Article

Automated Classroom Observation and Reporting Using Deep Learning and Behavioral Analysis

2026-05-19

Abstract excerpt

<title>Abstract</title> <p> Manual classroom attendance monitoring is in-herently time-consuming, prone to human error, and fails to capture objective metrics regarding student engagement. This paper proposes ClassVision, a comprehensive edge-deployable computer vision framework designed for simultaneous atten-dance tracking and real-time behavioral analysis in educational environments. The proposed architecture...

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Literature Corpus work: 93af5ad7-a0dd-58c9-ba86-c3210f48844d
DOI: 10.21203/rs.3.rs-9752108/v1

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