What other Zebra Aurora vision users achieved
Zebra Aurora vision has a lot of success stories. These stories might inspire you and show what the Zebra Aurora vision software is capable of.
Airport trays verification
The deep learning add-on for Zebra Aurora Vision
enables you to train an object detection algorithm. For example, the Vienna University created a algorithm in Aurora vision to classify objects left behind in a tray at airport security. They have trained their algorithm with 150 images divided into 3 classes. The tray could be empty, there could be an object left behind in a tray or lastly, a tray could require cleaning if someone spilled liquid in this tray.
The vision algorithm even indicates how strong specific parts of the image determined the classification by a heatmap. Read more about this succes story
Test image - Object (with RelevanceHeatmap)
Engineers have created an application that can inspect roundness and dimensions of the inner diameter of tempered steel rings. With Zebra Aurora Vision they have made it possible to inspect these objects with a tolerance up to +/- 0.1mm. Read more about this succes story
With Zebra Aurora vision studio, it was made possible to check the positioning of PCB boards. Using a 5MP monochrome camera, the application was able to achieve up to 0,05mm measuring accuracy. With Zebra Aurora vision it was possible to use flexible macrofilters and quickly export the DLL files in case you want to intergrate it in your own control software. Read more about this succes story