Digitalisation and artificial intelligence (AI) are megatrends that can also offer great potential for savings in tyre production. Machine learning algorithms can be implemented in a decentralised manner, for example on the edge, i.e. on the actual module to be monitored. An example is Festo AX. This AI software uses these algorithms to detect anomalies on tyre building machines or in curing presses.

With the Handling Guide Online, design engineers can create the right ready-to-install handling system from Festo in record time, whether for a 2D linear and planar surface gantry, a 3D gantry or a new 3D cantilever system. Not only can they now plan extremely compact or extremely dynamic Cartesian robots using the intuitive configuration and ordering software, but they also benefit from the circuit diagram service from Eplan and commissioning files.

Choosing the right drive technology in automation saves money and, at the same time, also protects the climate. So how do users find the right technology that enables them to reduce carbon dioxide emissions in the long term? The new CO₂ & TCO Guide from Festo supports machine and system manufacturers to make the choice.