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.
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Type | Title | Date |
Application Note | PDF 630 KB | |
Manual - Hardware | PDF 15.84 MB | |
Manual - Development Tools | PDF 746 KB | |
3 items
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Software title
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Software type
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Company
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RZ/V2M DRP-AI Support Package [V7.40] 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.1.4.1] 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 |
RZ/V2M Linux Package [5.10-CIP] This product provides Linux Package for RZ/V2M 64bit processors. Please read the Release Note included in this first when you use the package.
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Software Package | Renesas |
Quick-Connect IoT Platform Quick-Connect IoT platform enables fast prototyping by providing compatible hardware and software building blocks.
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Other Hardware | Renesas |
4 items
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Product Name | Description | Buy / Sample |
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V2M_EVK | RZ/V2M Evaluation Board Kit | |
FSM_ADP01 | FSM Adapter Board for RZ/V2M Evaluation Board Kit | |
FSM_ADP02 | FSM IMX568 Adapter Board for RZ/V2M Evaluation Board Kit |
FSM_ADP01 and FSM_ADP02 are provided as optional boards from CSM Solution Co., Ltd.
FSM_ADP01 and FSM-IMX462C or FSM-AR1335C provided by FRAMOS GmbH are required to evaluate the ISP support package for IMX462 and the ISP support package for AR1335.
FSM_ADP02 and FSM-IMX568C provided by FRAMOS GmbH are required to evaluate the ISP support package for IMX568.
Renesas' Lab on the Cloud is an online environment where Renesas solutions, including popular evaluation boards, winning combinations and software, are hosted in a remote lab that customers access and test online.
AI-only Accelerator (DRP-AI), 4K-compatible Image Signal Processor (ISP), Vision-AI ASSP for real-time human and object recognition.