Paper Title
Facial Recognition Attendance System
Article Identifiers
Authors
Vishal Mukku , Varun Dubey
Keywords
Face Detection, Face Recognition, Local Binary Patterns, Histogram
Abstract
A widely recognized inefficiency is the tedious manual attendance recording process. The application of facial recognition technology provides the prospect of solution. A camera set up in a strategic location takes pictures, which undergo analysis by a sophisticated computer program such as OpenCV, using complex algorithms to identify faces. This identification depends on thorough comparison to an already-built student portrait database. In the case when a positive association occurs, the program will instantly log the user's presence in a specific application—possibly an Excel spreadsheet. Not only does this automation accelerate the attendance process, but it additionally shows an overall decrease in the likelihood of errors that can afflict conventional methods, freeing up important teaching time for the instructors.
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How To Cite (APA)
Vishal Mukku & Varun Dubey (May-2024). Facial Recognition Attendance System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a201-a208. https://ijnrd.org/papers/IJNRD2405019.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : a201-a208
Other Publication Details
Paper Reg. ID: IJNRD_220312
Published Paper Id: IJNRD2405019
Downloads: 000121994
Research Area: Computer EngineeringÂ
Country: Indore, Madhya Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405019.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405019
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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