RZ/V2L AI Applications Demo
How to Use Guide

This page explains how to use RZ/V2L AI Applications Demo on the RZ/V2L Evaluation Board Kit.

Supported version: RZ/V2L AI SDK v5.00

Overview

This page explains how to setup the RZ/V2L Evaluation Board Kit (EVK) using the demo binary file.
Unlike the procedure described in Getting Started, this page does not build the AI Software Development Kit (AI SDK) environment, so you can easily try running the AI Applications.

In this guide, you will be able to learn followings.

• Prepare microSD card to set up operating environment
• Run AI Applications on the board

The goal of this guide is to run the application and display the captured data with AI inference results on an HDMI monitor as shown below.



To see a list of applications included in this demo, see List of RZ/V2L AI Applications Demo.

For more information about the RZ/V series, click here.

Preparation

This chapter describes the procedures up to the first startup of the RZ/V2L Evaluation Board Kit.

Step 1: Hardware Preparation

To start using RZ/V2L AI Applications Demo, we need to get the board.
Renesas provides ideal board kit for RZ/V evaluation.

Since MIPI camera module is included, you can start evaluating RZ/V2L immediately by building an environment.
Click the button below to get the RZ/V2L board.

Board and Software Get the board and software for RZ/V series.

Please prepare the following equipments for your EVK.

Equipment	Details
RZ/V2L EVK	Evaluation Board Kit for RZ/V2L. Includes followings. MIPI Camera Module(Google Coral Camera) Note that the CMOS sensor (OV5645) in the camera is no longer available, and should not be used for mass production. Any software support provided is for evaluation purposes only. MicroUSB to Serial Cable for serial communication.
AC Adapter	USB Power Delivery adapter for the board power supply.
MicroHDMI Cable	Used to connect the HDMI Monitor and the board. RZ/V2L EVK has microHDMI port.
USB Camera	Optional. AI Applications support USB camera input. Supported resolution: 640x480 Supported format: 'YUYV' (YUYV 4:2:2)
USB Cable Type-C	Connect AC adapter and the board.
HDMI Monitor	Used to display the graphics of the board. Supported resolution: 1280x720
microSD card	Must have over 8GB capacity of blank space. Operating Environment: Transcend UHS-I microSD 300S 16GB
Linux PC	Used for Setup microSD card. Operating Environment: Ubuntu 20.04
SD card reader	Used for setting up microSD card.
USB Hub	Optional. For using USB Camera. Used to connect USB Camera and USB Mouse to the board.
USB Mouse	Used to operate the mouse on the screen of board.

Note 1 From v5.00, USB Keyboard is no longer required since GUI operation is supported.

Note 2 Some applications support audio output in addition to the visual presentation on HDMI monitor.
If you would like to have the audio output, please prepare the HDMI monitor with speaker.

Step 2: Demo file extraction to microSD card

1. If you have not yet obtained the demo file, click on the link below to download it.
   
   Download Link
   
   
   Note In this section, we use a Linux PC to prepare the microSD card.
   If you want to use a Windows PC, we have experience in writing disk images by following steps.

   1. Extract the *.wic.gz compressed file using software such as 7-Zip.
   2. Write the extracted disk image file to the microSD card using the applications such as:
      • Win32 Disk Imager download | SourceForge.net
      • Raspberry Pi OS - Raspberry Pi


2. Place the downloaded Zip file into a Linux PC and unzip it using the following command in a terminal.
   
   

   unzip RTK0EF0166F05000SJ.zip

   Make sure the following folders and files are generated after unzipping the file.

   Demo File Structure

   Folder Name	Folder Content	Description
   licenses/	linux_licenses.zip	Linux license information.
   	r11an0939ej0500-rzv2l-ai-apps-demo(Linux License List).pdf	List of Linux license information included in Demo microSD card image. Copyright information is not included. Please refer to Open Source Software packages included in AI SDK v5.00 Source Code to see copyright information.
   sd_image/	rzv2l_ai_applications_demo_v5.00.wic.gz	Gzip file containing the Demo microSD card image.
   	rzv2l_ai_applications_demo_v5.00.wic.bmap	Bmap file for copying the Demo microSD card image.
   r11an0762ej0500-rzv2l.pdf		ReadMe document describing the contents of the Demo zip file.



