How Your I Phone Sees in the Dark From IR Lasers to Vector Databases: Engineering Biometrics at…

1. 1Explore Apple's use of IR lasers and 30,000 invisible dots for biometric authentication
2. 2Learn about dedicated silicon and its role in biometric security
3. 3Understand how high-dimensional math is applied to vector databases for secure device authentication
4. 4Research potential applications of this technology in other fields, such as security or healthcare
5. 5Experiment with implementing similar biometric security systems using machine learning and vector databases

This article is relevant to machine learning engineers, data scientists, and software developers working on biometric security systems, as it provides insights into Apple's engineering approach and potential applications for their own projects.

💡 Apple's biometric security system relies on a combination of IR lasers, dedicated silicon, and high-dimensional math to provide secure authentication

🔍 How Apple uses IR lasers & vector databases to secure 1 billion devices! 💻