SightRadar

Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy. The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks. Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen. On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .

It contains such capabilities as face detection, attribute analysis, face comparison, and liveness detection. It is flexibly used for financial, PAN security, and retail industry scenarios. It meets business requirements, such as identity verification, human face attendance, and gate access. It can detect the human face rapidly and return to the human face box position. Also, it can identify several kinds of attribute information accurately and output 150 key point coordinates on the face. It can extract the face characteristics compare two faces' similarities and return a comparison score. So, it can judge whether they are the face of the same person. It supports the verification of the name, identity card number, and face picture in terms of the authoritative data source. So, it can judge the authenticity of the user's identity precisely. It can call face detection, tracking, acquisition abilities offline, support liveness detection, and capture high-quality face pictures.