Cloudinary Blog

Automatic face-blurring in images made easy

After our recent, somewhat technical posts, we wanted to lighten things up with Cloudinary's latest (cool) semantic image transformation feature. Keeping people privacy in photos by automatically blurring their faces. 
 

Pixelate Effect

We previously detailed in length about Cloudinary's cloud-based API for applying effects on images. We now want to introduce Cloudinary’s latest effect - pixelization.
 
 
Use it by simply setting the 'effect' parameter (or 'e' for URLs) to 'pixelate'.
 
The example below generated a 150x200 thumbnail of a Facebook profile picture and applied the pixelization effect on it.
 
 
 
Isn't that great? With zero effort, you've converted an image to a pixelated one before embedding it in your site.
 
As you can see, the pixelate effect in the example above is quite intense. You can assume greater control on the effect’s intensity by specifying the size of the pixelization squares (numeric value, in pixels). In the following example, we applied the pixelate effect using six pixel blocks on the same Facebook profile picture that was automatically retrieved from Facebook by Cloudinary. As always, the resulting image is cached and delivered through a fast CDN.
 
 
 
Same example in Ruby on Rails, Django, Node.js and PHP:
 
<%= facebook_profile_image_tag("zuck.jpg", :effect => "pixelate:6", 
                               :width => 150, :height => 200, :crop => :fill) %gt;
{% cloudinary "zuck.jpg" type="facebook" effect="pixelate:6" 
              width=150 height=200 crop="fill"  %}
cloudinary.image("zuck.jpg", { type: "facebook",  effect: "pixelate:6", 
                 width: 150, height: 200, crop: "fill"})
<?php echo facebook_profile_image_tag("zuck.jpg", array("effect" => "pixelate:6", 
                             "width" => 150, "height" => 200, "crop" => "fill")) ?>

 

Automatic Face Blurring

In the examples above we've shown how to easily pixelate a whole picture. But if we are talking about privacy, showing the original image as is and just hiding the faces is probably more useful.
 
For example, let's take the following photo, depicting a nice couple:
 
 
 
 
We can now apply the new 'pixelate_faces' effect to hide the faces of the couple in the original image. The following URL generates a 200x200 rounded cornered thumbnail that was smartly cropped based of face detection, while blurring the faces in the process.
 
 
 
 
As you can see, all parts of the images are still clear while the faces in the picture were automatically detected and pixelated by Cloudinary.
 
Same example in Ruby on Rails, Django, Node.js and PHP:
 
<%= cl_image_tag("couple.jpg", :effect => "pixelate_faces", :width => 200, 
                 :height => 200, :crop => :thumb, :gravity => :faces, :radius => 20) %>
{% cloudinary "couple.jpg" effect="pixelate_faces" width=200 height=200 
              crop="thumb" gravity="faces" radius=20  %}
cloudinary.image("couple.jpg", { effect: "pixelate_faces", width: 200, 
                 height: 200, crop: "thumb", gravity: "faces", radius: 20})
<?php echo cl_image_tag("couple.jpg", array("effect" => "pixelate_faces", 
                        "width" => 200, "height" => 200, "crop" => "thumb", 
                        "gravity" => "faces", "radius" => 20)) ?>
 
With the pixelate faces effect, you can pixelate one or more faces automatically. You can even pixelate the faces of a whole soccer team as seen in the example below. Here, Cloudinary automatically fetches the remote image from Wikimedia Commons and applies the pixelate faces effect before delivery through a CDN:
 
 
 
If you are a Spanish or a European football fan, you probably recognized all players in the picture despite the heavy pixelization :) 
 
As with the pixelate effect, the pixelate_faces effect also supports specifying the number of pixels to use for each pixelization block. The following example applies a 4-pixels effect on the same remote image for making it easier for you to recognize the players...
 
 
  

Face Blurring as Incoming Transformation 

For simplicity, all the examples given above were applied on the images on-demand. A user, looking at the image source, may craft a URL that does not include the blur. 
 
To prevent access to the original image, you should apply the pixelate effect as part of an incoming transforming while uploading the image to Cloudinary and before it is stored in the cloud for delivery. Alternatively, you can also upload images as private images as we described in a previous blog post

Summary 

We've had great fun introducing this feature, and personally think it's quite cool :)
 
Sites with user generated content, news sites and dating sites might find this feature very useful. Note however that automatic face detection is not perfect, and faces might not be detected and pixelated if the face in the picture is not clear enough. If you are going to incorporate face blurring in your system, you might want to introduce it as a part of a semi-automatic moderation system. By suggesting the automatically censored photo to a human moderator, you will save lengthy manual image processing time, while allowing the moderator to override incorrectly censored photos.
 
This feature was actually not in our original plans or to-do list. It was requested by one of our clients. Thankfully, the Cloudinary system was built with enough flexibility to introduce this new feature in no time. We were especially lucky to be able to reuse many existing building blocks - face detection, image effects support, best of breed image manipulation software and more.
 
If you need a yet unsupported cloud-based image transformation for your own web application, why don't you go ahead and challenge us?

Recent Blog Posts

React.js Tutorial: How to develop a React library

Developing a library requires a different approach from developing an application. You must consider the use of the library in someone else’s application and design for it. React is well suited for this purpose. And if the library you are creating is an adapter to another library, you can dynamically generate the component's properties definition to ensure they are forward compatible. There is however more than one way to achieve the same goal, with some conventions to follow and others to cautiously not follow. In particular, I chose to use the context function even though it is an experimental feature because it is useful when you don’t know, or can’t dictate, the way your library's components will be utilized.

Read more
Learn about AdonisJs and how to set up a CMS with it

Even though Node is fun, easy and cheap to work with, we spend a lot of time writing boilerplate codes because structure and organization is missing.

What happened to Convention Over Configuration?

While Node is simple, it requires you to make a lot of decisions, which ultimately causes confusion because it leaves you with several options. Languages like PHP, Ruby, C# and Python have one or more Molde-View-Controller (MVC) frameworks, such as Laravel, Rails, ASP.Net and Django. These help developers to achieve structure and write maintainable code with these languages. That was not the case for Node until AdonisJs was introduced.

Read more
Cloud-based image filter transformations for developers

Every picture has a story to tell. But the story it tells can change when you change the color tone, saturation, contrast, or other elements of a photo.

A few years ago, post-processing a digital image generally required a high level of skill and expensive software such as PhotoShop. But in recent years, popular photo sharing apps such as Instagram, Flickr, and Snapchat started offering built-in filters. Professionals take advantage of filters to make subtle corrections or adjustments. Casual users often apply more prominent filters that add their own unique touch or just make their images more fun.

Read more
Optimized media delivery with multi-CDN solutions
This article originally appeared on Venture Beat Magazine and is reprinted with permission.
 
As we all know, content that takes forever to load will increase your site’s bounce rates, decrease your conversions, and undeniably scar your bottom line. And by “forever” I mean more than a few seconds. A recent study by KISS Metrics found that page abandonment rates increase drastically after a load time of just four seconds or more.
Read more