Google Photos’ Facial Recognition Can Now Identify You Without Seeing Your Face

Previously, photo apps relied on facial-recognition technology to identify individuals and group them into albums. Typically, a front-facing image of a person’s face was necessary for the system to recognize them accurately. As a result, many photos taken from different angles, behind, or even of people with masks on would be lost amid the vast collection of images on your phone.

Google Photos has recently enhanced its facial recognition system to be more intuitive, enabling it to identify individuals even when their faces are not visible. While this may sound slightly eerie, the new feature has certain advantages.

Although Google did not officially announce this update, it was confirmed by Rita El Khoury from Android Authority that the machine l-learning algorithms have been upgraded. The system can now group people based on other visual cues and attributes, such as their clothing, within a specific timeframe.

For instance, if you have multiple photos of someone wearing the same outfit but taken months apart, the tech will not assume it is the same person. However, if the pictures were taken just minutes apart, it will presume they are the same individual and group them.

It’s important to note that the system doesn’t automatically tag these individuals. Instead, it suggests the addition with the prompt “face available to add.” You can confirm if it is the correct person or add someone else if the system has made an error.

According to Android Authority’s El Khoury, who tested the feature, it achieves an estimated success rate of 80% to 85%. 

[via Android Authority and DIY Photogrpahy, cover photo 150530767 © Oleg Gud | Dreamstime.com]