Making Facial Recognition Affordable and Practical

In today’s episode, I sit down with Michael Doherty, founder and CEO of Verifyfaces, to break down how facial recognition can be affordable, fast, and practical without relying on expensive AI. We talk about his shift to facial geometry, turning faces into mathematical data that runs on existing cameras while cutting costs by up to 90%. Michael explains how this approach improves search speed, reduces operator fatigue, and enables real-time alerts for schools, retailers, monitoring centers, and domestic violence prevention. We also cover rare use cases like biometric-triggered emergency alerts and how smarter architecture can prevent incidents before they escalate.