ブログ

Embrace the future of connectivity and enhance your application with Renesas’ PTX105R NFC controller for Internet of Things applications, the most suitable NFC reader on the market.

このブログでは、Chat-GPTとRL78 Arduino互換ボードを使用してAIコーディングを行う方法と、その実例を紹介します。

ルネサスのメモリインタフェースが果たす役割をご紹介します。

スマート農業を実現するためのルネサスソリューションの紹介

With the ubiquity of wireless connectivity options on IoT devices, connection to the cloud has become more flexible than ever. Traditionally, Wi-Fi has been the most popular choice in the IoT world although this has changed in recent years with the huge strides made in cellular networks. However, there is no right answer for which option would be the best or the more efficient between the two.

The type of network connection to use depends on several factors that affect solution development.

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.

RL78/G15 Fast Prototyping Boardを使用して、デジタル角度計を作成します。ジャイロセンサから得られたデータを角度に変換し、LCDに表示します。ジャイロセンサからのデータ受信、LCDへのデータ送信は、I2C通信で行います。

スタンドアローン版QE for Capacitive Touchを使用することで、IAR社のEWRXでも静電容量式タッチセンサの開発が可能となります。

Introduction of RZBoard V2L, a small single-board computer allowing easy Vision-AI trial with RZ/V2L.

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.