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Smart Attendance System Using Face Recognition

  • Anshu Kumar Pandey,
  • Anmol Kumar,
  • Aprna Tripathi,
  • Abdul Aleem

摘要

Systems for face identification and recognition have been developed recently due to research. Governmental organizations, financial institutions, and social media platforms all employ some. Using modern technology and deep learning strategies; we can monitor attendance by creating a system that recognizes students’ frontal faces in a classroom. The area of the head that extends from the forehead to the chin is known as a face (Oxford Dictionary). One of the biometric techniques that will be crucial for this system is face recognition. The front of the human face is the most informative part of social interactions because it conveys crucial information about a person or group. Because of their distinctive faces, people can be easily identified. The recommended course of action is to develop a working prototype that will assist the classroom's attendance system by recognizing students’ frontal faces in a nearby photograph. The problem of students and intermediaries being listed as present, even if they are not, is easily resolved with this system. Face recognition is crucial for mobile devices to operate and execute specific duties. This concept is the foundation for a smart attendance system, which will be quicker than manual attendance. This strategy will be effective for keeping track of student attendance and records.