Seamless Connectivity for Smarter Industrial Connectivity, Factory Automation, Networking, and Real-Time Communications Designs
As connected systems become more intelligent and distributed, designers face increasing challenges in integrating wireless devices, managing data flows, and maintaining reliable communications across industrial networks. From battery-powered IoT sensors and smart building devices to factory automation equipment and industrial control systems, connectivity is now a critical design requirement.
Renesas offers a comprehensive portfolio of solutions that help simplify the development of connected products across the edge-to-cloud ecosystem. Combining secure wireless connectivity with deterministic industrial networking, Renesas enables engineers to build scalable, reliable systems that support real-time data exchange, remote monitoring, intelligent automation, and advanced edge applications.
Featured products
RA6W1 Wireless MCU - Secure Wireless Connectivity for Connected Devices
The Renesas RA6W1 combines a high-performance Arm® Cortex®-M33 microcontroller with integrated Bluetooth® Low Energy connectivity, providing a compact and efficient platform for connected IoT devices. With advanced security features, low power operation, and a rich software ecosystem, the RA6W1 helps developers accelerate the creation of secure and reliable wireless products.
Designed for applications requiring seamless connectivity and extended battery life, the RA6W1 simplifies wireless integration while providing the processing performance needed for edge intelligence and sensor-based applications.
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| Feature | Specification |
|---|---|
| Device Type | Wireless MCU |
| CPU | Arm Cortex-M33 up to 160 MHz |
| Wireless Connectivity | Dual-band Wi-Fi 6 (2.4 GHz and 5 GHz) |
| Memory | 704 KB SRAM, 256 KB ROM |
| Security | Secure boot, TRNG, AES, RSA, ECC, SHA acceleration, WPA3 support |
| Wireless Modes | Station, Soft AP, Mesh networking |
| Connectivity Interfaces | SPI, I²C, UART, SDIO |
| Analogue Functions | 12-bit ADC, PWM timers |
| External Memory Support | QSPI, Octal SPI, PSRAM, eMMC/SD |
| Operating Voltage | 1.8V to 3.6V |
| Operating Temperature | -40°C to +85°C |
| Typical Applications | Industrial IoT sensors, smart building systems, gateways, remote monitoring, connected edge devices |
RZ/N2H Industrial Networking MPU - Deterministic Communications for Industrial Automation
The Renesas RZ/N2H is designed for industrial networking applications that require high performance processing and real-time communications. Supporting multiple Industrial Ethernet protocols and Time Sensitive Networking (TSN), it enables the deterministic data exchange required in modern factory automation, robotics, and industrial control systems.
By combining powerful processing capabilities with advanced networking features, the RZ/N2H helps engineers develop connected industrial solutions that deliver greater efficiency, interoperability, and responsiveness across complex automation environments.
Whether connecting machines, controllers, sensors, or edge computing platforms, the RZ/N2H provides the communications backbone needed to support Industry 4.0 architectures and smart manufacturing initiatives.
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| Feature | Specification |
|---|---|
| Device Type | Industrial Networking MPU |
| Main CPU | Quad-core Arm Cortex-A55 up to 1.2 GHz |
| Real-Time CPU | Dual Arm Cortex-R52 up to 1.0 GHz |
| On-Chip RAM | 3.2 MB ECC RAM |
| Industrial Ethernet | EtherCAT®, PROFINET®, EtherNet/IP™, TSN |
| Ethernet Hardware | 3-port Gigabit Ethernet switch and 3 GMACs |
| DRAM Support | LPDDR4-3200 |
| High-Speed Interfaces | PCIe Gen3, Octal SPI, SD/eMMC |
| Motor Control Support | Up to 6-axis control with encoder interfaces |
| Security Features | Secure boot, secure update, TRNG, hardware cryptography, TrustZone |
| Operating Temperature | -40°C to +125°C |
| Typical Applications | PLCs, industrial robots, motion controllers, factory automation, industrial gateways |
Renesas
Wireless Connectivity
Explore Renesas´ vast array of wireless technologies designed to revolutionize the way you connect and communicate with the world.
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Smart Industry Podcasts
Episode 77: Five Eyes, Zero Cloud: Vision AI - From Crop Fields to Factory Floors
Artificial intelligence is moving to the edge - and it's changing how factories operate, farms grow crops, and robots navigate the world.
In this episode, Monica Houston from Tria Technologies walks us through Tria's Vision AI Kit 6490, an industrial-grade edge computing board that processes five camera feeds simultaneously, runs inference locally, and handles demanding tasks like image segmentation - all without needing cloud connectivity or even a cooling fan.
Monica discusses real-world deployments in agriculture (spot-treating crops to reduce pesticide use), factory robotics (autonomous mobile robots and robotic arms), and the practical challenges of moving AI from comfortable data centres to harsh industrial environments. We explore why latency matters, what happens when you can't rely on internet connections, and why power efficiency is the unsung hero of edge AI.
If you've wondered whether edge AI is ready for industrial prime time, this conversation delivers the answer - with hardware in hand.
Episode 76: Game on: How rock, paper, scissors became the future of factory quality control
In this episode, we explore how accessible AI vision technology has become—and the surprising challenges that come with it.
Luke Walsh from Brainboxes built an AI rock, paper, scissors game using open-source software and hardware costing under £1,000. The playful demo masks serious industrial applications: from catching defects in car seat stitching with 22 cameras to monitoring hazardous environments without putting maintenance engineers at risk.
The conversation covers the technical realities of sub-200-millisecond latency, the stubborn resistance of factory maintenance teams, and why Overall Equipment Effectiveness (OEE) has been the missing piece in factory automation. Luke explains how vision systems can now replace invasive sensors, monitor quality without human inconsistency, and prove their worth to sceptical teams—one tote bin at a time.
Tune in to learn why the best way to deploy AI in factories is to start small, prove value fast, and never assume your training data covers every possible hand gesture.
Episode 56: Generative AI in Industrial Devices - Unleashing the Power of Edge Computing
The AI landscape has rapidly evolved over the last few years, from the hype surrounding large-scale machine learning models to practical applications in industries like automotive, manufacturing, and beyond. But now, the question is: How can the sector harness the power of Generative AI to run efficiently on local devices rather than rely solely on the cloud?
Our guest is Martin Grossen, Lead Solutions and Software at Avnet Silica, who will share his insights on this shift. We’ll explore how localised AI models can be used in industrial applications and what challenges the industry faces. We’ll also discuss the ethics, risks, and costs of deploying AI in industrial environments.