3. To write the microSD card image, install bmap-tools on the Linux PC with the following command.
   
   

   sudo apt install bmap-tools



4. Run the following command to check the device connected to the Linux PC before inserting the microSD card.
   
   

   lsblk

   Then, insert the microSD card into the Linux PC and run the same command (lsblk) again.
   Confirm that the microSD device name (/dev/sdb) has been added to the terminal after inserting the card, as shown in the console window below.
   
   
   
   Note The microSD card device name may vary depending on the PC environment.
   In this manual, we use /dev/sdb as the microSD card device name.


5. To use bmap-tools, microSD card partitions must be unmounted. Follow the steps below to unmount.
   1. Run the following command to check the automatically mounted microSD card partitions.
      
      

      df -h

   
   
   2. Check the output and find the mount point from the device name found above (/dev/sdb).
      Here "/media/user/9016-4EF8" is the mount point.
      
      

      Filesystem      Size  Used Avail Use% Mounted on
      :
      snip
      :
      /dev/sdb1        15G   32K   15G   1% /media/user/9016-4EF8

      Warning Here, we use /dev/sdb as microSD card device name.
      
   3. Unmount the SD card partition if it is mounted.
      
      

      sudo umount /media/user/9016-4EF8

      Note If there are more than one partitions on microSD card, unmount all partitions.


6. Using the device name (/dev/sdb), write the disk image file into the microSD card.
   
   

   cd sd_image
   sudo bmaptool copy --bmap rzv2l_ai_applications_demo_v5.00.wic.bmap rzv2l_ai_applications_demo_v5.00.wic.gz /dev/sdb

   Warning Change /dev/sdb to your microSD card device name.
   
   Note Writing the microSD card image takes several minutes.
   


7. Execute the following command to eject the microSD card.
   
   

   sudo eject /dev/sdb

   Warning Change /dev/sdb to your microSD card device name.
   

This completes the board setup. Let’s move on to the next chapter and run the applications.

Running Applications

This chapter describes how to run the AI Applications in the demo file.

Step 1: Boot process

Once the Preparation chapter is complete, you can boot the board in the following way.

1. Insert the microSD card to the Board.
   Note Use the microSD card slot CN3 as shown in the figure.


2. Change SW1 and SW11 setting as shown in the figure.


3. Connect the USB mouse.
   Note If you would like to use USB camera, connect the USB mouse and USB camera via USB hub.


4. Connect the Google Coral camera to the Board.


5. Connect the HDMI monitor to the Board.


6. Connect the power cable to the Board.


7. Press power button for 1 second to turn on the board.

8. The GUI home screen appears on the HDMI monitor.
   See the figure below for window layout.
   
   GUI Home Screen
   

Step 2: Demo execution

1. The list of AI applications included in the Demo is shown below.
   Select the application you want to run from the list.

