ProjectBlog: Facial Recognition: Past, Present and Future

Blog: Facial Recognition: Past, Present and Future

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Facial Recognition: Past, Present and Future

The development of artificial intelligence systems is an engine that has evolved from a futuristic fairytale into a central piece of today’s digital, technological and social landscape. It makes everything becomes better for human beings and simplifies our daily routines.

Nowadays, the hottest technology of artificial intelligence is computer vision — and especially facial recognition. It has one of the highest practical and technical capacities. Biometrical data that can be obtained sets a new groundbreaking kind of data for tons of solutions in different fields and industries.

The percentage of people indifferent to this technology is low. The first group argues that facial recognition will break all the basic understandings of personality and of personal data, and others afraid that it will result in job cuts and increase global unemployment. A third party believes that all these changes are only a breath of fresh air in our daily routine and all the innovations are directed at increasing the level of quality of our human lives.

But let’s get away from other people’s opinions and investigate it step by step.

Facial recognition itself is a technology that is capable of identifying a person from a video source, comparing it with the existing database and using biometric verification technology, which helps to identify and authenticate individuals on the basis of their unique characteristics. Facial recognition algorithms extract the information from a person’s face to a biometric template and analyses the features against a set of rules previously set up within the algorithm.

Some historical facts: The first people who worked on facial recognition were Woody Bledsoe, Helen Chan and Charles Bisson during 1964 to 1965. That development did not lead to any valuable results because any emotion led to failure. Their prototype also faced failure when there were changes to the lighting conditions.

Only at the end of the 20th century did IT engineers develop a system that could detect faces and store them in a database.

However, we are not interested in old, failed technics, so let’s come back to our reality.

The first thing that pushed facial recognition to the masses was Apple’s password feature for its iPhone X. They took the responsibility to educate and adopt people to the tech. After this successful start, Samsung, Huawei and other technology giants mustered the courage to add a facial recognition feature to their devices as well.

Today, facial recognition in device authorization is very common and is on equal terms with using a fingerprint.

Nevertheless, let’s not forget that a face is not only a substitute for a password but is a unique biometrical mark, and realizing that can offer recently unknown prospects.

The overwhelming majority of industries use facial recognition solutions for various interests and in different operations — depending on the features included in the system.

The ORBL platform has five neural networks that can recognize face, gender, age, mood and liveness. That set of features provides solutions for security, stuff management, marketing… the list going on indefinitely.

In the previous post, we told you about one of the solutions based on the ORBL facial recognition platform — payments by face. Just imagine: no cards, no cash… all you need is just your face (If you haven’t read about it yet, be sure to follow the link below).

Interested in facial recognition applications? We are going to answer all your questions in further weekly stories. Follow ORBL in order not to miss anything.

And don’t forget to read the previous stories and leave your feedback, if you haven’t already done so:

“WE ARE AGAINST” Designers support millennials to be anonymous

What’s Hot at MWC 19

From Concept to Implementation

Source: Artificial Intelligence on Medium

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