In today’s world, facial recognition technology is widely being used for security purposes, but it comes with some vulnerabilities. Imagine … More
Tag: face recognition
Normalization for Facial Recognition with MediaPipe
Detection and alignment are important early mandatory stages of a modern facial recognition pipeline. However, face detection depends on extracting … More
Large Scale Face Recognition with Pinecone Vector Database
A production-driven facial recognition pipeline comes with the common concerns about how to store the vector embeddings. Because vectors are … More
Deep Face Recognition with Neo4j
Graph databases come with the power of discovering relations hard to find. Here, Neo4j is a cool graph database. As … More
Tech Stack Recommendations for Face Recognition
Determining the architecture is a significant stage for production driven purposes. Herein, a facial recognition pipeline comes with wide product … More
Deep Face Recognition with Redis
Key value databases come with a high speed and performance where we mostly cannot reach in relational databases. Herein similar … More
Deep Face Recognition with Relational Databases and SQL
A face recognition task requires to store multidimensional array and make calculations over it. This task is not mostly matching … More
Deep Face Recognition with Cassandra
We mostly need the power of map reduce of no sql databases when the data becomes really big and massive. … More
Deep Face Recognition with mongoDB
Face recognition is mainly based on similarity search on facial embeddings. Researches mostly focus on storing vector representations on memory. … More
Deep Face Recognition with ArcFace in Keras and Python
ArcFace is developed by the researchers of Imperial College London. It is a module of InsightFace face analysis toolbox. The … More
