Learning path: Getting started with IBM Maximo Visual Inspection

Learn about:

• Image classification
• Object detection
• Object tracking in videos
• Creating custom models
• Using your model
• Example use cases

Learn about:

• Creating a data set
• Assigning categories for image classification
• Labeling objects for object detection
• Training a model
• Testing the model
• Using it in an app

Learn about:

• Creating a data set
• Training a model for image classification
• Deploying it to a web API
• Integrating the API into an iOS app

Learn about:

• Creating a data set
• Training a model for object detection
• Deploying it to a web API
• Testing the model with REST calls
• Integrating object detection into a Node.js web app

Learn about:

• Using automatic labeling to create an object detection classifier from a video
• Processing frames of a video using a Jupyter Notebook, OpenCV, and IBM Maximo Visual Inspection
• Detecting objects in video frames with IBM Maximo Visual Inspection
• Tracking objects from frame to frame with OpenCV
• Counting objects in motion as they enter a region of interest
• Annotating a video with bounding boxes, labels, and statistics

Learn about:

• Classifing images using an existing model and a Jupyter Notebook
• Collecting statistics to evaluate a model
• Visualizing model accuracy with a confusion matrix
• Producing a variety of accuracy measure for model validation

Learn about:

• Uploading training images to IBM Maximo Visual Inspection
• Training and deploying a model in IBM Maximo Visual Inspection
• Uploading images to be processed through the dashboard
• Viewing the processed images and graphs in the dashboard

Learn about:

• Automating categorizing and uploading of images to IBM Maximo Visual Inspection
• Automating model training in IBM Maximo Visual Inspection

Learn about:

• Extract information from an IBM Maximo Visual Inspection instance as a CSV file
• How to visualize and filter the data within a web browser

Learn about:

• Build an object detection model
• Trigger a post-processing script when specific objects are detected
• Use Python Opencv libraries to prepare an image for OCR
• Adjust Tesseract OCR to detect specific fonts

Learn about:

• Installing and activating the provided script
• Training and deploying an inference model within Maximo Visual Inspection

Learn about:

• Display live RTSP camera streams or prerecorded videos
• Get different visualizations such as a list, a pie chart, and a data table

Learn about:

• Apply object detection and image classification to live camera feeds

Learn about:

• View the stages of any given process in chronological order