Consequences of High FRR in Facial Verification Society’s out… System’s out… Looks like it’s just you and Wi-Fi now Exclusion and delays turn check-ins into roadblocks. FACIA minimizes false rejections, keeping access smooth, secure, and truly inclusive. So access is never left on ‘read’. Did You Know? Makeup and aging reduce recognition accuracy by 14%. Hijabs or veils lower performance in mainstream systems, and even top algorithms show a 0.2–0.5% gap across demographics, despite an overall accuracy of more than 99.5%. What Happens When Security Blocks the Right People? Customer Trust Drops Operational Delays Multiply Frustrated users lose confidence in your system. False rejections cause wait times and workflow slowdowns. Revenue Takes a Hit Trust Falls with Unreliable Security Blocked customers walk away, taking sales with them. Unreliable systems damage trust and your reputation. What’s the Cause Behind this Chaos? High False Rejection Rates (FRR) in facial verification lock out genuine users, causing frustration, delays, revenue loss, and eroding trust in your security. False Reject Rate (FRR)—Demystified False Reject Rate is the percentage of legitimate users that a facial recognition system incorrectly denies access to, mistaking them for impostors. False Reject Rate (FRR)—Demystified False Reject Rate is the percentage of legitimate users that a facial recognition system incorrectly denies access to, mistaking them for impostors. Where Users Get Rejected: FRR in the Real World 1. Hijab-Wearing Users on Dating Apps Society says swipe right, but the system swipes left, blocking genuine users and breaking trust where connection matters most. 2. Airport Security & Cosmetic Procedures Your flight’s on time… but your face isn’t. Cosmetic tweaks confuse biometrics, leaving passengers grounded in stress and missed flights. 3. Criminals in Hoodies Evading Detection Fashion beats facial recognition; criminals stroll by unnoticed. Hoodies become invisibility cloaks, leaving threats unchecked and security looking the other way. 4. Acid Attack Survivor Failing to Access Banking Services When courage survives but the system can’t see it, survivors get locked out of their own accounts, excluded by the very apps meant to empower them. It’s just that liveness detection systems, defined by algorithms, discriminate when survivors can’t prove their liveness. 5. Ride-Hailing Drivers Failing Verification When the system says “no ride,” racial bias can falsely reject legitimate drivers, excluding them from income, delaying riders, and stalling platforms. 6. Face ID Rejection with Makeup Changes Switch the eyeliner, lose the access. Makeup confuses Face ID, convenience vanishes, frustration grows, and trust in “smart” tech takes a hit. 7. Elderly Users Facing Biometric Barriers Wrinkles shouldn’t wrinkle access. Yet age changes trick biometrics, locking seniors out of banking, healthcare, and the digital world. 8. Retail Shoppers Using Payment Systems A new haircut or pair of glasses, and suddenly, face-pay says “declined.” Shoppers get frustrated, lines get longer, and trust in seamless checkout takes a hit. Balancing Security and Convenience: How FACIA Set its Thresholds Not one-size-fits-all: every business, use case, and user group is different, so are FACIA’s thresholds. Biometrics must do two things: stop fraud and keep logins smooth. FACIA sets FAR thresholds strictly for high-security apps to authenticate the legitimate users, while keeping FRR low so genuine users aren’t blocked. Facia Balancing FAR with FRR Detection Error Tradeoff (DET) Curves + Adaptive Thresholds Instead of applying a fixed threshold, FACIA’s AI dynamically adjusts the balance depending on the context, whether it’s a high-security banking login or a fast, frictionless e-commerce checkout. This ensures that genuine users are recognized instantly, while fraudulent attempts remain blocked. Why Partners Choose FACIA Over Others Over 90% of users passed age checks instantly with Facia, and the rest completed in the same flow. It made compliance simpler without slowing anyone down. — Chief Product Officer, Brazilian iGaming Company Facia delivered over 90% deepfake detection accuracy for live video calls, with an integration that was quick and lightweight. Strong performance without adding complexity. — CEO, Cybersecurity Company Ready to Minimize FRR Without Opening Doors to Fraud? Talk to FACIA Experts
