Facial Recognition with Deep Face Library

Hayden Kim

Los Alamos High School

Facial Recognition with Deep Face Library

Our project entails the development of a program, centered on the principles of supervised learning, with the objective of enabling the recognition of facial features within images. We hope for not only a program that can recognize faces, but one that can extend to the real-time identification of these recognized faces and features through the use of a camera feed. Our goal is to achieve a responsive facial recognition system, encompassing not only the identification of individuals but also the capacity to predict associated attributes such as emotions and age. Our strategy includes the incorporation of multiple specialized libraries to integrate live face detection and highly accurate recognition capabilities. We are planning to utilize neural networks and machine learning methodologies, with a focus on supervised learning. Additionally, we intend to leverage a limited amount of reinforcement learning techniques to further optimize our program. Our approach can be adapted to systems for unauthorized personnel detection to prevent tragedies in schools or to function as security for locations that require clearance.