Volume no :
10 |
Issue no :
01
Article Type :
Google Scholar
Author :
Ms.Uma Maheshwari P, Anand C, Arulkumaran M, Deepak S, Sasi Kumara A
Published Date :
07 - April - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 8
Abstract : In modern educational environments, ensuring student safety, engagement, and academic performance requires more than traditional attendance tracking methods. This paper presents an Automated Student Monitoring and Performance Analysis System that combines attendance automation, abnormal activity detection, behaviour analysis, and academic performance evaluation using Artificial Intelligence and Computer Vision techniques. The proposed system utilizes facial recognition to automatically record attendance in real time, eliminating manual errors and proxy attendance. In addition to attendance monitoring, the system continuously analyzes classroom video streams to detect abnormal activities such as unauthorized movements, suspicious behaviour, or rule violations. A behaviour analysis module evaluates student attentiveness, participation, and interaction patterns using machine learning models. Furthermore, the system incorporates an academic analysis module that processes attendance records and performance data to identify trends and predict student outcomes. A real-time alert mechanism is integrated using the Telegram API, which sends instant notifications to faculty when abnormal activities are detected. The system is implemented using Python, OpenCV, and deep learning frameworks, ensuring high accuracy and scalability. Experimental evaluation demonstrates improved efficiency, enhanced classroom monitoring, and proactive decision-making support for educators. This work contributes to the development of intelligent classroom ecosystems by integrating surveillance, analytics, and automated alert systems into a unified platform.
Keyword Artificial Intelligence, Face Recognition, Behaviour Analysis, Abnormal Activity Detection, Academic Analytics, Computer Vision, Deep Learning, Smart Classroom, Telegram Alert System, Real-Time Monitoring.
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