Development of a module for identifying a person by photography to improve the quality of the machine-engineering plant in remote mode

作     者：D A Shabalina S A Yurkov T V Masharova E K Gerasimova S S Pichugin 

作者机构：Department of Digital Technologies in Education Vyatka State University Kirov Russia Department of Criminal Law Procedure and National Security of Vyatka State University Kirov Russia Department of Pedagogy Institute of Pedagogy and Psychology of Education FSEI HE Moscow City Pedagogical University Moscow Russia Department of Informatics Institute of Mathematics and Information Technologies (named after Prof. Nikolay Chervyakov) North Caucasus Federal University Stavropol Russia Department of General Education Academy of Public Administration Moscow Russia 

出 版 物：《Journal of Physics: Conference Series》 

年 卷 期：2021年第1889卷第2期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：A machine vision performs a variety of face verification tasks in different infrastructure environments. A facial recognition system is technically implemented as an image recognition program. It serves to automatically identify a face in an image, and then identify the person by comparing and analyzing the biometric data of the human face. Cameras are able to capture an image at a distance, which is perfect for building monitoring systems and contactless biometrics. Such software systems are particularly important in the context of remote work of employees of industrial enterprises. The purpose of research is to develop and implement a facial recognition web service for the staff department of a machine-engineering enterprise. The web service should work in conjunction with the existing data bank. Tasks of research are: to consider the fundamental algorithms of facial recognition, to formulate the basic requirements for the development and implementation of the corresponding automated web service. The significant result of research is that the developed module uses library of computer vision algorithms, image processing and general-purpose numerical algorithms with open-source code. Identification system was checked by testing on the company s website.