RL78/G23

This video demonstrates how to read from and write to an SD card using the RL78/G23-128p Fast Prototyping Board and the SdFat library.

Related Resources

RL78 Arduino Wiki

• Renesas RL78 Arduino Wiki

Video

• RL78 Arduino Quick Start Guide

Software

• Arduino IDE
• RL78/G23-128p FPB Arduino library
• SdFat

Hardware

• RL78/G23-128p FPB
• Digilent Pmod SD
• SanDisk ultra 32GB

This video introduces how to display data from the HS3001 sensor on the serial monitor of the Arduino IDE using RL78/G23-64p Fast Prototyping Board and HS3001.

Chapter's Title

00:00 Opening
01:08 Board Connections
01:23 Setup of Board Manager
02:14 Sample sketch operation
03:23 Ending

Related Resources

Quick Start Guide

• Quick Start Guide

Software

• Arduino IDE
• RL78/G23-64p FPB Arduino Library

Hardware

• RL78/G23-64p FPB
• HS3001

This video introduces how to display strings on OLED using RL78/G23-64p Fast Prototyping Board and U8g2 library.

Chapter's Title

00:00 Opening
01:14 Install U8g2 library
01:39 Write the sketch
02:27 Terminal connection
03:02 Compile and upload
03:31 Final chapter

Related Resources

Quick Start Guide

• Quick Start Guide Arduino IDE Ver2

Software

• Arduino IDE
• RL78/G23-64p FPB Arduino library
• U8G2

Hardware

• RL78/G23-64p FPB
• SSD1309

This video guide shows how to visualize sensor information through a connection with Amazon Web Services (AWS) by LTE communications. The target MCU is an RL78/G23. Please refer to the "RL78/G23-128p Application Note" for more information.

Chapter's Title

00:00 Opening
00:34 Demo Project Overview and Development Environment
02:11 Hardware Configuration and Connection
03:30 AWS Settings for Uploading Sensor Data
06:05 Demo Project Settings

Related Resources

• Part 1 (this video): Demo Project Overview and Preparations
• Part 2: Running the Demo Project
• RL78/G23 Visualization of Sensor Information with Connecting Amazon Web Services in LTE Communication: RL78/G23-128p Fast Prototyping Board + FreeRTOS Application Note (R20AN0747)

This video guide shows how to visualize sensor information through a connection with Amazon Web Services (AWS) by LTE communications. The target MCU is an RL78/G23. Please refer to the "RL78/G23-128p Application Note" for more information.

Chapter's Title

00:00 Opening
00:33 Terminal Software Settings
01:19 Program the Board with the Initial Image and Run It
03:02 Visualizing Temperature Data with CloudWatch
03:36 OTA Updating the Firmware
6:12 Visualizing Temperature and Humidity Data with CloudWatch

Related Resources

• Part 1: Demo project overview and preparations
• Part 2 (this video): Running the demo project
• RL78/G23 Visualization of Sensor Information with Connecting Amazon Web Services in LTE Communication: RL78/G23-128p Fast Prototyping Board + FreeRTOS Application Note (R20AN0747)

本视频介绍了实现楼宇自动化的智能照明解决方案。通过这个视频，您将了解到照明市场的趋势、照明设计上的需求、以及瑞萨照明解决方案所提供的价值。

访问DALI Solutions页面以获取更多信息。

这个视频介绍了如何使用ChatGPT和RL78 Arduino兼容板进行AI编程，包括点亮7段LED、旋转电机和使用温湿度传感器进行感应等实际例子。即使是初学者也能轻松体验AI编程！

详细的步骤介绍:

使用Chat-GPT为RL78微控制器（Arduino）编写AI代码 | Renesas

相关产品: RL78/G23-64p FPB

相关资源: Quick Start Guide page (GitHub)

Disclaimer:

１. Informational Purposes Only: This video serves as a general guide to using ChatGPT/GPT-4 to write code for an Arduino RL78 evaluation board. Renesas does not guarantee the accuracy or completeness of the content provided.

２. Third-Party Rights Infringement: Note that code generated using ChatGPT/GPT-4 might potentially infringe third-party intellectual property rights. Renesas makes no representations or warranties that the use of ChatGPT/GPT-4 will not violate any third-party rights. Users are urged to exercise due diligence to ensure compliance with applicable laws and third-party rights.

３. No Liability: In no event shall Renesas be liable for any damages, data loss, or other adverse consequences that may occur as a result of using the information, code, techniques, or tools demonstrated in this video. You may want to apply industry standard static and dynamic code assessments as AI code has been recognized to possibly contain malware fragments as well as deriving other unwanted outcomes.

本视频介绍在 RL78/G23-64p 快速原型板上, 如何使用 Arduino IDE 2 运行草图。

相关资源：快速入门指南页面 (GitHub)

00:00 开始
00:43 安装 Arduino IDE
01:13 安装工具
01:36 编写草图
01:56 设置 COM 端口
02:26 设置电路板
02:41 编译、上传、LED 闪烁

This video introduces RL78 LoRa®-based Solution.
It realizes a true low-power wireless IoT system by combination of the world's top-class low power RL78 microcontroller and LoRaWAN® 

• RL78 LoRaWAN® Sensor Demo Tutorial | Renesas
• LoRa®-based Solutions | Renesas

This video will show you how to set up the RL78 LoRaWAN® Sensor Demo.
Using the RL78 / G23 and LoRaWAN® ecosystem, you can realize both the "LoRaWAN sensor network evaluation" and "IoT system construction using LoRaWAN" with minimal man-hours.

• RL78 LoRa®-based Solution | Renesas
• LoRa®-based Solutions | Renesas

了解更多RL78/G23-64p快速原型开发板的特性，硬件细节和开发环境的软件。

Describes the Snooze mode sequencer (SMS) installed in the RL78/G23.

For more information, please visit www.renesas.com/rl78g23.

Describes the Logic & Event Link Controller (ELCL) installed in the RL78/G23.

For more information, please visit www.renesas.com/rl78g23 or refer to the New functions of the RL78/G23 Logic and Event Link Controller (ELCL) (PDF | English, 日本語) white paper (r01wp0007).

See the expanded peripheral functions and ultra low-power performance of the brand-new RL78/G23