Develop analytical dashboards for AI projects with IBM Maximo Visual Inspection

This code pattern is part of the Getting started with IBM Maximo Visual Inspection learning path.

Summary

In this code pattern, learn how to deploy a customizable dashboard to visualize video and image analytics.

Description

With this customizable dashboard, you can upload images to be processed by IBM Maximo Visual Inspection (using object recognition and image classification), download the analyzed results, and view analytics through interactive graphs.

When you have completed this code pattern, you understand how to build a dashboard using Vue.js and IBM Maximo Visual Inspection APIs to generate and visualize image analytics.

Flow

1. Upload the images to IBM Maximo Visual Inspection.
2. Label the uploaded images to train the model.
3. Deploy the model.
4. Upload the image through the dashboard.
5. View the processed image and graphs in the dashboard.

Instructions

Find the detailed steps for this pattern in the README file. The steps show you how to:

1. Upload the training images to IBM Maximo Visual Inspection.
2. Train and deploy the model in IBM Maximo Visual Inspection.
3. Clone the repository.
4. Deploy the dashboard.
5. Upload images to be processed through the dashboard.
6. View the processed images and graphs in the dashboard.

Conclusion

This code pattern explained how to deploy a customizable dashboard to visualize video and image analytics. The code pattern is the part of the Getting started with IBM Maximo Visual Inspection learning path. To continue with the learning path, take a look at the next pattern Automate visual recognition model training.