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Emotion Recognition

  • Analyze & identify emotions
  • Plug and play solutions
  • Most affordable

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Understand how your customers feel

Detect and measure facial expressions like happiness, surprise, sadness, disgust, anger, and fear with our emotion recognition.

Benefits of our Emotion Recognition Software

Learn more about customer experiences.
Create engaging and interactive in-store experiences to maximize customer satisfaction.

Emotion recognition is valuable in many industries, including:

face comparison

Market Research

liveness detection

Online Education


Online Membership

Digital Advertising

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Why Sightcorp Emotion Recognition software?

Sightcorp develops patented proprietary AI Software solutions. Through computer vision, deep learning and
machine learning, our technology can analyze faces in images, videos, and in real-life environments.

Simple to use
Simple to use

Easy to integrate
Easy to integrate

Plug & play



FaceMatch customizable building block
DeepSight Toolkit

FaceMatch API Beta


FaceMatch SDK BetaDeepSight SDK

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We are using and heavily promoting Sightcorp’s Toolkit because of its stability, accuracy and very easy installation and hardware configuration. The real-time aggregated data is immediately accessible through the reporting dashboard, which enables us to scale with ease.

─ S. Ahmedov, CEO OmniChannel


Emotion Recognition

What is emotion recognition?

Emotion recognition is the detection and analysis of emotional responses of detected faces. