Here is a quick synopsis on how this dark facial recognition system works:

Computer scientists Saquib Sarfraz and Rainer Stiefelhagen from the Karlsruhe Institute of Technology, Germany, created a system that analyzes dozens of infrared images of a person’s face and then compares them to dozens of images taken in daylight.

The comparisons are made with a computer program that works using a so-called deep neural network system designed to imitate the function of a human brain.

In a study published this week, Sarfraz and Stiefelhagen explain how the deep neural network analyzed 4,585 images taken in both infrared and visible light, and was able to establish a match in just 35 milliseconds.

Where does the line between technological advancement and privacy end?  Hopefully this will be used for productive purposes.

And below here is a video that discusses some of the core properties of how facial recognition software works.  It is a bit advanced but still an interesting watch.

This module covers face detection using Haar Cascades in the context of a Viola-Jones object detection framework that was trained to identify images via that AdaBoost algorithm.

thanks to bgr.com for the great info

thanks to discovery.com for the great info