Using PowerAI Vision
These fictional examples give step-by-step instructions of how to use PowerAI Vision to accomplish various tasks.
- Example: Detecting objects in images
In this fictional scenario, you want to create a deep learning model to determine the make and model of a car caught by a traffic camera. - Example: Detecting objects in a video
In this fictional scenario, you want to create a deep learning model to monitor traffic on a busy road. You have a video that displays the traffic during the day. From this video, you want to know how many cars are on the busy road every day, and what are the peak times that have the most cars on the road. - Example: Classifying images
The goal of this example is to train a model to classify images of birds into groups based on their physiological similarities. Once the model is trained with a known dataset, users can upload new data sets to auto classify the birds into their respective categories. We will prepare the data, create a data set, train the model, and test the model. - Example: Detecting segmented objects in images
In this fictional scenario, you want to create a deep learning model to detect segmented objects, such as a bicycle with a rider standing in front of it. To accomplish this, you will import a COCO data set and train a Detectron model. - Example: Detecting actions in a video
In this fictional scenario, you want to create a deep learning model to determine when a cash register is being opened in a video. - Example: Using Visual Inspector with PowerAI Vision
In this fictional scenario, you want to use a PowerAI Vision deep learning model with Visual Inspector to determine whether an assembly has been performed correctly. - Integrating PowerAI Vision Training and Inference with Maximo Asset Monitor
Maximo® Asset Monitor. Maximo Asset Monitor is a cloud service that enables users to remotely monitor devices at the edge. For example, it can help you notice manufacturing irregularities and take action. This integration allows PowerAI Vision to send inference results to the Maximo Asset Monitor cloud platform for further analysis. - Integrating with IBM Visual Inspector
Visual Inspector is a native iOS/iPadOS mobile app that brings the capabilities of PowerAI Vision to the edge and rapidly enables visual inspections on mounted or handheld devices. Visual Inspector uses the models trained on PowerAI Vision and performs inferencing using the integrated camera on an iOS/iPadOS device. The app can run models remotely or can use Core ML models that are exported from PowerAI Vision, which enables local inferencing on-device without requiring network connectivity.