The Future of Facial Recognition

Corona-virus has evolved facial recognition for the better

The beginning of the future is here, although forced upon us to race with time and make peace with a world that will wear masks, scrutinize every single public interaction and create a unified population with a single goal of making our planet virus free.

A question that keeps pondering over in my head during the un-countable days of being locked up in my home:

How will security camera recognize faces, when I myself fail to recognize people under masks?

I finally have stumbled upon an amazing answer, or say technology instead; periOcular technology

Believe it or not Artificial Intelligence has helped un-mask people.

Active match is an artificial intelligence driven solution developed by pdActive that can be applied to existing security systems and provide facial recognition, behavioral analysis insights under the present conditions. The engineering teams at pdActive have used deep learning, big data, AI and other advanced technology to reach where they are today.

What is the problem faced?

It is very difficult to identify humans when 60% of the face is covered with masks. Combined with different viewing angles, accessories such as hat and faces without mask it can seem virtually impossible to identify faces.

How has this been solved?

pdActive’s periOcular technology quickly matches faces along with millions of subjects.

What is the periocular region and how does it help?

Periocular technology has been an emerging trend for facial recognition where there is no possible way to have full face or iris recognition. The area around the human eye is called the periocular region and has highly differentiating properties in different humans (like the stripes of a zebra, spots on a cheetah). It is a relatively permanent trait and is highly recognizable from distances.

Feel free to share your thoughts , queries in the comments.

You can find out more about advanced recognition technologies at pdActive

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