Sick at IFAM 2024: Deep Learning demo case; Digitalization demo case; Robot (Guidance) Exhibit

With our Deep Learning demo case we will show AI in a clear and practical way. Visitors will get to know how to train the neural network and how our sensors classify products or detect anomalies.

Fields of application: Assembly and completeness monitoring, classification and sorting of products, detection of unexpected anomalies.

The SICK digitization demo case comes with two applications. On the one hand, we will show how energy monitoring and the automated detection of leaks works. On the other hand, we present how condition monitoring for monitoring motors succeed.

Fields of application:  Detection of vibration, temperature, and shock on machines with rotating component, continuous monitoring of motors, fans & pumps, consumption and leakage monitoring in compressed air.

The SICK digitization demo case comes with two applications. On the one hand, we will show how energy monitoring and the automated detection of leaks works. On the other hand, we present how condition monitoring for monitoring motors succeed.

 

Fields of application:  Detection of vibration, temperature, and shock on machines with rotating component, continuous monitoring of motors, fans & pumps, consumption and leakage monitoring in compressed air.

With the SICK robotic exhibit visitors explore how products get picket out of a bin. We’ll show 2D- as well as 3D-based bin picking. It is also equipped with the latest optical safety technology and Augmented Reality.

Fields of application:  The PLB robot guidance system is designed for precise localization of parts stored in boxes or on pallets. The system is very flexible with a selection of 3D cameras to choose from. 

SICK d.o.o.
Cesta v Gorice 34 b
1000 Ljubljana
+386 59 178 849
[email protected]
www.sick.si

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