   List of RZ/V2L AI Applications Demo

   Category	Application Name	Details	Supported Camera Devices	User Interface
   Agriculture	Defense wild animals for crop	GitHub Link	MIPI / USB	CUI
   	Fruit and Vegetable Plant Disease Check	GitHub Link	MIPI / USB	GUI
   	Ranch Livestock Management	GitHub Link	MIPI / USB	CUI
   Smart Building	Elevator passengers Counting	GitHub Link	MIPI / USB	CUI
   	Conference Room Usage Monitor	GitHub Link	MIPI / USB	CUI
   	Lighting Control	GitHub Link	MIPI / USB	CUI
   	Security Area Intrusion Detection	GitHub Link	MIPI / USB	CUI
   	Wear management at construction sites	GitHub Link	MIPI / USB	CUI
   	Touchless Controller for elevator	GitHub Link	MIPI / USB	CUI
   	Employee ID check for Restricted Area	GitHub Link	MIPI / USB	GUI
   Smart City	Congestion Detection in Railway Station	GitHub Link	MIPI / USB	CUI
   	Prohibited Area Management	GitHub Link	MIPI / USB	CUI
   	Distracted driving detection	GitHub Link	MIPI / USB	CUI
   	Duration monitoring for surveillance camera	GitHub Link	MIPI / USB	CUI
   	Parking Spot Reservation	GitHub Link	MIPI / USB	GUI
   	Illegal Parking Check	GitHub Link	MIPI / USB	GUI
   	Passport check support	GitHub Link	MIPI / USB	GUI
   	Bus passenger counting	GitHub Link	MIPI / USB	CUI
   	Backtravel Detection	GitHub Link	MIPI / USB	CUI
   	Violence Activity Check in Surveillance Camera	GitHub Link	MIPI / USB	CUI
   	Bird Damage Prevention	GitHub Link	MIPI / USB	CUI
   	Blind Spot Monitor	GitHub Link	MIPI / USB	CUI
   	Preceding Vehicle Movement Alert	GitHub Link	MIPI / USB	CUI +Audio Output
   	Emergency Vehicles Detector	GitHub Link	MIPI / USB	CUI
   	Illegal Bicycle Approach Detection	GitHub Link	MIPI / USB	CUI
   	Bicycle Rental Stock Management	GitHub Link	MIPI / USB	CUI
   	Illegal Bicycle Parking Monitor Support	GitHub Link	MIPI / USB	CUI
   	Infrastructure Defect Prevention	GitHub Link	MIPI / USB	CUI
   	Crime Prevention Support for School	GitHub Link	MIPI / USB	CUI
   Healthcare	Physical Condition Monitor	GitHub Link	MIPI / USB	CUI
   Smart Home	Air Conditioner Control	GitHub Link	MIPI / USB	CUI
   	Pet Detection in Kitchen and Child's Room	GitHub Link	MIPI / USB	CUI
   	Touchless Controller for Kitchen Appliance	GitHub Link	MIPI / USB	CUI
   	Smart TV	Not included in Demo v5.00	-	-
   	Food Package Expiry Date Check	GitHub Link	MIPI / USB	CUI
   Industrial	Work Area Personnel Management	GitHub Link	MIPI / USB	CUI
   	Access Control	GitHub Link	MIPI / USB	CUI
   	Helmet and safety vest wearing monitor	GitHub Link	MIPI / USB	CUI
   	Touchless Controller for Industrial machine	GitHub Link	MIPI / USB	CUI
   	Driver Monitoring System	GitHub Link	MIPI / USB	CUI
   	Species check support in Fish Factory	GitHub Link	MIPI / USB	CUI
   	Defect Inspection Support	GitHub Link	MIPI / USB	CUI
   	Aquaculture Industrial Support	GitHub Link	MIPI / USB	CUI
   Retail	Congestion Detection	GitHub Link	MIPI / USB	CUI
   	Smart POS	GitHub Link	MIPI / USB	CUI
   	Marketing Interest Analysis	GitHub Link	MIPI / USB	CUI
   	Staying and flow line monitoring	GitHub Link	MIPI / USB	CUI
   	Exhibition Participants Monitoring	GitHub Link	MIPI / USB	CUI
   	Store Crime Prevention	GitHub Link	MIPI / USB	CUI



2. After following the boot procedure in the previous section, you can start the application using the GUI.
   
   
   1. Scroll the application list on the left of the screen and click the application name.
   
   
   2. The application panel page on the right automatically shows the application that you clicked.
      You can also scroll the panel page manually.
      Note If you are using a USB mouse, please drag to scroll the pages as the mouse wheel is not available.
   
   
   3. Press the "Start" button in the panel to run the application.

   


3. On monitor, the application will automatically start.
   Note 1 Some applications require GUI control.
   See the link in the User Interface column of List of RZ/V2L AI Applications Demo.

   Note 2 The termination button on application window may temporarily disappear.
   Please wait a few seconds until the screen display gets stable.

   Note 3 If the running application encounters any errors (e.g. the camera is not connected), the application will automatically exit and return to the home screen.

   Note 4 Applications with Audio Output provide the sound alert from HDMI monitor speaker in addition to the visual presentation.
   E.g. Preceding Vehicle Movement Alert.

   


4. To terminate the application, follow the instruction below.
   • For CUI application, press the blue Termination Button in the bottom right-hand corner.
   • For GUI application, double click the application window.

Step 3: Shutdown process

To power-off the RZ/V2L EVK, follow the procedures below.

1. On the home screen, click the X button at the top right-hand corner.
   
   
   
   
2. On the screen, check that shutdown procedure runs and ends with following log.
   
   

   [xxxxx.xxxxxx] reboot: Power down

3. Press and hold the power button for 2 seconds.
   
   
   

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