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

Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Behzad-Vizing Conjecture on Graph Coloring for Product Graphs
Develop Robust Implementation Frameworks for Blue Economy
Develop Robust Implementation Frameworks for Blue Economy
AI enabled Trajectory Analysis of Mid-size fishing vessels for Business and Safety
AI enabled Trajectory Analysis of Mid-size fishing vessels for Business and Safety
Essential oils and Bacteriophages as Alternate Strategies to Combat Antimicrobial Resistance in ESKAPE Pathogens
Essential oils and Bacteriophages as Alternate Strategies to Combat Antimicrobial Resistance in ESKAPE Pathogens
Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Admissions Apply Now