During the development of a machine, there comes a time when the individual sensors need to be fine-tuned. Uncertainty often arises about the number of pulses required for optimum application. Effort and frustration are therefore inevitable.
Different material widths, varying material positions or partially loaded pallets pose special challenges for transfer station access guarding. For this, Leuze relies on the concept of dynamic format adaptation. In this way, productivity and safety can be optimally harmonized.
ROHM has developed an on-device learning AI chip (SoC with on-device learning AI accelerator) for edge computer endpoints in the IoT field. It utilizes artificial intelligence to predict failures (predictive failure detection) in electronic devices equipped with motors and sensors in real-time with ultra-low power consumption.
Surface-mount assembly processes can generate large quantities of data that hold the secrets to continuous improvement. Unlocking those secrets is the challenge for the latest generations of manufacturing management software.
Rohde & Schwarz has paired the outstanding performance of its established R&S RTP oscilloscope with an enhanced user interface and a larger display. The result is an even more flexible oscilloscope in a compact format with a modern look and feel that continues to deliver high-performance signal integrity in real time.