Features
- Cortex-A55 (1.8GHz) x 4 cores
- Cortex-M33 (200MHz) x 1 core
- AI Accelerator DRP-AI
- Arm Mali™-C55 ISP (option)
- 1.5MB on-chip SRAM
- LPDDR4/LPDDR4X memory interface
- Gigabit Ethernet 2ch
- USB 2.0 interface 1ch (Host/Function)
- USB 3.2 (Gen2) interface 1ch (Host only)
- PCIe interface (Gen3/2-lane) 1ch
- MIPI CSI-2 camera interface 2ch
- CAN interface (CAN FD) 6ch
- AD converter 24ch
- BGA package (15mm x 15mm 840-pin 0.5mm pitch)
- Explore Renesas-validated DRAM Compatibility List
RZ/V2N Block Diagram
Description
The RZ/V2N is a vision AI microprocessor (MPU) with Renesas' proprietary AI accelerator (DRP-AI3) supporting up to 15TOPS AI performance. Its CPUs are quad Arm® Cortex®-A55 (1.8GHz) and Arm Cortex-M33 (200MHz). The RZ/V2N is equipped with an ISP (Image Signal Processor) and dual-channel MIPI® CSI-2® camera interfaces for supporting dual camera signal processing, which is crucial for realizing vision systems. It is also equipped with high-speed interfaces such as PCIe® and USB 3.2, allowing for the expansion of external devices. The RZ/V2N is an ideal microprocessor for applications requiring both low power consumption and advanced AI inference, such as DMS (Driver Monitoring System), monitoring cameras, mobile robots, and more.
Parameters
| Attributes | Value |
|---|---|
| CPU Architecture | Arm |
| Main CPU | Cortex-A55 x 4 |
| Program Memory (KB) | 0 |
| RAM (KB) | 1536 |
| Carrier Type | Bulk (Tray), Full Carton (Tray) |
| Supply Voltage (V) | 3.135 - 3.465 |
| I/O Ports | 86 |
| NPU | Yes |
| DRAM I/F | LPDDR4-3200, LPDDR4X-3200 (32-bit) |
| 3D GPU | Mali-G31, No |
| Temp. Range (°C) | Tj = -40 to +125 |
| Operating Freq (Max) (MHz) | 1800 |
| Ethernet speed | 10M/100M/1G |
| Ethernet (ch) | 2 |
| EtherCat (ch) (#) | 0 |
| USB FS (host ch/device ch) | ( 2 / 1 ) |
| USB HS (host ch/device ch) | ( 2 / 1 ) |
| USB SS (host ch/device ch) | ( 1 / 0 ) |
| PCI Express (generation and ch) | PCIe (Gen.3.0 2Lane) x 1 ch |
| SCI or UART (ch) | 10 |
| SPI (ch) | 3 |
| I2C (#) | 9 |
| CAN (ch) | 0 |
| CAN-FD (ch) | 6 |
| Wireless | No |
| SDHI (ch) | 3 |
| High Resolution Output Timer | No |
| PWM Output (pin#) | 0 |
| 32-Bit Timer (ch) | 32 |
| 16-Bit Timer (ch) (#) | 0 |
| 8-Bit Timer (ch) | 0 |
| Standby operable timer | No |
| Asynchronous General Purpose Timer / Interval Timer (ch) | 0 |
| 16-Bit A/D Converter (ch) | 0 |
| 14-Bit A/D Converter (ch) | 0 |
| 12-Bit A/D Converter (ch) | 24 |
| 10-Bit A/D Converter (ch) | 0 |
| 24-Bit Sigma-Delta A/D Converter (ch) | 0 |
| 16-Bit D/A Converter (ch) | 0 |
| 12-Bit D/A Converter (ch) | 0 |
| 10-Bit D/A Converter (ch) (#) | 0 |
| 8-Bit D/A Converter (ch) | 0 |
| Capacitive Touch Sensing Unit (ch) | 0 |
| Graphics LCD Controller | No |
| MIPI Interfaces (DSI) (ch) | 1 |
| MIPI Interfaces (CSI) (ch) | 2 |
| Image Codec | H.264/H.265 |
| Segment LCD Controller | No |
| Security & Encryption | AES, RSA, ECC, SHA-1, SHA-224, SHA-256, GHASH, TRNG, No |
Package Options
| Pkg. Type | Pkg. Dimensions (mm) | Lead Count (#) | Pitch (mm) |
|---|---|---|---|
| FCBGA | 15 x 15 x 2.3 | 840 | 0.5 |
Application Block Diagrams
 | Collaborative Robot (Cobot) AI-powered cobot system with vision, voice, and real-time control built on ROS 2. |
 | AI Dash Camera AI-powered dash camera with high-performance vision processing, ADAS, and real-time intelligent analytics. |
 | RZ/V2N Based Raspberry Pi Single Board Computer High-performance Vision AI system with 4K camera support, efficient AI processing, and compact SBC design. |
 | AI-Enabled Surveillance Camera AI-powered surveillance camera with DRP-AI boosts security with 4K imaging and low power. |
Additional Applications
- Dashboard camera/driver monitoring system
- AI monitoring camera
- AI people counting camera
- AI visual inspection camera
- Robot vacuum cleaner
- Robot lawn mower
- Smart doorbell
- Access control
Complete Your Design
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RZ/V2N-EVK
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The RZ/V2N AI MPU Evaluation Kit V2.0 (RTK0EF0186C03001BJ) is used to evaluate our RZ/V2N quad-core vision AI MPU. The kit includes a CPU board and an expansion board (EXP board). V2.0 adds support for the DDR Suspend to RAM function, and the power supply circuit configuration has been changed... Read More
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IMDTSupport Communities
-
RZ-V2H unable to capture camera data using sample app for second camera (/dev/video1fr)
Hi , 2 cameras are connected to RZ-V2H which are enumerated as " /dev/video0fr " and "https://www.renesas.com/dev/video1fr" as described in document RZ/V2H ISP Support Package Sample Application Note R01AN7210EJ0110.pdf. 1) execute sample-app for /dev/video0fr , i am able to see ...
Jun 12, 2025
Knowledge Base
-
How to Deploy YOLOV5m model on RZ/V2H, RZ/V2N
... $ ./run_tvm -m
Mar 19, 2026$ ./run_tvm -m /root/yolov5m_onnx Figure 1. Successful execution of YOLOv5m model on RZ/V2N EVK Figure 2. Successful execution of YOLOv5m model on RZ/V2H EVK The model is successfully loaded into the DRP-AI ... -
RZ/V2N: Device driver for sensor module
Yes, it does. Like the RZ/V2H, the device driver for the e-CAM22 image sensor module sold by e-con Systems is included with the AI-SDK.
Mar 19, 2025 -
RZ/V2N: Software development environment
Like the RZ/V2H, an AI-SDK for the RZ/V2N is being prepared. Check by clicking on the following URL. https://renesas-rz.github.io/rzv_ai_sdk/latest/
Mar 19, 2025
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Knowledge Base
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