ROHM has established mass production technology for Short-Wavelength Infrared (SWIR) devices in the industry’s smallest class 1608-size (1.6mm × 0.8mm) for portable/wearable/hearable devices requiring material detection.
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.
Murata Manufacturing is now developing a new material with unprecedented strong points. This new material combines transparency, flexibility, conductivity, and safety. Furthermore, it realizes high workability to be able to easily draw circuit patterns and other elements with diverse methods.
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.