How to Build an Audience Engagement Monitor
See how a room reacts in real time during a talk, demo, or class. Surface emotional engagement signals to the presenter as the session unfolds — not after it ends. Built with the Mental Edge Face Detection and Emotion Analysis APIs.
Who it's for
Conference organizers, corporate trainers, educators, and presentation coaches who want objective audience engagement data during live sessions, not just post-event surveys.
What you'll use
Step by Step
- Point a camera at the audience (or pull a video stream from an existing conference room camera).
- Capture frames at your chosen interval (every 5–10 seconds works well for a rolling aggregate).
- Run face detection on each frame to count visible audience members and confirm usable footage.
- Submit each frame (or a short clip) to the emotion analysis endpoint. Track the job IDs.
- As results arrive, compute a rolling aggregate of audience emotion scores — enjoyment, surprise, and engagement-correlated AUs trend up when content lands; sadness and low expressivity trend up as attention fades.
- Surface the rolling aggregate to the presenter via a simple dashboard, a color indicator on their monitor, or a Slack message at the break.
The Result
A real-time engagement monitor that tells the presenter when the room is with them — and when they're losing it — so they can adjust pace, add an example, or call a break at the right moment.
All developer tutorials | Emotion Analysis API | Face Detection API