ID Verification

Financial, government, healthcare, and other organizations are increasingly using facial recognition for identity verification.

Applications such as Face ID for iOS, Face Authentication for Android, AML/KYC systems, payment gateways, contactless ticketing, and physical access controls rely on accurate biometric authentication. However, the industry faces challenges with AI bias, privacy regulations, and fraud. Recent events have highlighted the strong bias in existing datasets, and most RFPs for biometric vendor technologies now include requirements for managing demographic bias. The development of more performant models has been hampered by the inability to capture human data due to privacy concerns and regulations. As the use of biometric authentication has increased, so has the rate of fraud and spoofing. The industry is struggling to improve algorithms that reduce harm from malicious actors. To address these issues, Synthesis AI customers are increasingly turning to synthetic data to build more inclusive and privacy-compliant biometric models.