Implementation of Face Recognition Automated Attendance Management System using ESP32-CAM Article Swipe
Dasari Meena
,
P. Parimalarani
,
Nikhil Kumar
,
Sk. Farukh
,
M. Babu
,
P. Ekshitheswari
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.22214/ijraset.2025.67775
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.22214/ijraset.2025.67775
Attendance management is a crucial task in educational institutions and organizations. Traditional methods of recording attendance, such as manual entry or card-based systems, are time-consuming, error-prone, and difficult to manage in large-scale environments. To overcome these challenges, this paper presents an automated attendance management system using the ESP32-CAM microcontroller integrated with face recognition technology. The system captures real-time images, processes them using a Haar Cascade Classifier for face detection, and employs Principal Component Analysis (PCA) for face recognition. Upon successful recognition, the system automatically logs the attendance into a centralized database. The ESP32- CAM’s low cost, compact size, and wireless connectivity make it an ideal solution for large-scale deployment. The proposed system achieved an accuracy of approximately 95% with a low false positive rate, demonstrating reliable performance even under varying lighting conditions. This solution reduces human effort, improves accuracy, and ensures real-time attendance monitoring, making it suitable for educational institutions and professional environments
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.22214/ijraset.2025.67775
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408777469
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408777469Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22214/ijraset.2025.67775Digital Object Identifier
- Title
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Implementation of Face Recognition Automated Attendance Management System using ESP32-CAMWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-03-24Full publication date if available
- Authors
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Dasari Meena, P. Parimalarani, Nikhil Kumar, Sk. Farukh, M. Babu, P. EkshitheswariList of authors in order
- Landing page
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https://doi.org/10.22214/ijraset.2025.67775Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.22214/ijraset.2025.67775Direct OA link when available
- Concepts
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Attendance, Computer science, Facial recognition system, Face (sociological concept), Artificial intelligence, Pattern recognition (psychology), Sociology, Political science, Law, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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