In today’s world everywhere you go new technology helps make various processes easier for individuals and companies. Face recognition is one of the functions of biometry that is rapidly developing around the world and finds many uses. The demand for automation is continuously growing which means day by day we will be dealing with more usage of advanced solutions based on artificial intelligence as well as machine learning. Get to know more about the spectrum of possibilities that this process carries in this article.

Why is face recognition significant?

This is a well-known technology known for years in different fields. One of the first uses of facial recognition was in criminality. This method creates more security (in the authorisation process), as well as helps track offenders (automatic search of video and picture database).

Thanks to an advanced algorithm system it can find a use for other purposes. It allows an analysis of visual materials in the search for content showing the image of a person. As a consequence, it creates many opportunities to develop new content for publishers. It works excellent for e-commerce. In the age of “blind advertisement” publishers and advertisers need to follow on technology trends, stand on the height of the task to meet the users need and be informative through ads.

How can you use this technology with Plastream?

Our studies showed 90% accuracy in the context of recognising faces in videos and photos.

Easier and more precise archiving

Creating and archiving content is even more time consuming than it’s manual analysis. Facial recognition automatically groups all content in which the person is visible. This system can also tag them with additional categories. For example, a picture of a known actress can be categorised by what she’s wearing or the context in which she’s in. Thanks to this if the publisher ever needs to find a specific picture then they will be able to do it in a few minutes. On the same principle, the system will save the user in-depth content analysis and will tell which e-commerce products can be matched.

Creating new content faster

This solution can be used by all digital media that produce a considerable number of texts with pictures and videos. An algorithm will help archive data and allow access to content to be quicker and more comfortable. This creates new possibilities of making new material- without paying more or engaging human resources. Example? Amongst hundreds of a particular celebrity’s pictures, the mechanism can find those in which the star is wearing a suit or is at an awards show. It’s much easier and faster to prepare material about politics thanks to facial recognition.

New ad opportunities

New content opens promotion options. In many cases, content created based on face recognition wouldn’t be in the editor’s plans. Thanks to face recognition and the right automatic tagging based on analysis creating even more content is possible and used to the maximum. All content can be linked with ad messages that can convert on e-commerce sites. Similarity Search allows finding identical products or similar to the ones in the content: the more content is delivered, the more chances for a purchase.

See for yourself how automated processes like face recognition can change your business- contact us.

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