Renesas：Experience Digital Signal Processing with RX MCU on the Cloud

Release time：2023-09-04
author：AMEYA360
source：network
reading：3011

　　At Renesas, our relentless focus is on simplifying the application of Digital Signal Processing (DSP) to RX microcontrollers. DSP applications span diverse sectors, from consumer electronics to industry, and from healthcare to medical, and they continue to expand with the rise of IoT/cloud trend. Observing these trends, Renesas offers solutions, including sample programs, to facilitate DSP with our cost-efficient RX microcontrollers.

Renesas：Experience Digital Signal Processing with RX MCU on the Cloud

　　However, as a matter of fact, evaluating DSP may pose challenges for users. Even in the presence of sample programs, the necessity of setting up dedicated measurement instruments can be quite daunting. This might deter many users, despite their genuine interest in DSP.

　　Therefore, to allow users to easily experience the DSP features of the RX microcontroller, we have added a new DSP solution to Lab on the Cloud. With just an internet-connected PC, you can access the evaluation board online from anywhere in the world and monitor the behavior of the DSP function within the RX microcontroller in real-time.

Renesas：Experience Digital Signal Processing with RX MCU on the Cloud

　　Key Features Include:

　　Input analog signals directly from a signal generator to the RX231 microcontroller evaluation board.

　　Change the frequency and amplitude of the input signal and the characteristics of the IIR filter.

　　Display the behavior of the IIR filter and FFT graphically and metrically

　　Display DSP processing load, etc.

Renesas：Experience Digital Signal Processing with RX MCU on the Cloud

　　Our 'Lab on the Cloud' ensures you can immerse yourself in the DSP functionalities of RX microcontrollers without the initial setup hassles. Consider taking a moment to explore the Renesas Lab on the Cloud for the RX family DSP solution. It's the perfect platform to envision the possibilities of DSP integration with RX microcontrollers. We're eager for you to embark on your journey of building DSP systems with our RX microcontrollers.

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Renesas Introduces Ultra-Low-Power RL78/L23 MCUs for Next-Generation Smart Home Appliances
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Renesas Introduces Ultra-Low-Power RL78/L23 MCUs for Next-Generation Smart Home Appliances

