Face recognition based on AI

Abstract

This thesis details the creation of a robust facial recognition system leveraging artificial intelligence (AI) and Python programming. Our primary aim was to achieve highly accurate face recognition across diverse conditions. Extensive testing on a dataset comprising over 1500 individuals yielded impressive results, with success rates reaching a peak of 93.1%. This underscores the system's capability to perform effectively under varying conditions, including different angles, lighting environments, age groups, hairstyles, accessories, and makeup styles