EnGaze

A lightweight, real-time application to invigilate an exam automatically without requiring any manual invigilator, expensive hardware or data-set training. Suited for users with lesser bandwidth.

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Suspicious Images

During the run, following suspicious images were found that were saved for the future reference

Suspicious Images

Installation requirements :-

	1. Python  2.7.12+
	2. OpenCV 2.4.*
	3. numpy 1.11.0+

Utility :-

1. For online exams, the existing applications are heavy on user's bandwidth since they require continous video streaming.

2. Since suspicious images would be compressed & saved into some directory, they may be used for future reference by instructor too.

3. Usual Eye-gaze tracker softwares require user to NOT to be in bright enough lighting. Using Contrast optimisations, this application is somewhat receptive to that.

A major defect in a lot of existing proctoring softwares is :-

1. Majority of them requires good enough webcam for proper functioning.

2. Some require a dataset for training the model at first - Training the dataset in real-time actually slows down the application.

3. Most of them require a physical proctor at some remote location keeping an eye on students constantly. This application automates it with good enough accuracy.

Contributor

• Pranav Dixit - Github - Linkedin