　　Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the new 16-bit RL78/L23 microcontroller (MCU) group, expanding its low-power RL78 family. Running at 32MHz, the RL78/L23 MCUs combine industry-leading low-power performance with essential features such as dual-bank flash memory, segment LCD control, and capacitive touch functionality to support smart home appliances, consumer electronics, IoT and metering systems. These compact, cost-effective devices address the performance and power requirements of modern display-based human-machine interface (HMI) applications.　　Ultra-Low Power Operation with Optimized LCD Performance　　The RL78/L23 is optimized for ultra-low power consumption and ideal for battery-powered applications that spend the majority of time in standby. They offer an active current of just 109μA/MHz and a standby current as low as 0.365μA, along with a fast 1μs wake-up time to help minimize CPU activity. The LCD controller’s new reference mode, VL4, reduces LCD operating current by approximately 30 percent when compared to the existing RL78/L1X group. The MCUs come with SMS (SNOOZE Mode Sequencer), which enables dynamic LCD segment display without CPU intervention. By offloading tasks to the SMS, the devices minimize CPU wake-ups and contribute to system-level power savings. These innovations significantly extend battery life, simplify design and reduce replacement costs, while minimizing environmental impact.　　The RL78/L23 offers a wide operating voltage range of 1.6V to 5.5V, which supports direct operation from 5V power supplies commonly used in home appliances and industrial systems. This capability reduces the need for external voltage regulators. The MCUs also integrate key components such as capacitive touch sensing, a temperature sensor, and internal oscillator, reducing BOM cost and PCB size.　　Feature-Rich Peripherals for HMI Systems　　Designed to meet the dynamic requirements of the HMI market, RL78/L23 integrates a suite of advanced features in a compact, cost-effective package. Its built-in segment LCD controller and capacitive touch realize sleek, responsive user interfaces for products such as induction cooktops and HVAC systems. The IH timer (Timer KB40) enables precise multi-channel heat control, which is essential in smart kitchen appliances such as rice cookers and IH cooktops. The devices include dual-bank flash memory for seamless firmware updates via FOTA (Firmware Over-the-Air), allowing continuous system operation in applications like metering, where downtime must be minimized. The dual-bank architecture allows one memory bank to run the user program, while the other receives updates. This approach keeps the system functional throughout the process for improved reliability.　　“The Renesas RL78 Family of 16-bit microcontrollers has been one of the most successful products since its launch more than 10 years ago, particularly in home appliances,” said Daryl Khoo, Vice President of Embedded Processing at Renesas. “I’m pleased to announce the RL78/L23, a new generation of RL78 microcontrollers with rich features, ideally suited for smart home appliances and cost-sensitive IoT solutions. With these devices, we aim to provide a better user experience with our intuitive development environment so that customers can get to production faster with confidence, based on market-proven Renesas technologies.”　　Key Features of the RL78/L23　　16-bit RL78 microcontroller running at 32MHz　　Built-in segment LCD controller and capacitive touch　　Up to 512KB of dual-bank flash memory for seamless FOTA　　Up to 32KB of SRAM and 8KB of data flash　　SMS for ultra-low power operation　　IH Timer (KB40) supporting up to 3-channel induction heating control　　Wide operating voltage range from 1.6V to 5.5V　　Operating temperature range of -40°C to +105°C　　Multiple serial interfaces including UART, I2C, CSI　　IEC60730-compliant self-test library　　44-100-pin LFQFP, LQFP and HWQFN packages　　Intuitive Development Environment for Faster Time-to-Market　　The RL78/L23 comes with an easy-to-use development environment. Developers can leverage robust support tools such as Smart Configurator and QE for Capacitive Touch to streamline system design. Renesas offers the RL78/L23 Fast Prototyping Board which is compatible with Arduino IDE, and a capacitive touch evaluation system for in-depth testing and validation.　　Winning Combinations　　Renesas offers Induction Heating Rice Cooker Solution which combines the new RL78/L23 devices with numerous compatible devices from its portfolio to offer a wide array of Winning Combinations. Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.　　Availability　　The RL78/L23 MCUs are available today, along with the Fast Prototyping Board (FPB-RL78L23) and the capacitive touch evaluation system (RSSK-RL78L23). 
2025-08-27 15:18 reading：224
Renesas Expands MCU/MPU Portfolio to Meet New Processing Needs of Edge AI
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Renesas Expands MCU/MPU Portfolio to Meet New Processing Needs of Edge AI

