Edge learning

Edge Learning is a subset of artificial intelligence (AI) in which processing occurs on the device where the data originates, using a series of pre-trained algorithms.

Edge Learning technology is easy to set up, requires less time and fewer images for training, compared to other AI solutions such as Deep Learning.

Edge Learning is an easy way to integrate automation into your lines ideal for simple applications or people who do not have specific experience with AI or Deep Learning.

This makes Edge Learning technology a viable solution for a wide variety of applications as well as being suitable for both beginner users and experts in computer vision.

Practical case example: food classification.

Edge Learning technology is powerful enough to analyze multiple Regions of Interest (ROI) in its field of view and classify each of those regions into multiple categories.

For example, Edge Learning can check and sort four sections of a frozen food tray on a high-speed line.


With just a simple click and drag of the mouse, it is possible to define each region and fix it to invariable features in the food tray. The Edge Learning tool is then trained to classify each section of the bin using just a few images, often just two for each possible category. With just a few minutes of training, Edge Learning technology is capable of classifying with. If more variables are introduced, for example, either a new class or option within the same class, the Edge Learning tool can be updated with a few images of the new category.

What works for frozen food trays also works for sorting parts and products across a range of sectors, as seen in these examples.