Advancing Large-Scale Facial Recognition: Leveraging Common Strategies from Public Target Recognition

Abstract

This study explores how strategies from public target recognition can advance large-scale facial recognition technologies. The research aims to address key challenges in accuracy and ethics, which are critical for the broader adoption and acceptance of facial recognition systems. By integrating public target recognition strategies, we demonstrate significant improvements in system accuracy and ethical considerations. The study uses an empirical approach of empirical studies, simulations and comparative analysis. Interdisciplinary teamwork is able to develop technology as well as handle ethical problems. This work makes a contribution toward the application of a comprehensive framework for integrating public target recognition strategies into facial recognition systems in terms of principle, implementation, and policy, as well as ethics and future technological development. Accuracy, ethics, interdisciplinary collaboration, biometric systems, privacy, fairness, bias, and transparency all relate to facial recognition / public target recognition.