Oz Biometry vs. PingID

Oz Biometry - Biometric face recognition with the highest accuracy: 99.99% in NIST FRVT. Developed by Oz Forensics specialists, the biometric module incorporates the latest practices in artificial intelligence and is consistently improved by continuous data enrichment. Face recognition algorithm from Oz Forensics achieved one of the best test results in accuracy on LFW dataset in University of Massachusetts tests in 2020 MIT LFW. The Oz Biometry module allows to identify people with a speed of less than 1 second and with 99.87% accuracy (according to MIT LFW tests).

PingID is a cloud-based, adaptive multi-factor authentication (MFA) solution designed to enhance security while maintaining user convenience. It enables organizations to implement robust authentication measures across various applications and services, ensuring that only authorized users gain access. By integrating seamlessly with existing identity systems, PingID supports a range of authentication methods, including mobile apps, biometrics, security keys, and more, catering to diverse user preferences and security requirements.