AI that sees materials, not emotions.
Computer vision trained on assessment environments powers human-reviewed exam integrity. It identifies what's in the room. People decide what it means.
What the AI detects.
Unauthorized devices
Phones, tablets, and secondary screens in the exam space.
Headphones and earpieces
Headphones and earpieces in view of the camera.
Additional people
Anyone else present in the room during the exam.
Environmental changes
Someone entering the frame mid-exam.
Screen sharing anomalies
Unexpected sharing or mirroring of the exam screen.
Camera obstruction
The camera being blocked or repositioned.
What the AI never does.
- Never scores behavior or body language
- Never analyzes facial expressions or emotions
- Never auto-suspends an exam
- Never makes a final determination
Every detection is a flag for human review, not a verdict.
Confidence and transparency.
Every flag includes a confidence score, a timestamp, and the visual evidence, the foundation of human-reviewed exam integrity. Reviewers see exactly what the AI saw.
Awaiting human review. No action taken automatically.
Allowed items are your call.
Not every object is a violation. Nigel lets instructors configure what's permitted per exam.