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.

Level Topic Type
100 Introduction to computer vision Article
101 Introduction to IBM Maximo Visual Inspection Article
201 Build and deploy an IBM Maximo Visual Inspection model and use it in an iOS app Tutorial
202 Locate and count items with object detection Code pattern
203 Object tracking in video with OpenCV and Deep Learning Code pattern
301 Validate computer vision deep learning models Code pattern
302 Develop analytical dashboards for AI projects with IBM Maximo Visual Inspection Code pattern
303 Automate visual recognition model training Code pattern
304 Load IBM Maximo Visual Inspection inference results in a dashboard Code pattern
305 Build an object detection model to identify license plates from images of cars Code pattern
306 Glean insights with AI on live camera streams and videos Code pattern

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

Develop analytical dashboards for AI

  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.