Automated Attendance Using Face Recognition

Smit Vasani; Dr. Jitendra Saturwar; Jay Sarvaiya; Harsh Rawal

Automated Attendance Using Face Recognition

Authors: Smit Vasani, Dr. Jitendra Saturwar, Jay Sarvaiya, Harsh Rawal

Unique Paper ID: 151295
Volume: 7
Issue: 12
PageNo: 379-382

Keywords: OpenCV Python Face detection Haar Cascade Classifier Face recognition Local Binary Patterns Histograms (LBPH)

Abstract:
In a world progressing towards a digital age, even today in classrooms manual attendance systems are still used on a macro scale. Instead of using this time-consuming and laborious method, we can instead design an automated attendance system to save time. The proposed system will make use of OpenCV Module in python which uses Haar Cascade Classifier for face detection and Local Binary Patterns Histograms (LBPH) for face recognition. The proposed system will contain stored images of studentâ€™s faces in the system's database for which attendance records are to be maintained. On successful recognition of students' faces present in the classroom, they will be matched with the database of the system and for those students registered in the database, an excel sheet will be created to record their attendance.

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Cite This Article

ISSN: 2349-6002
Volume: 7
Issue: 12
PageNo: 379-382

Automated Attendance Using Face Recognition

Available:https://ijirt.org/Article?manuscript=151295

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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