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  2. Configuring the Test Settings

How to set up Image Proctoring?

Know to set up Image Proctoring to capture real-time images of the candidates when they appear for the test

iMocha uses advanced AI-enabled cheating prevention measures to ensure that the candidates take the tests fairly. Image Proctoring is an online invigilation that helps you get the candidate's images when the Test is being attempted. Online proctoring of the candidate is conducted remotely by the system in real time. Live images of the candidate are taken at regular intervals through their system's webcam. The system reports if the candidate has used unfair means to take the Test.

Note: Ensure to enable Image Proctoring at the Global and Test Levels. You can also select Image Proctoring while inviting candidates for a particular test.

To enable Image Proctoring at Global Level:

  1. Click Settings -> Global Settings.
  2. Click Master Test Settings from the list on the left.
  3. Click Proctoring Settings. 
  4. Select Image Proctoring.
  5. 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.
  6. Click Save.
To enable Image Proctoring at Test Level:
  1. Click My Tests.
  2. Select the Test for which you want to enable Image Proctoring.
  3. Click Settings > Proctoring Settings.
    Screenshot 2025-04-09 at 4.44.56 PM
  4. 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.
  5. Click Save.

Ensure to enable Image Proctoring when you send email invites/open links to candidates

Image Proctoring will be enabled for this test, and you can see the images in Reports under Proctoring Details tab

How does Image Proctoring work?

The system captures a base profile image when the candidate starts the test. 

                                 

Using this image as a reference, the system will display the following image violation conditions:

Screenshot 2025-04-10 at 12.40.57 PM

  • No face detected 
    When the camera cannot detect the candidate's face or the candidate covers their face, the system gives an error and highlight the image in the reports. 
  • Multiple faces detected
    The system will raise a flag when two or more faces are detected along with the base image. 
  • Unrecognised face detected
    The system will raise a flag when someone other than the candidate tries to give the test. It compares the base image to detect this violation.

Note: The total violations are based on the custom violation settings for this test. The number of consecutive images considered as one violation is configured for all the categories (Unrecognized Face, Multiple Faces, No Face) and may differ from the default settings.
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Understanding the Proctoring Test Report

The report contains the following:

  • Color Coded Warning Flags to identify low, medium, and high cheating intensity at first glance.
  • Color Coded Warning icon to indicate the intensity of the number of Window Violations, along with the time duration for each violation.

Image Violation Display Enhancements:

  • The total number of image violations will be displayed in the proctoring tab.

  • The count of violated images per section will be shown.

  • The violation summary label (e.g., "4 Violations, within tolerable limit.") will reflect the calculation logic, with a flag icon added next to the summary.

Screenshot 2025-04-10 at 11.54.43 AM

iMocha’s Image Proctoring solution considers tolerance levels for different types of cheating and raises precise warning flags. The final cheating detection report that comes to your table has eliminated misinterpretations of fraud instances.The system already adjusts any scope of errors captured during cheating instances so that only a genuine count of violations is considered for decision-making. 

Previously, proctoring violation logic was complex and rigid, with hardcoded rules that applied uniformly across all tests—regardless of context or risk level. With this release, iMocha introduces configurable proctoring settings, empowering admins to tailor violation sensitivity based on organizational needs. These settings offer greater flexibility and control, both globally and at the individual test level.

Note: Video and Image proctoring are not available for Video Interview questions. Since administrators have access to the recording, proctoring is irrelevant.

For any queries, mail us at support@imocha.io.