Alfavision Ɨ MoodMe

Immersive Marker Film:
Emotion in the Bunker

A 2-minute CGI film for the "Dear Time" exhibition at Tabloo Science Museum in Dessel, Belgium — using MoodMe's Emotion AI to track visitors' emotional responses to the long-term danger of radioactive waste.

Emotion AI CGI Film Museum Installation Radioactive Markers
NIRAS ONDRAF – Alfavision Production – Powered by MoodMe
The Challenge

The Tabloo exhibition needed to confront visitors with the existential danger of radioactive waste — a hazard that persists for thousands of years. The climactic film had to provoke genuine emotional responses, but the team also wanted to measure and analyze those reactions to understand how effectively the experience communicated its message of intergenerational warning.

The Solution

MoodMe's Emotion AI SDK was integrated into the installation, enabling real-time facial emotion detection as visitors watched the immersive CGI film. The SDK captures micro-expressions frame by frame — detecting fear, surprise, disgust, sadness, and contemplation — providing Alfavision with quantitative emotional data to validate the exhibit's impact.

CGI film still — symbolic marker environment with chalk drawings on concrete

Inside the Marker

Visitors enter a symbolic marker — a structure designed to warn future civilizations about buried nuclear waste. The immersive CGI film guides them through a disturbing environment that provokes reflection on memory, danger, and intergenerational communication. Meanwhile, MoodMe's Emotion AI silently records their emotional journey in real time.

7
Core emotions detected
Real-Time
Frame-by-frame analysis
2 Min
Immersive CGI experience
30 FPS
Emotion tracking rate

Technology Stack

MoodMe's Emotion AI SDK powered the real-time emotional analytics layer — from face detection to micro-expression classification and data export.

Emotion AI SDK
Real-time detection of 7 universal emotions: joy, sadness, anger, fear, surprise, disgust, and contempt
Face Detection
Robust face tracking in low-light museum environments with 68-point facial landmark detection
Analytics Pipeline
Frame-by-frame emotion data capture at 30 FPS, exported for post-experience behavioral analysis

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