Best Practices for Anonymizing Faces in Videos

Why Video Face Blurring is Challenging

Unlike static images, videos contain multiple frames and moving subjects. Properly blurring faces in videos requires dynamic tracking and consistent application of blurring filters across frames.

Techniques for Video Face Blurring

• Use a tool like FaceBlurify that automatically detects faces frame-by-frame.
• Adjust the blur level to ensure facial features are indecipherable.
• Perform a final review of the output to confirm every face is anonymized.

By following these best practices, you can ensure that no individual in your video content can be identified, protecting identities and complying with privacy regulations.