Introduction video of Faceprocessor V2

Do you need reliable facial analysis that can do more?

But at the same time you do not want to rely or spend a fortune on an existing cloud-based solution? Maybe you have an existing workflow or even want to build a new workflow that can work offline as well as online?

Then you are at the right place. Faceprocessor V2 consists of a suite of fully ready deployable state of the art deep neural networks. These deep neural networks address different facial analysis tasks.

You can use the different networks inside your existing application with very little ease. You do not have to do the time consuming step of gathering enough training data or spending days / weeks on training just to find out in the end it is not good enough and then have to reiterate the whole process. With our solutions you can jump right to the end.

Our deep neural networks provide out of the box different facial image analysis and augmentation tasks. They all take advantage of using Mut1ny’s unique expertise, unique assembled training data and constantly evolving and updated deep neural networks for facial feature and structural analysis. This will save you a lot of time and allows you to focus on your key product or task instead of being sidetracked.

Faceprocessor can help your application or process that deals with facial images, videos or livestreams to reach the next level

Do you want to modernize and extend your software, service or mobile phone App? You also deal with lots of facial image content? If the answer to both is yes then Mut1ny’s Face processor might be something you should consider.

Need a customized solution or advice & help in deployment?

Our products do come with ready slot-in example code you can use for different frameworks but if that is still too much work for you or our solutions does not quiet covere what you need. No problem get in contact with us and we can help you out in any way possible using our unique expertise in the area of deep neural networks, image & video processing and computer vision

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