VisionGuard Installation Guide
August 26, 2024 ยท View on GitHub
Windows Installation
Method 1: Using the Installer
-
Download the Installer:
- Obtain the
VisionGuardSetupWindowsIntelx64.exefile from the official download link.
- Obtain the
-
Run the Installer:
- Double-click the downloaded installer file and follow the on-screen instructions to complete the installation process.
-
Launch the Application:
- After installation, you can launch VisionGuard from the Start menu or the desktop shortcut.
Method 2: Manual Installation (Using Zip File)
-
Download and Extract:
- Download the
WindowsIntelx64.zipfile from the official source. - Extract the contents of the zip file to a preferred location on your system.
- Download the
-
Running the Application:
- Navigate to the extracted folder and double-click
VisionGuardApp.exeto start the application.
- Navigate to the extracted folder and double-click
Prerequisites
-
Microsoft Visual C++ Redistributable:
- Install the latest version of the Microsoft Visual C++ Redistributable appropriate for your system architecture from the official Microsoft website.
-
NPU Drivers:
- Ensure that your Neural Processing Unit (NPU) drivers are up to date.
macOS Installation
-
Download the DMG:
- Download the
VisionGuard.dmgfile from the Releases page on GitHub.
- Download the
-
Install the Application:
- Open the downloaded DMG file.
- Drag the VisionGuard app to your Applications folder.
-
Launch the Application:
- Open VisionGuard from your Applications folder.
Note: On first launch, macOS may prevent the app from opening due to security measures. If this happens, right-click (or Control-click) on the app icon and select "Open" from the context menu. You'll then see an option to open the app despite the warning.
Prerequisites
- Operating System: macOS 10.15 (Catalina) or later
- Camera Access: The first time you run VisionGuard, macOS will prompt you to grant camera access. Allow this for the application to function properly.
Important Notes
- Ensure your webcam is connected before launching VisionGuard, as it is required for video capture.
- All processing and inference are performed locally on your machine, ensuring that no data is transmitted externally, thereby protecting your privacy.
- If you encounter any issues or missing dependencies, please report them to the development team through the GitHub repository.