Power Your Edge AI Application with the Industry’s Most Powerful Arm MCUs
The AIoT has been enabled by higher MCU compute capability and thin neural network models that are more suited for edge and end point devices than traditional CPUs and MPUs.
The AIoT has been enabled by higher MCU compute capability and thin neural network models that are more suited for edge and end point devices than traditional CPUs and MPUs.
We’ll create a digital angle meter using the RL78/G15 Fast Prototyping Board. The data from the gyro sensor will be converted into angles and displayed on the LCD.
By using the standalone version of QE for Capacitive Touch, you can develop capacitive touch applications even with IAR's EWRX IDE.
Introducing the RZBoard V2L, a small single-board computer that enables easy Vision-AI trial with the RZ/V2L MPU.
In this blog, we will discuss how electrical fast transients (EFTs) are caused, how transceiver EFT performance is measured, and the EFT measurement results for RS-485 transceivers.
Industrial field communication (IFC) facilitates data exchange and real-time decision making during digital transformation in industrial processes, improving efficiency and productivity.
How to implement standalone interior monitoring ranging from a single IR sensor for strictly minimum mandatory features up to multiple sensors with premium features.
In this blog, we discuss the approach to implementing network software on MCUs of around 100MHz, specifically those in the RX 32-bit MCU family.
Introducing the RL78/G24 general-purpose MCU with CPU operation up to 48MHz and a Flexible Application Accelerator (FAA), providing the highest processing power among the RL78 family of MCUs.