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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)

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) -
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

AI Dash Camera Block Diagram
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 Block Diagram
RZ/V2N Based Raspberry Pi Single Board Computer
High-performance Vision AI system with 4K camera support, efficient AI processing, and compact SBC design.
The high-performance surveillance camera interactive block diagram features an MPU design with DRP-AI, delivering powerful AI processing and energy efficiency.
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

Applied Filters:

This video demonstrates how to run the RZ/V2N AI applications demo on the RZV2N evaluation board kit.

Chapter Titles

00:00 Opening
00:08 Overview
00:56 Download RZ/V2N AI demo image file
01:43 Writing the AI application demo image file on microSD card
03:00 Setup for RZ/V2N EVK
03:36 Launch AI demo  
04:46 End of AI demo and RZ/V2N EVK power off procedure
05:37 Ending

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