You want to add an artificial blur effect to your video clips. Maybe because they are night shots without much light, or because you want to highlight the action with a cinematic flair. Or maybe you just like the look of artificial blur on moving faces. Whatever the case may be, this is a challenge for anyone who wants to do it right in their video editing software rather than relying on filters and effects within the camera app itself. The process is not as complicated as it looks, but you do have to know which tools and techniques to use in order to achieve your desired result. Thankfully, there are plenty of ways that you can make this happen with ease and speed. Let’s see how you can add blur to a moving face with the help of AI.

Part 1: What is Artificial Blur?

Artificial Blur is a term used to describe the process of blurring or anonymizing faces in digital images using AI technology. This can be done for a variety of reasons, including privacy, security, and aesthetic purposes. There are a number of different ways to achieve artificial blur. One common method is to use a face detection algorithm to identify faces in an image, and then apply a blurring filter to those areas. Another approach is to train a neural network to generate blurred versions of faces from input images.

The results of AI face blur can vary depending on the method used, but often result in a realistic-looking blur that preserves important details like facial features. This makes it difficult to reverse the process and identify the original subject. Artificial intelligence blur can be a helpful tool for protecting the privacy of individuals in images, as well as for improving the aesthetics of an image by creating a softer, dreamlike effect.

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Part 2: Why Add Artificial Blur to a Moving Face?

The main reason you may want to add artificial blur to a moving face in your shots is that you want to create a shallow depth of field effect in the shot so that the subject is in focus and the background is out of focus. This is especially useful if you want to highlight the action of your shot by focusing on the subject while using the background as a cinematic backdrop. Another reason you may want to add artificial blur to a moving face is if you want to create a dreamy, hazy, or ethereal look in your shots. This is especially useful if your shots are night shots without a lot of light or shots that are otherwise not naturally well-lit. By adding artificial blur to the moving face in your shots, you can create a dreamy look in your shots that is consistent across the entire shot. This can be useful if you want to give your shots a consistent feel that is different from what would typically be seen.

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Part 3: Which Tool Should You Use to Add Blur?

There are many tools that you can use to add artificial blur to your shots. One of the most common is a blur effect applied to a video layer in your video editing software or an online video editing website.

Video editing software to add blur:

When it comes to AI face blur, there is simply no better tool than AVCLabs Video Enhancer AI. With the power of AI, it can detect human faces in videos to blur them quickly. Besides, this powerful software uses Artificial Intelligence to automatically improve the quality of your videos, making them look sharper, brighter and more vibrant. It can enlarge the video footage with low-resolution up to 4K or 8K and. What's more, its identified "Multi-Frame Enhance" model even helps the forensic expert in finding evidence.

Let's look at how to achieve AI face blurring without any complicated skills with AVCLabs Video Enhancer AI in several clicks. It is very easy to do, with no filters, no fine-tuning. On the sole condition that you have a high-end machine with powerful graphics cards (NVIDIA GTX 1050 Ti and upper). The minimum CPU requirement is Intel CPU from 2015 onwards (4th generation) or AMD CPU from 2016 onwards. For more details about the system and hardware requirements for AVCLabs Video Enhancer AI, you can refer to the Tech Spec page.

First of all, you will need to download the installer of AVCLabs Video Enhancer AI onto your computer. After installing, launch Video Enhancer AI and you will see the intuitive interface shown below.

Then click the Browse button to import your source videos to the program.

On the right panel of AVCLabs Video Enhancer AI, you can choose the AI Model. Please choose AI Face Blur.

Then you can choose the resolution you prefer. Video resolution affects video size, higher resolutions are not always a better choice, so you can consider your end deliverable when choosing a resolution.

AVCLabs Video Enhancer AI is also able to cut precisely frame by frame. It allows you to precisely select the start and end frames by clicking, or input the start and end frames. By trimming video frame by frame, you can delete the unwanted part to save processing time.

