Examination Proctoring


Auto detection of student’s suspicious activities

Pain Areas

In online exams, proctoring thousand of students manually is next to impossible

Tracking suspicious activities of a student during the exam has become a challenge for proctors where the ratio of proctor to student is more than 1:100

Data Points

Sample images of people performing restricted activities


Computer vision models will analyse the students eye, neck and body movement using webcam

Centralized dashboard will be used by the proctors to attend to the flags raised by the
model when it detects a restricted activity

Business Outcomes

Zero chance of undetected restricted activities

Higher client satisfaction

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