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

Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines
Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines
Visible Light Communication based Local Area Network (V-LAN) Design
Visible Light Communication based Local Area Network (V-LAN) Design
Socio-Economic Empowerment of Women: Product Marketing and Skill Development
Socio-Economic Empowerment of Women: Product Marketing and Skill Development
Software test case repository maintenance automation using AI
Software test case repository maintenance automation using AI
Admissions Apply Now