　　Artificial intelligence at the IoT edge is redefining how connected devices capture, process, and analyze data to render actionable outcomes in a variety of consumer and industrial applications. Unlike AI cloud servers, where power, data latency, and security management are prime design considerations, AIoT moves intelligence closer to the data source to enable real-time, in-situ decision-making with enhanced privacy and lower energy use.　　Despite its promise, AI at the IoT edge carries significant engineering challenges. Traditional AI models are computationally intensive. They require large amounts of memory and power, which resource-constrained IoT devices, often battery-operated with limited processing capacity, cannot easily support. Instead, designers need highly optimized, lightweight neural network models that run efficiently on microcontrollers, microprocessors, and other low-power hardware without sacrificing performance or accuracy.　　Managing AIoT Processing with TinyML Models　　Because it is inherently decentralized, AIoT reduces dependency on cloud servers while instantly acting upon real-time analytics and boosting security by keeping data local. This makes the process of outfitting factory equipment with predictive maintenance easier by embedding machine learning (ML) models within local sensors to detect anomalies or faults without waiting for cloud analysis. Smart home devices with AI-enhanced voice interfaces can perform instant keyword recognition and natural language understanding without sending sensitive audio data over the network.　　Similar to a trend underway in AI data centers, AIoT at the edge is also evolving to handle the proliferation of inference modeling. If data is the fuel for intelligent, real-time decision making, then AI inference is the engine that processes pre-trained ML models directly on edge devices.　　Data center AI inference modeling has a unique set of computational requirements best served by powerful parallel processors that can train large language models (LLMs) models that may have billions of parameters. On the other end of the spectrum, edge AIoT technologies like TinyML minimize memory requirements and computing overhead, making real-time analytics feasible for battery-powered IoT endpoints. Moreover, TinyML inference modeling enables multi-modal applications, combining voice, vision, and sensor data for advanced use cases like environmental monitoring and autonomous navigation.　　Real-time data processing is another function complicated by the memory limitations, modest energy budgets, and thermal constraints of edge AIoT. Many consumer and industrial applications, such as smart home voice recognition and autonomous sensors, demand ultra-low latency responses. Cloud-based AI struggles to meet these requirements due to network delays, making on-device inference essential. Engineers must also ensure data security and privacy by embedding strong encryption and root-of-trust mechanisms directly at the endpoint.　　Tools like TinyML are critical for overcoming these barriers and enabling compact machine learning models that operate efficiently on IoT hardware while extending battery life.　　Renesas Optimizes New MCUs and MPUs for Edge AIoT　　To better serve edge AIoT applications, Renesas recently expanded its processor portfolio, introducing new high-performance, low-power MCUs and MPUs with integrated neural processing units (NPUs) purpose-built for AI computing.　　The 32-bit Renesas RA8P1 MCU is designed for voice and vision edge AI applications and features dual Arm® cores, the 1GHz Cortex®-M85 and 250MHz Cortex-M33, and an Arm Ethos™-U55 NPU that delivers up to 256GOPS of AI performance. For security, the new MCU supports the Arm TrustZone® secure execution environment, hardware root-of-trust, secure boot, and advanced cryptographic engines, ensuring safe deployment in critical edge applications.　　Renesas also introduced the 64-bit RZ/G3E MPU for high-performance edge AIoT and human machine interfaces, combining a quad-core Arm Cortex-A55 CPU, Cortex-M33, and advanced graphics. The RZ/G3E embeds an Arm Ethos-U55 NPU to offload the main CPU by delivering up to 512GOPS of AI performance for image classification, voice recognition, and anomaly detection.　　Arm NPUs Right-Size Power and Performance for AIoT Applications　　The Arm Ethos-U55 NPU supports popular neural network models like ResNet, DS-CNN, and MobileNet with up to 35x faster inference compared to CPU-only processing. Unlike GPUs that burn tens to hundreds of watts on high-throughput, parallel computing, the Ethos-U55 delivers hardware-accelerated inference at milliwatt-level power, making it ideal for IoT edge devices.　　The Arm NPU supports compressed and quantized neural networks, reducing memory and compute overhead to allow for real-time, localized AI processing. In contrast, GPUs excel at training large models but are impractical for edge deployments due to size, cost, and energy use.　　Integrated RUHMI Framework and e² studio Streamline AI Edge Development　　The new MCU and MPU are both supported by the Renesas e² studio integrated development environment and incorporate Renesas' RUHMI Framework to accelerate edge AIoT design. RUHMI (Robust Unified Heterogeneous Model Integration) is an end-to-end toolset and Renesas' first comprehensive MCU/MPU framework for simplifying AI workloads on resource-constrained devices. RUHMI supports leading ML formats like TensorFlow™ Lite, PyTorch®, and ONNX, enabling developers to import and optimize pre-trained models for high-performance, low-power edge AI deployments.　　The RUHMI framework is enhanced by Renesas' e² studio, which provides intuitive tools, sample applications, and debugging features. When used together, they help developers more easily handle pre-processing of image and audio data, execute inference on the NPU, and post-process results within a unified environment.　　Edge AIoT Relies on Processors with Low Power and High Compute Density　　Grand View Research reports that the global edge AI market recorded sales of more than $20 billion in 2024, on its way to nearly $66.5 billion by 2030, driven by demand for real-time data processing and analysis at the network edge.　　Increasingly, MCUs and MPUs are the preferred choice for edge AIoT vision and voice applications due to low power consumption, localized processing, and cost efficiency. Unlike GPUs, which require cloud connectivity and high power, MCUs and MPUs can process data directly at the endpoint, enabling real-time inference and decision-making without network delays. By keeping sensitive data on-device, these processors also enhance security and privacy, eliminating the need for constant cloud communication.　　This combination of speed, energy efficiency, and data security makes MCUs and MPUs ideal for wearables, smart homes, and industrial edge AI systems.　　Future Efforts Will Prioritize HD Vision, Security, and a Robust IoT Supply Chain　　As we right-size support for our processor ecosystem using highly efficient TinyML models, Renesas is also developing MPUs for Vision Transformer (ViT) networks. This form of deep learning applies Transformer models originally designed for natural language processing to computer vision, but unlike power-hungry GPUs, ViTs process high-resolution images and videos without the need for cooling fans.　　Renesas is also creating zero-touch security solutions such as post-quantum cryptography (PQC), which secures against attacks from both classic and quantum computers to better defend against a widening range of cyber threats.　　As we foster AI-accelerated hardware, software, and tool chain development, Renesas remains committed to supporting legacy (non-AI) products and the open-source software environment that powers much of today's IoT systems. By collaborating with our partner ecosystem to keep abreast of the rapidly changing IoT landscape, we can better help our customers design sustainable, smart, secure, and connected systems safely and reliably.
2025-08-25 14:59 reading：289
New Renesas USB-C Power Solution with Innovative Three-Level Topology Improves Performance and Reduces System Size
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New Renesas USB-C Power Solution with Innovative Three-Level Topology Improves Performance and Reduces System Size

