AI-Based Quality Inspection Tutorial

Welcome to the tutorials of the AI-based quality inspection solution!

Getting Started Tutorials

Getting started tutorials guide beginners to deploy the first AI-based quality inspection application step by step.

Tutorial: Train a Classification Model

Through this tutorial, you can learn how to train a Classification model that can distinguish between the front and back sides of the condensers.

Tutorial: Train an Object Detection Model

Through this tutorial, you can learn how to train an Object Detection model to locate and count rotors.

Tutorial: Train a Defect Segmentation Model

Through this tutorial, you can learn how to train a Defect Segmentation model that can determine whether there are defects on the network ports and pinpoint the defects.

Tutorial: Train an Unsupervised Segmentation Model

Through this tutorial, you can learn how to train an Unsupervised Segmentation model that can judge whether there are defects on the charging ports and locate the defects.

Practical Application Deployment

The approach to deploying an AI-based quality inspection application in actual projects is shown in the following figure:

inspection deployment workflow

Please click the links to view the detailed explanation of each deployment phase.

Solution design:

Solution deployment:

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