Learning from your employees and co-workers by training an artificial intelligence. Simply capture pictures from your application and label them accordingly.
How to use our product
State-of-the-art machine learning algorithms are used to classify images, objects or pixels or detect anomalies from your trained, ideal world. Starting with less than 20 training samples for fair and easy problems.
Which object is shown in the image? To which class does it belong? What is the quality level?
Get a corresponding class to the given image, based on your training.
Examples: Sorting, action trigger, quality assessment
Which objects are in the frame? Where are they located? Extract a list of classified bounding boxes from the image and grab or sort the objects.
Examples: Object sorting, quality assessment, object count, object position
Advantages through technology
Fast integration & intuitive usage
Our hierarchical web-based user interface allows fast and easy capturing and labeling of your dataset. Training and optimization is accelerated on the graphics processor of the web-client. Integration in your industrial environment is possible with common safe field-bus protocols.
Fast and easy extension
The machine learning models can be updated and extended continously, without starting from scratch. Simply add additional labeled images, in order to further improve your model accuracy or handle corner cases. Also additional classes can be added to your model.
No need for expensive server farms or different components from multiple suppliers. Our integrated and scalable processing platform, highly optimized for machine learning tasks, runs with a few watts inside beh.cam.
State-of-the-art algorithms, also used in autonomous driving, are trained for your application. This enables high robustness, even in challenging and changing light situations, and occlusions.