YooniK Face is a NIST-certified facial recognition technology based on proprietary research in state-of-the-art deep convolutional neural networks and proprietary loss function, being amongst the world's top performing biometric algorithms.

It can be hosted on-prem or in the cloud (using docker container or an Azure Virtual Machine) and it is very easy to integrate using a simple REST API or one of our available SDKs.

Additionally, we are also including robust AI-based liveness detection.

Main features:

• Deep learning based face detection and face landmarks detection in images
• Face quality analysis
• Detection of spoof attacks (printed images and video material) with a robust 2D single frame liveness detection algorithm
• Face verification (1:1 face match)
• Galleries management
• Scalable face identification (1: many face match)
• Supports expression differences, partial face occlusion including face masks, side faces up to wide angles, bearded, age differences, wearing sunglasses and many other variations