International Journal on Science and Technology

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Attendance Management Optimization through Image Processing

Author(s) Mr. Chanakya Rakesh Marbate, Chanakya Marbate, Soham Kokate, Siddhant Dakhane, Venkat Tarun.A
Country India
Abstract This paper presents a comprehensive end-to-end framework for optimizing attendance management through image processing and a modern web stack. The design combines fast and robust face-detection pipelines with highly discriminative recognition models to achieve superior accuracy, low latency, and high scalability in real-world deployments. The proposed architecture integrates React.js 18 for the interactive frontend, Node.js/Express.js with MongoDB for the backend, and a Python microservice built on Flask, OpenCV, dlib, and the face_recognition library for computer-vision tasks and feature embedding. A hybrid detection strategy—selectively applying Haar Cascades or MTCNN—combined with FaceNet and dlib embeddings enables adaptive, threshold-based identity matching.
Beyond the core pipeline, the system emphasizes preprocessing workflows, adaptive thresholds, and runtime model selection to maintain performance under challenging conditions such as variable illumination, partial occlusion, and heterogeneous network environments. Privacy and security are treated as first-class requirements through end-to-end encryption, data minimization, explicit consent mechanisms, and retention controls in line with modern data-protection regulations.
Key contributions include (i) a comparative evaluation of multiple detection and recognition algorithms—Haar, LBPH, HOG, CNN, FaceNet, and MTCNN—under varied operational settings, (ii) a full-stack data-flow model demonstrating seamless interaction between the web and vision layers, (iii) empirical results on accuracy–latency trade-offs to guide practical parameter tuning, and (iv) a set of actionable recommendations for ethical, regulation-compliant deployment of attendance-automation systems in institutional and enterprise contexts.


Keywords: Attendance Management System, Optimization, Automation, Biometric Authentication, Database Management
Field Computer Applications
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-11-21
DOI https://doi.org/10.71097/IJSAT.v16.i4.9491
Short DOI https://doi.org/hbb8gr
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