Advertisements
Face recognition is increasingly being used as a way to access your money and your devices. When it comes to police work, this can quickly mean the difference between freedom and imprisonment (stock)
Advertisements

Face recognition is increasingly being used to gain access to your money and your devices.

When it comes to police action, this can quickly mean the difference between freedom and imprisonment.

Faces can be scanned remotely, generating a code that is as unique as your fingerprints.

This is made by measuring the distance between different points, such as the width of a person's nose, the distance between the eyes, and the length of the jaw line.

Advertisements

Face recognition systems monitor more than 80 comparison points, also called & # 39; nodes & # 39; and combine these to build a person's faceprint.

These facial images can then be used to search a database, linking a suspect to known perpetrators.

Face recognition is increasingly being used to gain access to your money and your devices. When it comes to police, this can quickly mean the difference between freedom and imprisonment (stock)

Face recognition is increasingly being used to gain access to your money and your devices. When it comes to police, this can quickly mean the difference between freedom and imprisonment (stock)

Face scanning systems used on personal electronic devices work slightly differently and vary from gadget to gadget.

For example, the iPhone X uses Face ID via a 7MP front camera on the handset that has multiple components.

One is a point projector that projects more than 30,000 invisible points on your face to map its structure.

The point card is then read by an infrared camera and the structure of your face is transferred to the A11 Bionic chip in the iPhone X, where it is converted into a mathematical model.

The A11 chip then compares your face structure with the face scan stored in the iPhone X during the installation process.

Security cameras use artificial intelligence systems that can scan for faces, refocus, skew, and stretch before they are converted to black and white to make facial features easier for computer algorithms.

Advertisements

Error rates with face recognition can be as high as 0.8 percent. Although this sounds low, in the real world it means that eight out of every 1,000 scans falsely identify an innocent party …

Such a case, reported in The interception, details how Steven Talley was falsely matched with security images of a bank robber.

. (TagsToTranslate) Dailymail (t) news (t) texas

Advertisements