Found 33 repositories(showing 30)
Sania-hasann
This project detects cheating by tracking head and pupil movements using the Shape Predictor 68 facial landmarks. It also detects mobile phones with a YOLO model trained on the Roboflow cellphone detection dataset. Designed for real-time monitoring, it helps prevent cheating by analyzing facial cues and unauthorized device usage.
The Cheating Surveillance System is designed to detect cheating during Online Interviews/Exams by monitoring head and pupil movements and identifying unauthorized mobile phone usage. This system integrates facial landmark detection with Shape Predictor 68 and object detection using YOLO, trained on a cellphone detection dataset from Roboflow.
muhammadraza77
Exam surveillance system involves 3 major task including Cheating detection in real time once any malicious activity is detected the next job of the system is to identify the individual that has been caught doing that malicious activity in the examination hall. And lastly the system would automatically interpret the entire scene and alert the management regarding the activity with recorded video streams through a web portal as evidence of the act.
rathlavathbharath
An innovative Intelligent Surveillance Support System capitalizing on AI and Computer Vision. Enhanced conventional surveillance by incorporating real-time advancements: face recognition, theft/cheating alarms, visitor tracking, and motion detection.
DISHASONI99
This project detects cheating by tracking head and pupil movements using the Shape Predictor 68 facial landmarks. It also detects mobile phones with a YOLO model trained on the Roboflow cellphone detection dataset. Designed for real-time monitoring, it helps prevent cheating by analyzing facial cues and unauthorized device usage.
Phoenix-JI
The exam surveillance system to detect the cheating behaviours
Chavi71
Bringing integrity back to examinations — one frame at a time
Kashif581
This system integrates facial landmark detection with Shape Predictor 68 and object detection using YOLO, trained on a cellphone detection dataset from Roboflow.
Ahmedmohamedghanem
Smart Exam Surveillance System using YOLO, and tracking to detect and record cheating behavior in real-time. Supports multiple students, live monitoring, and automatic alerts, with attendance system and using RAG as an Ai_assistant
Smart Exam Surveillance System using YOLO, and tracking to detect and record cheating behavior in real-time. Supports multiple students, live monitoring, and automatic alerts, with attendance system and using RAG as an Ai_assistant
In this project, we have created a virtual examination surveillance system that will be able to monitor the examinees throughout the period of an examination. Computers are trained to detect ‘inappropriate’ motions of the candidates during an examination. We have used Viola Jones Object Detection Algorithm for the detecting such ‘inappropriate’ motions. We have also attempted to create a simple user interface to highlights specific minutes or seconds where cheating like movements happened with links to the video clips of those specific sections.
MahNasser01
No description available
The Cheating Surveillance System detects and prevents cheating during online exams and interviews by tracking head and eye movements and mobile phone use through real-time image processing and machine learning for fair, secure remote assessments.
ans-ramzan
to monitor cheating during online interview or test
Shaikisma
No description available
SanthoshBirru
No description available
Amulya-2028
No description available
AdityaGaur7
No description available
theprogrammerashi
No description available
Apurba-01
No description available
Gautam00003
No description available
ShoaibMalik10205
No description available
salmanrafiqq
No description available
Rudra83-code
AI-based cheating detection system using OpenCV, MediaPipe, and YOLO.
PRABIRBISHAL
No description available
No description available
No description available
The proposed system is a cutting-edge, real-time AI-powered surveillance solution designed to detect cheating behaviors during online interviews and examinations, thereby enhancing academic integrity in virtual environments.
Marshmallowc
ExamWatch is an AI-driven exam monitoring and grading system. It uses facial recognition for identity verification, real-time surveillance to detect cheating. A secure, efficient solution for modern exam management.
SarthakMore
An intelligent exam supervision system, named 'Squid Examiner,' that utilizes video surveillance to automatically detect and prevent cheating in examination classes, ensuring a fair and secure testing environment for academic institutions