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

Generation of Induced Pluripotent Stem (iPS) Cells from Genetically Altered Somatic cells
Generation of Induced Pluripotent Stem (iPS) Cells from Genetically Altered Somatic cells
Paraptosis: a Newer Approach to Target Cancer
Paraptosis: a Newer Approach to Target Cancer
A study of Biological Activity of Extracted Microbial Biosurfactant
A study of Biological Activity of Extracted Microbial Biosurfactant
Seabuckthorn – A Repository of Bioactive Phytochemicals
Seabuckthorn – A Repository of Bioactive Phytochemicals
Hybrid Solar and Archimedes Spiral Wind Turbine Tree for Microgrid
Hybrid Solar and Archimedes Spiral Wind Turbine Tree for Microgrid
Admissions Apply Now