Neural System

Campaign Reactions

RAC1 · Pre-testing of commercials, launches and brand activations

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About this solution

AI model trained to recognize facial expressions associated with emotions — happiness, sadness, fear, disgust, surprise, anger, contempt and neutral. It measures in real time how customers, students and audiences react to products, service, classes, storefronts and presentations.

  1. 1The YuNet detector locates the faces in each frame.
  2. 2The HSEmotion model (trained on the AffectNet dataset) classifies 8 emotions with probabilities.
  3. 3Readings are smoothed over time per person to avoid fluctuations.
  4. 4A satisfaction (valence) index summarizes the audience's mood minute by minute.

Benefits

  • Objective emotional feedback, without questionnaires.
  • Identifies the moments and products that generate the most delight (or frustration).
  • Complements NPS and surveys with continuous, anonymous data.
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