Emotion Vision
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Face Analytics · AI

Emotion Vision

Facial expression recognition across 7 emotions. Achieves 71.55% accuracy on standardized benchmarks. Available via REST API for customer sentiment, UX research, driver monitoring, and engagement analytics.

71.55%Accuracy
7 classesEmotions
224×224Input
35K+ imagesDataset
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API Access

Integrate via REST API.

Upload a facial image and receive emotion classification with confidence scores. Supports Happy, Sad, Angry, Surprise, Fear, Disgust, and Neutral. Best results with clear, front-facing faces.

Sample response:

{
  "emotion": "Happy",
  "confidence": 0.85,
  "all_scores": { "Happy": 0.85, "Neutral": 0.08, ... }
}

Supported emotions:

Happy · Sad · Angry · Surprise · Fear · Disgust · Neutral

  • 7 emotion classes with confidence scores
  • Full probability distribution per image
  • Optimized for clear, front-facing faces
  • Batch processing for high-volume workflows
  • Supports JPEG, PNG, file paths, and URLs

Validated Performance

Trained on 35,000+ facial images. Strongest performance on Happy (~86%), Surprise (~84%), and Neutral (~83%). Best with well-lit, centered faces.

71.55%Accuracy
7 classesEmotions
224×224Input
35K+ imagesDataset

Consider confidence thresholds for critical use cases. Use clear, front-facing images for optimal results.

Commercial Use Cases

Built for real workflows.

Customer sentiment analysis

Gauge customer emotion in retail, banking, and service interactions. Identify frustrated or dissatisfied customers for real-time escalation.

Call center & support quality

Analyze agent-customer video calls. Track emotional progression. Improve training and QA for support teams.

UX research & A/B testing

Measure emotional response to designs, layouts, and prototypes. Quantify user engagement and delight.

Driver monitoring & fatigue detection

Detect drowsiness, stress, or distraction from facial expressions. Support ADAS and fleet safety systems.

E-learning & education

Detect student engagement, confusion, or boredom. Adapt content delivery. Measure effectiveness of courses.

Advertising & marketing

Measure emotional response to ads and campaigns. A/B test creatives. Optimize for joy, surprise, or trust.

Gaming & player engagement

Understand player reactions during gameplay. Improve game design. Measure excitement, frustration, or surprise.

Virtual meetings & webinars

Engagement analytics for remote sessions. Identify attentive vs. disengaged participants. Improve presenter feedback.

Mental health & wellness apps

Mood tracking from selfies. Support meditation and therapy apps. Non-invasive emotional check-ins.

Healthcare & pain assessment

Supplement pain scales with facial expression analysis. Support clinical trials and patient monitoring.

Content moderation & safety

Flag distressed or harmful content. Support community safety. Identify concerning expressions in UGC.

HR & employee wellbeing

Anonymous engagement surveys with emotion feedback. Support burnout prevention. Pulse checks.

Why it matters

Emotion at scale.

Real-time capable

Fast inference for live video streams, webcams, and interactive applications. Batch processing for recorded content.

Privacy-aware

Process images without storing faces. Deploy on-premises or in your cloud. Integrate with existing privacy policies.

Confidence scores

Full probability distribution for each prediction. Set thresholds for escalation and human review. Integrate with workflows.

Get started

Interested in access?

Get API access or discuss deployment. We work with brands, researchers, call centers, and platforms. Technical specs and SLA options available upon request.

Request API Access