　　Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the RAA489300/RAA489301 high-performance buck controller designed with a three-level buck topology used for battery charging and voltage regulation in USB-C systems such as multiple-port USB-PD chargers, portable power stations, PC docking station, robots, drones, and other applications that need a high efficiency DC/DC controller.　　The three-level buck converter topology enabled by the new IC delivers exceptional efficiency and significantly reduces the required inductance for regulating the output voltage. Its innovative design minimizes power loss and reduces system size, making it ideal for compact, high-performance applications.　　The three-level topology consists of two additional switches and a flying capacitor compared to a conventional two-level buck converter. The flying capacitor reduces voltage stress on the switches, allowing designers to use lower voltage FETs with better figures of merit. The result is reduced conduction and switching losses. This topology also enables the use of a smaller inductor with peak-to-peak ripple of only about 25 percent of that of a two-level converter, enabling reduced inductor core and direct current resistance losses.　　Renesas is a worldwide leader in USB-PD solutions, offering a comprehensive range of products, including turnkey solutions for various applications. Renesas helps customers shorten their time-to-market with an extensive development environment and pre-certified USB-IF reference designs. Renesas USB-PD solutions offer superior quality and safety, along with high efficiency and power density.　　“This three-level buck topology solution is a prime example of Renesas’ worldwide leadership in battery charging,” said Gaurang Shah, Vice President of the Power Division at Renesas. “The innovative technology includes patent-pending breakthroughs that offer our customers clear advantages over competing USB-C power offerings.”　　The 3-Level DC-DC RAA489300/RAA489301 battery charger and voltage regulator offers superior thermal performance, which reduces cooling requirements and results in cost and space savings. This innovative approach addresses the growing demand for compact and efficient power management systems.　　Key Features of the RAA489300/RAA489301 battery charger and voltage regulator　　Wide range of input and output voltages for use in voltage battery packs and with various PD adapters　　Integrated safety features with built-in protection mechanisms against overcharging, overheating, and voltage anomalies　　Scalability for easily adapting to various power levels and application requirements　　Optimized switching architecture divides the voltage across power switches, improving efficiency　　Minimizes power consumption, contributing to greener, more sustainable designs　　Lower thermal stress improves system reliability and extends product lifespan　　Winning Combinations　　Renesas offers the RTK-251-SinkCharger-240W and the 240W Dual-Port Daughter Card Winning Combinations that minimize the effort required for customers to design USB-C battery charging into their products. Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. 　　Device Availability　　The RAA489300/RAA489301 is available today in a 4×4 mm 32-lead TQFN package. Comprehensive design support and tools, including the RTK-251-SinkCharger-240W Kit and the RTKA489300DE0000BU Evaluation Board, are also available.
2025-08-20 11:46 reading：441
Renesas Introduces 64-bit RZ/G3E MPU for High-Performance HMI Systems Requiring AI Acceleration and Edge Computing
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Renesas Introduces 64-bit RZ/G3E MPU for High-Performance HMI Systems Requiring AI Acceleration and Edge Computing

