
Defect Detection with Lookout for Vision App Thumbnail
Defect Detection with Lookout for Vision

Deploy machine learning in visual inspection apps with AWS Lookout
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Vision Data Collection

Collect visual inspection data for training machine learning models
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Elementary Example

See how Elementary and Tulip augment product assembly with vision

Connected Apps Power Your Operations

Create a system of apps to transform your operations — and start with your most pressing challenges. Explore our different solutions and learn how you can layer them together to create powerful results.

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Operator going through digital guidance workflow

Digital Guidance

Provide visual, paperless guidance to help operators perform daily tasks and complex processes more efficiently and with fewer errors.

Production management data capture built-in to operator workflows

Production Management

Gain real-time visualization of what is happening in production – at a station, machine, cell, and/or site level – and relevant insights to improve operations.

Quality inspection and data capture built-in to operator workflows

Quality

Reduce the occurrence of quality escapes and the cost to mitigate quality issues with guidance, in-line inspections, defect tracking, and scrap tracking.

Compliance and traceability built into operator workflows

Traceability & Compliance

Document everything happening in production to react to issues swiftly and demonstrate your commitment to quality, safety, and environmental responsibility.

Solve additional problems with adjacent use cases

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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