Overview
Description
The AI hardware IP, DRP-AI, configured with DRP and AI-MAC, combines both a high-speed AI inference and low power consumption and realizes 1TOPS/W class power performance. In addition, the image signal processor (ISP) is highly robust, producing a stable image independent of the environment, allowing for a high AI recognition accuracy. With these features, the RZ/V2M realizes low power consumption, which is a challenge for embedded devices, making heat dissipation measures easier. Since heat sinks and cooling fans are no longer needed, the equipment can be miniaturized and the BOM cost can be reduced. The result is that it is ideal for vision AI applications in a wide range of embedded markets, including surveillance security, retail, office automation (OA), industrial automation, robotics, and healthcare. In addition, the RZ/V2M also features abundant high-speed communication interfaces such as USB 3.1, PCI-Express, Gigabit Ethernet, and many CPU peripheral functions, so it can also be used in a variety of applications.
Features
- CPU and DDR Memory Interfaces
- 2x Cortex-A53 up to 1.0GHz
- 32-bit LPDDR4-3200
- Vision and Artificial Intelligence
- AI Accelerator; DRP-AI at 1.0 TOPS/W class
- Image Signal Processor (ISP) of multi-stream available
- Camera Interface; 2x MIPI CSI
- Face and Human Detection Engine
- Video and Graphics, Display
- H.265/H.264 Multi Codec
Encoding; h.265 up to 2160p30, h.264 up to 1080p120
Decoding; h.265 up to 2160p30, h.264 up to 1080p120 - 2D Graphics Engine; 200MPixels/s
- Display; MIPI-DSI (4-lane), HDMI 1.4a
- H.265/H.264 Multi Codec
- High Speed Interfaces
- 1x Gigabit Ethernet
- 1x USB3.1 Gen1 Host/Peripheral
- 1x PCIe Gen 2 (1-lane)
- 2x SDIO 3.0
- 1x NAND Flash Interface ONFI1.0
- 1x eMMC 4.5.1
- Hardware Security Engine provided
- Package: FCBGA, 15x15mm 0.5mm pitch
Comparison
Applications
Design & Development
Software & Tools
Software & Tools
Software title
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Software type
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Company
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DRP-AI Translator [V1.90] This is an AI model conversion tool (DRP-AI Translator) for DRP-AI equipped products. This product is also used as an internal tool for DRP-AI TVM (required when installing DRP-AI TVM).
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Software Package | Renesas |
RZ/V2M DRP-AI Support Package [V7.50] This product provides the software and documentation for DRP-AI embedded within RZ/V2M.
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Software Package | Renesas |
RZ/V2M ISP Support Package [V.1.4.8] This product provides ISP Support Package for RZ/V2M. Please read the Release Note included in this first when you use the package.
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Software Package | Renesas |
DRP-AI TVM (GitHub) We provide an AI model conversion tool (DRP-AI TVM) for DRP-AI-equipped products. When using this product, please check the contents of the linked README.md first.
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Software Package | Renesas |
RZ/V Verified Linux Package [5.10-CIP] Linux Packages for MPUs of the RZ/V2L. Functions of this products have been verified and regular maintenance is also provided.
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Software Package | Renesas |
SEGGER J-Link and J-Trace PRO The J-Link debug probes offer full support for RZ Family MPUs. With their outstanding performance, robustness, and ease of use are widely recognized as the market-leading debug probes today.
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Emulator | SEGGER |
6 items
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Boards & Kits
RZ/V2M Evaluation Board Kit
This product is an evaluation board with RZ/V2M configured as the key device and is capable of easily implementing software development such as camera sensor input image processing, low power consumption AI inference, video streaming, and etc.
Test this Board Remotely
Models
ECAD Models
Schematic symbols, PCB footprints, and 3D CAD models from SamacSys can be found by clicking on the CAD Model links in the Product Options table. If a symbol or model isn't available, it can be requested directly from SamacSys.

Product Options
Applied Filters:
Videos & Training
DRP-AI Accelerator embedded in RZ/V series MPUs provides high-speed AI processing while keeping high power efficiency at the endpoints.
News & Blog Posts
Blog Post
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Blog Post
Jul 22, 2022
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Blog Post
Jun 20, 2022
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Blog Post
May 12, 2022
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Blog Post
Apr 18, 2022
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Blog Post
Feb 16, 2022
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Blog Post
Nov 15, 2021
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Blog Post
Nov 6, 2020
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