　　Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, announced the launch of its new 64-bit RZ/G3E microprocessor (MPU), a general-purpose device optimized for high-performance Human Machine Interface (HMI) applications. Combining a quad-core Arm® Cortex®-A55 running at up to 1.8GHz with a Neural Processing Unit (NPU), the RZ/G3E brings high-performance edge computing with AI inference for faster, more efficient local processing. With Full HD graphics support and high-speed connectivity, the MPU targets HMI systems for industrial and consumer segments including factory equipment, medical monitors, retail terminals and building automation.　　High-Performance Edge Computing and HMI Capabilities　　At the heart of the RZ/G3E is a quad-core Arm Cortex-A55, a Cortex-M33 core, and the Ethos™-U55 NPU for AI tasks. This architecture efficiently runs AI applications such as image classification, object recognition, voice recognition and anomaly detection while minimizing CPU load. Designed for HMI applications, it delivers smooth Full HD (1920x1080) video at 60fps on two independent displays, with output interfaces including LVDS (dual-link), MIPI-DSI, and parallel RGB. A MIPI-CSI camera interface is also available for video input and sensing applications.　　“The RZ/G3E builds on the proven performance of the RZ/G series with the addition of an NPU to support AI processing,” said Daryl Khoo, Vice President of Embedded Processing at Renesas. “By using the same Ethos-U55 NPU as our recently announced RA8P1 microcontroller, we’re expanding our AI embedded processor portfolio and offering a scalable path forward for AI development. These advancements address the demands of next-generation HMI applications across vision, voice and real-time analytics with powerful AI capabilities.”　　The RZ/G3E is equipped with a range of high-speed communication interfaces essential for edge devices. These include PCI Express 3.0 (2 lanes) for up to 8Gbps, USB 3.2 Gen2 for fast 10Gbps data transfer, and dual-channel Gigabit Ethernet for seamless connectivity with cloud services, storage, and 5G modules.　　Low-Power Standby with Fast Linux Resume　　Starting with the third-generation RZ/G3S, the RZ/G series includes advanced power management features to significantly reduce standby power. The RZ/G3E maintains sub-CPU operation and peripheral functions while achieving low power consumption around 50mW and around 1mW in deep standby mode. It supports DDR self-refresh mode to retain memory data, enabling quick wake-up from deep standby for running Linux applications.　　Comprehensive Linux Software Support　　Renesas continues to offer the Verified Linux Package (VLP) based on the reliable Civil Infrastructure Platform, with over 10 years of maintenance support. For users requiring the latest versions, Renesas provides Linux BSP Plus, including support for the latest LTS Linux kernel and Yocto. Ubuntu by Canonical and Debian open-source OS are also available for server or desktop Linux environments.　　Key Features of RZ/G3E　　CPU: Quad-core Cortex-A55 (up to 1.8GHz), Cortex-M33　　NPU: Ethos-U55 (512 GOPS)　　HMI: Dual Full HD output, MIPI-DSI / Dual-link LVDS / Parallel RGB, 3D graphics, H.264/H.265 codec　　Memory Interface: 32-bit LPDDR4/LPDDR4X with ECC　　Connectivity for 5G Communication: PCIe 3.0 (2 lanes), USB 3.2 Gen2, USB 2.0 x2, Gigabit Ethernet x2, CAN-FD　　Operating Temperature: -40°C to 125°C　　Package Options: 15mm square 529-pin FCBGA, 21mm square 625-pin FCBGA　　Product Longevity: 15-year supply under Product Longevity Program (PLP)　　System-on-Module Solutions from Renesas and Ecosystem Partners　　Renesas has also introduced system-on-module (SoM) solutions featuring the RZ/G3E. A broad range of SoM solutions will be available from Renesas’ ecosystem partners such as a SMARC module from Tria, an OSM (Size-M) from ARIES Embedded, and an OSM (Size-L) from MXT.　　Winning Combinations　　Renesas combined the RZ/G3E with other compatible devices to develop Full HD Dual-Display HMI Platform and Digital Otoscope solutions. These Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.　　Availability　　The RZ/G3E is available today, along with the Evaluation Board Kit. The kit includes a SMARC v2.1.1 module board and a carrier board.If you want to buy related products, you can contact AMEYA360's customer service.
2025-07-30 15:09 reading：587
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