VIA ARTiGO A3000 Android 12.0 EVK Quick Start Guide 1. Introduction This Quick Start Guide provides an overview of how to boot the Android image for the VIA ARTiGO A3000 starter kit and configure the supported hardware functions in the build.
Then click "Install" when the installer opens. When the installer finishes, it will show a confirmation message "The operation completed successfully". Step 2 Connect the Windows 10 host machine and the VIA ARTiGO A3000 through the Micro USB 2.0 port using the Micro USB cable.
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10 host machine. D:\platform-tools>adb shell reboot bootloader Note: After powering on the VIA ARTiGO A3000, make sure the Windows 10 host machine detects it as an ADB device. Step 4 Extract the VIA_ARTiGO_A3000_Android_12.0_EVK.zip file on your Windows 10 host machine.
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VIA: rebooting target system D:\VIA_ARTiGO A3000_Android_12.0_EVK> Step 5 Unplug the AC-to-DC power adapter to power off the VIA ARTiGO A3000. Step 6 Unplug the Micro USB cable, press the Power Button for 2 seconds and release it to power on the VIA ARTiGO A3000.
3.1 Using the Debug Console Follow the steps below to enable ADB debugging: Step 1 Connect the Windows 10 host machine and the VIA ARTiGO A3000 through the Micro USB 2.0 port using the Micro USB cable. Micro USB 2.0 OTG Micro USB 2.0 port diagram...
VIA ARTiGO A3000 Android 12.0 EVK Quick Start Guide 3.4 DVFS To verify the DVFS (Dynamic Voltage Frequency Scaling) function and list all the supported features, use the following commands: console:/ # ls -l /sys/devices/system/cpu/cpu0/cpufreq/ total 0 -r--r--r-- 1 root...
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VIA ARTiGO A3000 Android 12.0 EVK Quick Start Guide 2. Next, navigate to "Files" and click on the USB drive's name to find "PoseDetector_Image.apk" as shown below. Double-click the program 3. When the program opens, it will display a dialog box as shown below. Click "Continue" to confirm.
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VIA ARTiGO A3000 Android 12.0 EVK Quick Start Guide 5. Check the Pose Detection inference time on the bottom left corner of the program: − If the inference time is less than 200 ms, MTK NeuroPilot AI APU hardware acceleration is enabled and running correctly.
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