Face Recognition Efficiency for Different Environmental Influence Conditions

Abstract

his article concentrated on the study of modern deep learning algorithms for face recognition, to determine methods for as-sessing the effectiveness of detection. On the basis of the most optimal in terms of hardware algorithm implementation to de-termine the impact of capturing conditions on the resulting characteristics of the algorithm with establishing the most opti-mal conditions for its usage in real environment. For major task of the study the hardware complex was implemented based on typical IP camera and specialized computer. The obtained re-sults can be used during implementation of such systems in CCTV applications and improving deep learning face recognition algorithms during scientific studies.