期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：1248-1253
DOI：10.35629/5252-030610761083
语种：English
出版社：IJAEM JOURNAL
摘要：During this pandemic it is an important measure to maintain contactless employee monitor system. Having worker attending management system is to stay correct track of the operating hours of the workers. Taking and keeping worker attending info in surpass sheet are often wasting of your time for hour worker in order that good attending system victimization face recognition and identification will facilitate saving time, cost, pretend attending and accuracy.The major objective of this project is to use Deep Neural Network and Machine Learning techniques in work. A facial recognition system could be a technology capable of matching somebody's face from digital image against a information of faces. Our project makes use of machine learning associate degreed direction system similarly as Deep Neural Network to map the faces and note the worker login details that makes the our system generates an minatory sound if that person not belongs to it company. domain and conjointly our system accustomed retrieve the non-public info through face recognition Deep Learning could be a category of machine learning algorithmic program that uses multiple layers to increasingly extract higher-level options from the raw input.
关键词：Face Recognition;Machine Learning;Deep Neural Network;caffe model(DNN Face Detector in OpenCV)
