In this project, we have built an automatic online exam proctoring system that provides improved authentication and abnormal behavior monitoring of examinees in the online examination based on image information. We have used image processing and deep learning to build the system.
Refer to the Report for more details.
Watch the Video for more details.
Refer to the Installation Guide.
| Full Name | Email ID |
|---|---|
| Apar Garg | [email protected] |
| Gopan Ravikumar Girija | [email protected] |
- Instead of maintaining a database of student face images, face verification can be performed directly with the photo in the ID Card issued to the student. Reference
- Distance estimation b/w webcam and candidate to check if candidate is sitting at a reasonable distance from the webcam. Reference
- Lip reading
- Accurate eye tracking/gaze estimation.
- Accurate face spoofing detection.
- Detect nano-sized, non-wired devices such as Bluetooth earpieces,Spy eyewear, invisible smartwatch.
- Speaker verification Ref1 | Ref2
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