Scope & Description

Ai based proctoring system to conduct & invigilate the examination. Examiner is expected to conduct online exam with enabling web cam with the laptop/desktop. Invigilator is able to see cheating alerts during exam and he/she can take corrective exams conveniently.

User

1. Student/examiner : expected to perform exam without cheating
2. Invigilator : expected to monitor cheating incident

Use-case

1. Different person to attend exam
2. Mobile/any device usage during exam
3. Looking at others/focus point changed to different direction during exam
4. Talking during exam

Functionality

Category Functionality | Technique | Priority

**Base

1. Person detection & counting Pre-trained with YOLO Critical
2. Object detection like mobile, device Pre-trained with YOLO Critical
3. Face detection Pre-trained with YOLO Critical

**Authentication 4. Face verification Pre-trained with YOLO Mid 5. Face spoofing Pre-trained with YOLO Low 6. Eye tracking Image processing Critical 7. Lips analysis Image processing Low

Architecture :

https://miro.medium.com/v2/resize:fit:2000/format:webp/1*Ds-FMTI-lL-K-sIllocbcg.jpeg

Result analysis of PoC :

1. Response time of alert
2. Module performance testing

Demo video to detect the cheating :

https://youtu.be/td8NpTZUuC0

Implementation :

Python codes socket with JS to have client sided feature to maintain high precision and low latency application.

Future scope

1. Multithreaded codes
2. Fine tuning