Biometric Authentication System
I worked in a biometric authentication startup where I helped create biometric detection models for face, voice, and fingerprint verification. The system categorized face images into N categories using a face model and real-time augmentation techniques to extract feature vectors for registration. We utilized a hybrid siamese network get feature vectors, which was compared using hybrid KD trees for prediction. The system was implemented using AWS, Python SageMaker, Redis, MySQL, and Node.js technologies. Redis was used as an in-memory data store to improve system performance. MySQL was used as the relational database management system for storing data. The combination of these technologies allowed us to build a robust and scalable biometric authentication system for real-world scenarios.
