Facial Action Coding System
(FACS)

Decoding human emotions through micro-expressions — in real time.
The Facial Action Coding System (FACS) is a scientifically validated framework that categorizes facial movements into distinct ‘Action Units’ (AUs). At TheLightbulb.ai, we leverage advanced computer vision and machine learning to automatically detect, interpret, and quantify these expressions — transforming facial data into meaningful emotional insights.

Top industries using facial coding

Trusted by 150+ CX Leaders

Key Highlights of Our
FACS Technology

  • Real-Time Facial Coding Our system decodes facial expressions in milliseconds, capturing micro-expressions and subtle emotional cues as they occur. This enables continuous emotional tracking during live sessions, videos, or user interactions — delivering dynamic behavioral insights in real time.
  • High Accuracy Across Demographics Trained on diverse global datasets, our algorithms are optimized to recognize emotional patterns across age groups, ethnicities, and genders. This ensures inclusive and bias-minimized emotion detection, suitable for multicultural audiences.
  • Multi-Angle Face Detection Leveraging advanced computer vision, our technology identifies and analyzes faces even in non-frontal poses or complex lighting conditions. It maintains robust performance across camera angles, ensuring reliable emotion mapping in real-world scenarios.
  • Integration-Ready API Our RESTful API architecture allows seamless integration with your existing platforms — from mobile apps and web dashboards to research tools and AI systems. Developers can easily embed real-time emotion analytics into their workflows with minimal setup.
  • Multimodal Emotion Analysis (Facial + Voice + Text) Beyond facial expressions, our FACS engine can be combined with speech tone and linguistic sentiment analysis to build a complete emotional profile. This multimodal approach deepens understanding of human behavior by correlating facial, vocal, and textual signals.
  • Privacy-First Design All facial data is processed in compliance with GDPR and global data protection norms. Our system uses on-device processing or secure cloud environments, ensuring anonymity and user consent at every stage.
  • Continuous Learning Powered by adaptive AI models, our FACS engine evolves with every interaction. It continually refines its accuracy through feedback loops, staying at the cutting edge of affective computing research.
  • Scalable Performance Whether analyzing a single user session or thousands of concurrent video streams, our cloud-based architecture ensures consistent, low-latency performance with enterprise-grade reliability.

What You Can Do with Facial Decoding

Increase facial decoding insights by 200% and reduce testing time
by 40% with AI- enhanced analysis.

Enhanced Performance Comparison

Compare versions with emotion and behavior data.

Why-Behind-the-Results

Understand the reasons for performance differences.

Micro-Interaction Testing

Test small changes and their emotional impact.

Audience Segment Analysis

See how different groups respond to variations.

Statistical Significance Plus

Traditional stats enhanced with behavioral confidence.

Continuous Optimisation

Ongoing testing with automated insight generation.

Related Use Cases

Live Website Testing

Landing Page Testing

Creative Testing

Banner Testing

Answers to help you get started

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The job tracker is available in all paid plans and offers advanced tracking features.

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