Facial recognition system



what is a facial recognition:
Facial recognition is a way of recognizing a human face through technology.
A facial recognition system uses biometrics to map facial features from a photography or video.
It compares the information with a database of known faces to find a match.
Facial recognition can help verify personal identity, but it also raises privacy issues.
I divided facial recognition to 2 groups basic and advanced.
It can identify emotions such as disgust, joy, anger, surprise, fear, or sadness on a human face with image processing software,
It is even able to guess your sexuality through facial features alone.




How it works:

You might be good at recognizing faces.
You probably find its easy to identify the face of a family member, friend.
You’re familiar with their facial features — their eyes, nose, mouth.
That’s how a facial recognition system works, but on a grand, algorithmic scale.
Where you see a face, recognition technology sees data.
That data can be stored and accessed.

Step 1. GATHERING DATA
A picture of your face is captured from a photo or video.
Your face might appear alone or in a crowd.
Your image may show you looking straight ahead or nearly in profile.

Step 2. ANALIZYING Data
Facial recognition software reads the geometry of your face.
Key factors include the distance between your eyes and the distance from forehead to chin.
The software identifies facial landmarks — one system identifies 68 of them — that are key to distinguishing your face.
The result: your facial signature.

Step 3. COMPARING
Your facial signature — a mathematical formula — is compared to a database of known faces.

Step 4. DECISION
A determination is made.
Your faceprint may match that of an image in a facial recognition system database.




Who uses facial recognition?

A lot of people and organizations use facial recognition — and in a lot of different places. Here’s a sampling:

in sphere of Health
Thanks to deep learning and face analysis, it is already possible to:
- track a patient's use of medication more accurately
- detect genetic diseases such as DiGeorge syndrome with a success rate of 96.6%
- support pain management procedures

Google
Google uses "FaceNet".
On the widely used Labeled Faces in the Wild (LFW) dataset, FaceNet achieved a new record accuracy of 99.63%.
Using an artificial neural network and a new algorithm, the company from Mountain View has managed to link a face to its owner with almost perfect results.
This technology is incorporated into Google Photos and used to sort pictures and automatically tag them based on the people recognized.

Amazon
Amazon is already actively promoting its cloud-based face recognition service named Rekognition to law enforcement agencies.
The solution could recognize as many as 100 people in a single image and can perform face match against databases containing tens of millions of faces.

Facebook
Facebook uses the "DeepFace" algorithm to spot faces when you upload a photo to its platform.
The social media company asks if you want to tag people in your photos.
If you say yes, it creates a link to their profiles.
Facebook can recognize faces with 98 percent accuracy.


Mobile phone makers in products
Apple first used facial recognition to unlock its iPhone X and continues with the iPhone XS.
Face ID authenticates — it makes sure you’re you when you access your phone.
Apple says the chance of a random face unlocking your phone is about one in 1 million.

UK police.
Since January 2020 On the streets of London and in South Wales, live systems have been deployed by the police, supported by the UK government.
They are scanning faces of passersby on the street to tackle knife and gun violence, terrorism, and other major crimes.

U.S. government at airports.
Facial recognition systems can monitor people coming and going in airports.
The Department of Homeland Security has used the technology to identify people who have overstayed their visas or may be under criminal investigation.
Customs officials at Washington Dulles International Airport made their first arrest using facial recognition in August 2018, catching an impostor trying to enter the country.

China
China is a harbinger of the future for this kind of technology, companies have access to a government image database of 700 million people half it's population.
For the comparison the U.S. has had only 412 million facial images for searches, half of all American adults have their images stored in one or more facial-recognition databases that law enforcement agencies can search.
Over 600 millions of surveillance cameras were in use at the start of 2020.
China is already using this widely in security, looking for terrorists, people who have warrants out for their arrest or just people that act suspicious,
but they are also using it to let people pay in fast food restaurant, to access theme parks without having to buy a ticket and even, bizarrely, to try and catch people who steal toilet paper from public toilets.
Since the coronavirus pandemic
China's facial recognition systems are evolving to recognize people with partially covered faces as coronavirus outbreak prompts a huge increase in the number wearing masks.





Software that uses Facial Recognition

Clearview AI
Clearview AI is a new research tool used by law enforcement agencies to identify perpetrators and victims of crimes.
It searches the open web, does not and cannot search any private or protected info, including in your private social media accounts.
Clearview AI is an after-the-fact research tool, is not a surveillance system and is not built like one.
For example, analysts upload images from crime scenes and compare them to publicly available images.

FINDFACE
It is widely used for business.
Instantly know your customers and guests. Increase their loyalty and your sales with FindFace.
Get insight into a customer’s gender, age, and emotions. Tailor your offer to their true needs.

OpenBR
OpenBR is a leading facial detection and biometric recognition framework that supports the development of open algorithms and reproducible evaluations.



Reasons to be concerned about your privacy

Privacy matters. Privacy refers to any rights you have to control your personal information and how it’s used — and that can include your faceprint.

Security.
Your facial data can be collected and stored, often without your permission.
Its possible hackers could access and steal that data.

Prevalence.
Facial recognition technology is becoming more widespread.
That means your facial signature could end up in a lot of places.
You probably won’t know who has access to it.

Ownership.
You own your face — the one atop your neck — but your digital images are different.
You may have given up your right to ownership when you signed up on a social media network.
Or maybe someone tracks down images of you online and sells that data.

Safety.
Facial recognition could lead to online harassment and stalking.
How? For example, someone takes your picture on a subway or some other public place and uses facial recognition software to find out exactly who you are.

Mistaken identity.
Say, for instance, law enforcement uses facial recognition to try to identify someone who robbed a corner store.
Facial recognition systems may not be 100 percent accurate. What if the police think the suspect is you?

Basic freedoms.
Government agencies and others could have the ability to track you.
What you do and where you go might no longer be private.
It could become impossible to remain anonymous.