IDScan.net's Anti-Spoofing engine prevents fraudulent attacks that tried against facial recognition solutions.
How it Works The Anti-Spoofing technology uses modern convolutional neural networks (CNNs) for the detection of fake photos. The CNN performs a 3-dimensional scan of the individual’s face. This fast approach to fake photograph detection eliminates the need for 3-dimensional cameras or detectors.
What it Prevents
- Print Attack An attack when a digital image of another person is used on a device to fool a system.
- Replay/Video Attack An attack when a looped video of a victim is used to mimic natural movements.
- 3D Mask Attack An attack where a physical mask is made of the victim and attempts to use its physical features to pass depth sensors and mimic natural movements.
Try IDScan.net’s Anti-Spoofing technology using our Demo page.