Running a workflow manually

You can manually run a workflow from within the Station App. The workflow analyzes an image from the configured image source.

To configure a workflow, see Configuring a workflow.

Use the following procedure to manually run a workflow with the Station App.

To manually analyze an image (Station App)

1. Open the Station App on your edge device by opening a browser and navigating to x.x.x.x:3000. Change x.x.x.x to the IP address of your edge device.

2. On the left of the application, choose Results and then Monitor live results.

3. In the Live results section, choose the workflow that you want to use.

4. Choose Run workflow to run the workflow. If the image source is a folder, the workflow analyzes the oldest image in the folder that hasn't yet been analyzed. If the image source is a camera, the workflow takes an image from the camera and analyzes that image.

5. View the analysis results for the results of the workflow.

   • Prediction is the classification that the model predicts for the image (Normal for a normal image, Anomaly for an anomalous image).

   • Confidence is the model's confidence in the accuracy of the Prediction.

   • Anomaly score quantifies how much anomalies predicted for the image deviate from an images without anomalies. anomaly_score is a float value ranging from 0.0 to (lowest deviation from a normal image) to 1.0 (highest deviation from a normal image).

   • Anomaly threshold is a number in the anomaly score range that determines the boundary between an anomalous image or a normal image. The model predicts the image is anomalous if the anomaly score is higher than the anomaly threshold. The value is calculated during the training of the model and you are not able to can't set a specific value for a model.

   • If the model is a segmentation model or a heatmap model, Anomaly labels lists the types of predicted anomalies and draws masks around the anomalies on the image. Each type of anomaly is shown in a different color. With a heatmap model the anomaly label is alway Anomaly.

     You can show or hide the masks with the Show anomaly masks toggle.

   • The name of the model that analyzed the image.

   • Result date is the date and time that the model analyzed the image.

   • Model is the name of the model that analyzed the image.

   • Workflow trigger is the trigger that made the workflow run (Line operater/API call or line input).

   • processing time is the time, in milliseconds, that it took to run the workflow with the image.

   • Output file is the location where the workflow saves the analyzed image file.

   You can use the following commands to pan and zoom the image.

   • Pan image — Choose the pan button ( ). Click and hold the mouse button and then drag the mouse to pan across the image.

   • Zoom image — Zoom in an out of the image with the zoom in button ( ) and the zoom out button . Double-click the image to zoom 2x into to the image. Use the mouse scroll wheel to zoom in and out of the image. The mouse cursor position is the center position for zooming (in or out).

   • Reset image size — Choose the reset button ( ) or press Ctrl + 0.

   

6. Choose Run workflow to get the next image, if available.