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TechNexion TEVS Camera for Renesas RZ/V2H-EVK

Introduction​

TechNexion Embedded Vision Solutions provide embedded system developers access to high-performance, industrial-grade camera solutions to accelerate their time to market for embedded vision projects.

Support Camera Modules​

Camera SeriesProducts
TEVS
TEVS-AR0144
TEVS-AR0145
TEVS-AR0234
TEVS-AR0521
TEVS-AR0522
TEVS-AR0821
TEVS-AR0822
TEVS-AR1335
More Camera Products Details

Check here ! 🔗 TechNexion Embedded Vision Solutions
Find out the solution which can accelerate your time to market for embedded vision projects.

Supported Development Kit​

Support System Version​

Install TN Camera on RZ/V2H-EVK​

Adaptor for RZ/V2H-EVK​

TEVS-RPI22 Adaptor for TEVS camera

Connect TEVS camera and TEVS-RPI22 adaptor to RZ/V2H-EVK - "CN7/CN8/CN10/CN9" directly.












Method 1 - Pre-built Image for TEVS Camera on RZ/V2H-EVK​

We provide a pre-built image to simplify using TEVS camera on RZ/V2H-EVK.

  1. Download the image from the following link.

    RZ/V2H + Yocto-AI-v5.0 + TEVS

  2. Install necessary tool.

    $ sudo apt-get update
    $ sudo apt-get install -y unzip bmap-tools

  3. Extract the pre-built image.

    $ unzip rzv2h-evk-ver1_yocto-ai-v5_tevs_demo_20250220.zip

  4. Flash SD Card with the image.

    Enter the pre-built image directory.

    $ cd ./rzv2h-evk-ver1_yocto-ai-v5_tevs_demo_20250220

    Use bmaptool to flash the image to the SD card.

    # ${device} is your device path name, such as /dev/sdb
    $ umount ${device}?
    $ sudo bmaptool copy --bmap rzv2h-evk-ver1_yocto-ai-v5_tevs_demo_20250220.rootfs.wic.bmap \
    rzv2h-evk-ver1_yocto-ai-v5_tevs_demo_20250220.rootfs.wic.gz ${device}

Method 2 - Build the RZ/V2H AI SDK Source Code with Technexion patch​

Please refernece "How to build RZ/V2H AI SDK Source Code" and follow the steps below:

  1. Download the SDK source code.

    RZ/V2H AI SDK Source Code

  2. Install necessary tool.

    $ sudo apt-get update
    $ sudo apt-get install -y gawk wget git-core diffstat unzip bmap-tools texinfo \
    gcc-multilib build-essential chrpath socat cpio python python3 python3-pip \
    python3-pexpect xz-utils debianutils iputils-ping libsdl1.2-dev xterm p7zip-full \
    libyaml-dev libssl-dev

  3. Extract the SDK source code.

    Unpack the source code archive.

    $ unzip RTK0EF0180F03000SJ_linux-src.zip

    Create a folder for the Yocto recipe package.

    $ mkdir -p ./yocto_ai_v5.00

    Extract the Yocto recipe package to the specified directory.

    $ tar zxvf rzv2h_ai-sdk_yocto_recipe_v5.00.tar.gz -C ./yocto_ai_v5.00

  4. Get TEVS camera driver patch.

    Clone Technexion renessas camera driver repository.

    $ git clone -b ai-sdk-v5.00 https://github.com/TechNexion-Vision/Renesas-Camera-Driver.git

    Copy the driver patch to the Yocto recipe directory.

    $ cp ./Renesas-Camera-Driver/TechNexion_TEVS.patch ./yocto_ai_v5.00

  5. Apply patch files to fix link error.

    Enter the Yocto recipe directory.

    $ cd ./yocto_ai_v5.00

    Download and apply the required patch files.

    $ wget https://github.com/renesas-rz/rzv_ai_sdk/releases/download/v5.00/0001-pre-system-setting-for-RZV2H-AI_SDK-v5.00.patch
    $ wget https://github.com/renesas-rz/rzv_ai_sdk/releases/download/v5.00/0002-CRU-setting-for-RZV2H-AI_SDK-v5.00.patch

    $ patch -p1 < 0001-pre-system-setting-for-RZV2H-AI_SDK-v5.00.patch
    $ patch -p1 < 0002-CRU-setting-for-RZV2H-AI_SDK-v5.00.patch

  6. Apply TEVS camera driver patch.

    $ patch -p1 -i ./TechNexion_TEVS.patch

  7. Initialize a build in poky.

    $ TEMPLATECONF=${PWD}/meta-renesas/meta-rzv2h/docs/template/conf/ source poky/oe-init-build-env

  8. Add layers to bblayers.conf.

    $ bitbake-layers add-layer ../meta-rz-features/meta-rz-graphics
    $ bitbake-layers add-layer ../meta-rz-features/meta-rz-drpai
    $ bitbake-layers add-layer ../meta-rz-features/meta-rz-opencva
    $ bitbake-layers add-layer ../meta-rz-features/meta-rz-codecs
    $ bitbake-layers add-layer ../meta-tn

  9. Apply a patch fot Tesseract Open Source OCR Engine.

    $ patch -p1 < ../0001-tesseract.patch
    $ patch -p1 < ../0002-sd-image-size-16gb.patch

  10. Build the kerenl files.

    $ MACHINE=rzv2h-evk-ver1 bitbake core-image-weston

  11. Flash SD Card with the image.

    Enter the Yocto build images directory.

    $ cd ./tmp/deploy/images/rzv2h-evk-ver1

    Use bmaptool to flash the image to the SD card.

    # ${device} is your device path name, such as /dev/sdb
    $ umount ${device}?
    $ sudo bmaptool copy --bmap core-image-weston-rzv2h-evk-ver1-*.rootfs.wic.bmap \
    core-image-weston-rzv2h-evk-ver1-*.rootfs.wic.gz ${device}

Stream on Camera by GStreamer​

Once EVK has finished booting, you will see some archives in the home directory.

root@rzv2h-evk-ver1:~# ls -l

-rwxr--r--  1 root root 3599 Mar  9  2018 gstreamer-init-tevs-4cam.sh
-rwxr--r--  1 root root 1424 Mar  9  2018 gstreamer-init-tevs.sh
-rwxr--r--  1 root root  845 Mar  9  2018 v4l2-init.sh

There are two main scripts to help you easily set up and stream from TEVS camera.

  • gstreamer-init-tevs.sh

    $ sh gstreamer-init-tevs.sh --help
    Usage: gstreamer-init-tevs.sh [media_node] [resolution]
    [media_node]: 0 or /dev/media0 is a sample
    [resolution]: 640x480 is a sample

    This script requires two arguments to set up the camera:

    • media_node - The media device node.

    • resolution - The supported resolution depend on the camera.

    Example command:

    $ sh gstreamer-init-tevs.sh 0 640x480

  • gstreamer-init-tevs-4cam.sh

    $ sh gstreamer-init-tevs-4cam.sh 640x480 --help
    Usage: gstreamer-init-tevs-4cam.sh [resolution]
                [resolution]: 640x480 is a sample

    This script requires one argument to set up four cameras at once.

    • resolution - The supported resolution depend on the camera.

    Example command:

    $ sh gstreamer-init-tevs-4cam.sh 640x480