Solutions for industrial and automotive applications
At Embedded World in Nuremberg, Germany (February 25th to 27th 2020), ROHM Semiconductor will showcase its latest products for the industrial sector, such as PMICs, solutions for predictive maintenance, and power semiconductors in hall 3A, stand 121. The company’s focus on automotive applications will be functional safety and ADAS.
Functional safety in automotive applications
ROHM's LSI products for automotive display applications combine the most innovative technology and the highest flexibility on the market. The company’s comprehensive line-up includes display controllers, video enhancement and interface LSI's.
These components support ultra-high-resolution display panels, high-speed video connectivity and comply with the most challenging functional safety standards.
Efficient power management ICs for iot applications
With the latest Power Management ICs (PMIC), ROHM offers highly integrated, efficient ICs that reduce power dissipation in IoT applications, thereby extending operating time, optimising BOM costs and reducing PCB size.
They are latest addition to ROHM's growing portfolio of PMICs designed for NXP's i.MX application processors. The new products contain all power rails required by the processor as well as power supplies for DDR, common system IO and selected peripherals.
Accelerometer with built-in noise filtering function
The series of accelerometers which ROHM recently announced is suited for high accuracy, low power motion sensing applications in industrial equipment, and consumer products such as wearables. They offer a maximum frequency band of 4,200Hz and a detection range for accelerations from ±2g to ±16g. The new models guarantee operation up to 105°C.
The integrated Advanced Data Path (ADP) technology allows noise filtering and sensor signal processing normally carried out by the MCU to be performed by the accelerometer. The higher operating temperature, a wider range of frequency and acceleration detection make these products well suited for machine condition monitoring such as motor vibration analysis in industrial equipment.