Defect Detection with Lookout for Vision

The Defect Detection with Lookout for Vision app streamlines visual inspection data collection, and adds machine learning models into Tulip with a connector to AWS Lookout. Use the app and a camera to collect and store image samples with “Pass” or “Fail” inspections in a Table. After collecting a set of pass/fail data and images, the stored data set can be used to train AWS Lookout models with the data in AWS S3, enabling machine learning in Tulip apps.

  • Content Type
    App
  • Developer
    Tulip
  • Created
    January 31, 2022
  • Tags
    Discrete Manufacturing
    Vision
    Apps
    Quality
Read Article

Resources

Learn how to get started building composable solutions with Tulip

Defect Tracking Template thumbnail

Defect Tracking Template

Streamline defect management

Cognex Overview and Unit Test thumbnail

Cognex Overview and Unit Test

Explore and test Cognex machine integrations

Mobile Camera App thumbnail

Mobile Camera App

Take photos with any iOS or Android mobile device

Vision Data Collection thumbnail

Vision Data Collection

Collect visual inspection data for training machine learning models

Vision Unit Tests thumbnail

Vision Unit Tests

Explore Tulip’s computer vision detectors

Explore

Discover more content like this

Vision Overview thumbnail

Vision Overview

Learn the capabilities of Tulip's computer vision features

Tulip Computer Vision Demo thumbnail

Tulip Computer Vision Demo

See how Tulip’s computer vision capabilities can be applied at a workstation

Spindle Line Assembly thumbnail

Spindle Line Assembly

See how DMG MORI guides operators through a complex assembly process with Tulip

Machine Learning with Computer Vision thumbnail

Machine Learning with Computer Vision

Learn how to use Machine Learning datasets with Vision

Location Tracking with Vision thumbnail

Location Tracking with Vision

Use Tulip Vision to create a top-down view of your factory and track units as they move