Artificial intelligence for SICK sensors
Deep Learning from SICK breaks new ground in industrial automation. Deep Learning is user-friendly and allows SICK sensors to be trained for customer-specific tasks with little effort using sample images. The sensors can then evaluate and sort objects in line with customized criteria on-site – in machines or systems – even if the natural appearance of the objects varies.
At a glance
- Interference takes place directly on programmable SICK products
- Training of neural networks for classifying images in the SICK cloud
- Anomaly detection is trained directly on the device using the Intelligent Inspection SensorApp
- Deep Learning is part of the SICK AppSpace eco-system