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  • 标题:ATTENDANCE MONITORING SYSTEM USING OPENCV
  • 本地全文:下载
  • 作者:V. Geetha ; M.Jishnuvardhan reddy ; M.Venkata karthik
  • 期刊名称:International Journal of Early Childhood Special Education
  • 电子版ISSN:1308-5581
  • 出版年度:2022
  • 卷号:14
  • 期号:5
  • 页码:697-704
  • DOI:10.9756/INTJECSE/V14I5.68
  • 语种:English
  • 出版社:International Journal of Early Childhood Special Education
  • 摘要:Face recognition technology is crucial in almost every industry in our digital age. One of the most popular biosciences is face recognition. It provides additional benefits and will be used for identity, authentication, and security. Despite having worse accuracy when compared to fingerprint and iris recognition, it is nonetheless frequently utilized because of its non-intrusive and contactless nature. A facial recognition system may also be used for attendance tracking in offices, institutions, and other places.The present manual attending system is time-consuming and difficult to maintain, thus this technique attempts to create a category attending system that employs the face recognition concept. Additionally, the possibility of proxy attendance exists. As a result, this strategy will become more necessary.Information production, face detection, face recognition, and attending change are the four aspects of this strategy. The images of the pupils in school serve to inform. Face identification and recognition are carried out using the native Binary Pattern bar chart algorithmic rule as well as the Haar-Cascade classifier numerous times. Faces may be seen and identified in the room's live-streaming footage. At the end of the session, those who attended will be mailed letterhead addressed to the various colleges.
  • 关键词:Automatic Attendance;Face Detection;Face Recognition;ImageEnhancement;Enrollment
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