iMocha's AI-powered proctoring analysis helps you intelligently filter candidates who have violated the proctoring limits without opening each report.
Going through each candidate's report and checking the proctoring metrics is time-consuming. To resolve this, we have introduced the AI-powered proctoring analysis. This will help you quickly identify candidates who have gone beyond the permissible limits and filter them out. This is applicable for both Window Violation and Image Proctoring.
Window Violation
While window violation is enabled by default, you, as a test administrator, can modify the settings as per your requirements. So the flag will be raised as per the time duration mentioned. E.g., if a candidate was outside the test window up to 10 seconds for 4 or 5 times, it will still be within the tolerable limit and get the green flag. For the test to terminate, the candidate must be outside the test window for above 1 minute 5 times during the test.
Image Proctoring
Image proctoring can be enabled at the invitation level. However, the settings can be controlled from here.
Define tolerance levels for image violations by setting clear, non-overlapping ranges for Green, Yellow, and Red categories. Ensure each range has distinct thresholds within 0 to 99.
Example (Valid): Green (0–2), Yellow (3–5), Red (More than 5)
Example (Invalid): Green (0–3), Yellow (3–6), Red (More than 5) — Overlap at values 3 and 6.
Video Proctoring Settings
How will this look in the proctoring snapshot?
- After test completion, the proctoring analysis can be seen under the reports itself.
Click the bar graph icon or View Report icon.
2. Click on Proctoring Details for a detailed view of the report.
With this release, iMocha brings a significant improvement to how proctoring violations are handled. Moving away from the earlier rigid and hardcoded logic—which applied the same sensitivity to all tests—the new configurable proctoring settings offer organizations the flexibility to tailor violation detection based on the nature and risk level of each assessment. Admins now have the ability to define how strictly the system should flag suspicious behavior, both at a global level and for individual tests. This ensures more accurate monitoring, reduces false positives, and creates a more balanced and customizable test environment aligned with organizational policies.
For any queries, mail us at support@imocha.io.