After all settings are done, you can click Start Processing to add blur to moving faces. On the processing interface, you can preview the original and processed video, progress bar, processing time, the use of GPU. NVIDIA RTX 3090 is highly recommended for GPU acceleration when processing the videos, high efficiency, and time-saving.

AVCLabs Video Enhancer AI is your best choice to add blur in moving faces, because it is different from the traditional video converter. It uses machine learning to detect human faces and blur them quickly. Besides, it supports increasing the video resolution without losing the original quality and any details. If you want to enhance your video quality, you can also have a try. You can download the trial version first. The trial version allows you to convert 3 videos for free. To unlock the limitation, you can purchase the full version with 1 month, 1 year, or lifetime subscription. Come on and have a try!

Online video editing websites to add blur:

Folio3.ai

If you're looking for an online face anonymization solution that delivers results quickly and efficiently, Folio3's Face Blur AI is a nice tool for the job. Using cutting-edge artificial intelligence technology, Face Blur AI can quickly and easily anonymize faces in digital images with incredible accuracy. Whether you need to protect the privacy of your users or simply want to obscure faces for aesthetic purposes, Face Blur AI is the ideal solution.

Folio3's face anonymization technology is based on deep learning algorithms that have been trained on millions of images. This ensures that Face Blur AI can effectively anonymize faces in a variety of different settings and situations. In addition, Face Blur AI is constantly learning and improving its face anonymization capabilities.

Viso.ai

Viso is a deep learning-based face anonymization solution that can be used to protect the privacy of individuals in online videos and images. The system uses a convolutional neural network (CNN) to automatically detect and blur faces in digital media. This ensures that faces are not identifiable, while still preserving the overall context of the scene. Viso is available as a standalone tool or as an API for integration into other applications.

The Viso face blur AI has been trained on a dataset of over 1 million images and videos, meaning it is highly accurate at detecting and anonymizing faces. The system is also constantly improving, as it continues to learn from new data. This makes Viso an ideal solution for anyone looking to protect the privacy of individuals in online videos and images.

super AI

Super AI is an online tool that can automatically blur faces in images. It uses advanced artificial intelligence algorithms to detect and blur faces, making it perfect for privacy-sensitive photos.

There are many reasons why you might want to blur faces in images. For example, if you are sharing a photo of a crowd, you may not want people to be able to identify individual faces. Or if you are publishing a photo of a crime scene, you may want to protect the identity of witnesses or victims. Super AI makes it easy to blur faces in photos, so you can share them without worry.

Super AI uses advanced artificial intelligence algorithms to detect faces in images. Once a face is detected, it is automatically blurred. The blur is adjustable, so you can control how much of the face is visible.

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Pros and Cons of Using AI Face Blur

Adding blur to a moving face can be a useful way to protect someone's identity. AI-based face blurring is a relatively new technology that is still being developed, but it shows promise for applications such as security footage or online video chats. There are a few different methods for AI face blurring, but the most common one involves using a Deep Learning algorithm to detect faces in images and then apply a blur filter to them.

One of the benefits of AI face blur is that it can be applied automatically and doesn't require any manual input from the user. This means that it can be used in situations where it would be impractical or impossible to manually blur faces, such as with security footage or live video streams. AI face blur can also be applied to images that have already been captured, which means that it can be used retroactively to protect the identity of someone who didn't want their face to be shown.

There are a few potential downsides to AI face blur, however. First, it is still an emerging technology, which means that it is not yet perfect. There may be some cases where AI face blur fails to correctly detect a face or apply the blur effect properly. Second, AI face blur can potentially reduce the quality of an image, especially if it is applied heavily. This means that it should be used judiciously and only when absolutely necessary.

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Conclusion

Overall, AI face blur is a promising new technology with a lot of potential applications. It is still being developed and improved, but it shows great promise for protecting the identities of people in images and videos.

If you're looking for a way to add blur to a moving face in your video, AVCLabs Video Enhancer AI is a great option. This AI-powered software makes it easy to achieve realistic results, and it's also very user-friendly. You can even preview the results before you apply them to your video.