Back close

Video Analysis for Malpractice Detection in Classroom Examination

Project Incharge:Dr.T.Senthilkumar
Co-Project Incharge:G.Narmatha

The proposed work aims to detect the suspicious activity detection in an examination hall. The system framework consists of three parts to monitor the student activity during examination. Firstly, the face region of the students is detected and their orientation is monitored using Haar feature Extraction. Secondly, the hand contact detection is analyzed when two students exchange papers or any other foreign objects between them by grid formation. Thirdly, the hand signaling of the student using convex hull is recognized and the alert is given to the invigilator.

Related Projects

Numerical Modelling of Flow-Forming process and Experimental Validation
Numerical Modelling of Flow-Forming process and Experimental Validation
Women’s Empowerment: Rural Toilet Builder and Community Sanitation, Phase One
Women’s Empowerment: Rural Toilet Builder and Community Sanitation, Phase One
Biocompatible Antenna for Wearable Health Care Application
Biocompatible Antenna for Wearable Health Care Application
Automated structural evolution and performance optimization of RF bandpass filters – An evolutionary Algorithmic Design Approach
Automated structural evolution and performance optimization of RF bandpass filters – An evolutionary Algorithmic Design Approach
Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis
Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis
Admissions Apply Now