RZ/V2N

Open-source development platform based on the Renesas RZ/V2N Vision AI MPU, combining the Banana Pi BPI-AI2N system on model (SoM) and carrier board in a compact SO-DIMM 260-pin form factor. Supporting 8GB LPDDR4x memory, 32GB eMMC storage, and QSPI flash, the platform includes a complete development kit with hardware, accessories, and SDK to accelerate vision AI and edge computing projects. Support for Yocto and other open-source operating systems, along with OEM/ODM customization options, enables flexible product development and deployment.

System on module (SoM) based on the Renesas RZ/V2N processor, featuring a quad-core Arm® Cortex®-A55 CPU and integrated 4K video encode/decode functionality for AI-enabled vision applications. Support for up to eight cameras through dual 4-lane MIPI CSI-2 interfaces, along with configurable memory, storage, networking, Wi‑Fi® 6, and Bluetooth® 5 options, provides a flexible platform for embedded vision, industrial automation, and intelligent edge computing solutions.

AI vision system on module (SoM) based on the Renesas RZ/V2N processor and DeepX-M1 AI accelerator, delivering up to 25 TOPS of AI performance. Featuring a quad-core Arm® Cortex®-A55 processor, 4K video encode/decode capabilities, and support for up to eight cameras through dual 4-lane MIPI CSI-2 interfaces, the module is designed for advanced vision AI applications. Flexible options for memory, storage, networking, Wi‑Fi® 6, and Bluetooth® 5 support a wide range of edge AI and intelligent imaging systems.

Provides advanced edge intelligence for Industrial Internet of Things (IIoT) and Artificial Intelligence of Things (AIoT) applications, powered by the DRP-AI3 Neural Processing Unit (NPU) for high-efficiency, low-latency inferencing. Enables real-time vision and sensor fusion with a quad-core Arm® Cortex®-A55 and Cortex-M33. Supports industrial connectivity including RS232, RS-485, CAN-FD, dual Gigabit Ethernet, and wireless options. Delivers optimized Linux support for secure, long-term industrial deployment.

OSM Size-M module powered by the Renesas RZ/V2N processor, featuring the DRP-AI3 accelerator with 15 TOPS AI and 10 TOPS/W efficiency. Powered by a quad-core Arm Cortex-A55 (1.8GHz) and Cortex-M33, it supports dual 4-lane MIPI CSI-2, MIPI-DSI, dual GbE, PCIe Gen3, USB 3.0, diverse I/Os (UART, CAN, SPI, ADC, GPIO), onboard 64GB eMMC, and 8GB LPDDR4X. Compliant with SGeT OSM v1.2 (Size-M, 476 pins), measuring 30×45mm, and operating from –20°C to +85°C, it is optimized for industrial AIoT, machine vision, robotics, and intelligent sensing in compact, low-power designs.

Provides OSM Size-M module based on the Renesas RZ/V2N architecture, delivering compact edge AI processing for embedded vision applications. Integrates the DRP-AI3 AI accelerator at up to 15 TOPS with 10 TOPS/W efficiency, enabling real-time inference alongside dual camera inputs and CAN Bus connectivity. Ideal for space-constrained industrial AIoT devices requiring responsive vision, reliable field communication, and low-power continuous operation. Supports scalable deployment across machine vision, robotics, and intelligent sensing applications.

RNX-RZV2N-SMARC is a high-performance SMARC system on module (SoM) built on the Renesas RZ/V2N microprocessor with integrated DRP-AI Next acceleration. Designed for power-efficient edge AI and vision applications, it supports low-latency inference, dual-camera input, 4K display output, and high-speed connectivity, including PCIe, Gigabit Ethernet, and USB 3.1. The module accelerates development of industrial robotics, machine vision, and automated inspection systems.

The MXT SBC for RZ/V2N is a turnkey embedded vision platform designed to accelerate development of AI-enabled camera systems, robotics vision modules, smart surveillance, and edge compute devices. Built around the Renesas RZ/V2N MPU, this SBC offers up to 15 TOPS of AI inference performance, dual-camera support, high-speed interfaces and full design-in readiness. With MXT’s engineering services, firmware ecosystem and industrial reliability, this board gives OEMs a fast path from prototype to production for next-generation edge vision systems.

The RZ/V2N SoM provides a compact and production-ready platform for embedded artificial intelligence (AI), robotics, industrial automation, and smart vision applications. It integrates the Renesas RZ/V2N processor with DRP-AI3 acceleration, high-speed memory, storage, and connectivity on a small form factor module. The solution enables rapid development, supports Linux-based software environments, and simplifies deployment of power-efficient edge AI systems.

SMARC v2.1 system on module (SoM) based on the Renesas RZ/V2N processor, enables high-performance image processing and dynamic control using advanced artificial intelligence with excellent power efficiency. It supports high-speed interfaces such as PCIe, USB3.2, and Gigabit Ethernet. The module is part of µSMARC®, a smaller form factor that reduces size while remaining fully electrically and functionally compatible with the SMARC standard.

Provides a carrier board that converts the system on module (SoM) into a compact, high-performance single board computer (SBC). The fully customizable small form factor design supports cost-effective system development for applications such as robotics, drones, and smart city projects. It supports flexible assembly options tailored to specific requirements and comprehensive onboard connectivity. The energy-efficient design and minimal footprint enable advanced computing in space-constrained environments.

SMARC 2.2 system on module (SoM) based on RZ/V2N Renesas SoC. The RZ/V2N is a high-performance vision AI MPU powered by Renesas’ DRP-AI3 accelerator, delivering up to 15 TOPS of AI performance. It features quad Arm® Cortex®-A55 CPUs with an Arm Cortex- M33, integrated ISP, and dual-channel MIPI® CSI-2® interfaces for efficient dual-camera processing. It is ideal for applications such as driver monitoring systems, surveillance cameras, and mobile robotics.

Provides a cost‑effective embedded module powered by the Renesas RZ/V2N processor for AI‑driven vision applications. It supports two four‑lane MIPI CSI‑2 connections, enabling concurrent attachment of up to four cameras. Customization options include onboard Wi‑Fi® and Bluetooth®, configurable memory and storage capacities, and flexible physical layer settings. The module delivers a compact form factor, enhanced security features, and an integrated hardware and software solution supporting modular system design.

The SOMDEVICES SMARC Kit RZ/V2N provides a complete development package for SMARC module and µSMARC®-based designs, including the SOMDEVICES µSMARC RZ/V2N system on module (SoM) and all required accessories. The kit includes an expansion board, TFT display, power supply, and demo images for Yocto and Ubuntu Linux, offering one of the fastest entry points for embedded project development. It supports a wide range of interfaces such as Ethernet, USB, RS232/485, camera inputs, and general-purpose I/O. SOMDEVICES also introduces µSMARC®, a compact mechanical form factor that goes beyond standard SMARC module dimensions while remaining fully electrically and functionally compatible with the SMARC v2.1 specification.

Validated for the Renesas RZ/V2H and RZ/V2N, the e-CAM212_CURZH camera module helps accelerate embedded vision development and deployment.

Validated for the Renesas RZ/V2H, the e-CAM25_CURZH camera module helps accelerate embedded vision development and deployment.

Validated for the Renesas RZ/V2H and RZ/V2N, the e-CAM37_CURZH camera module helps accelerate embedded vision development and deployment.

Validated for the Renesas RZ/V2H and RZ/V2N, the e-CAM84_CURZH camera module helps accelerate embedded vision development and deployment.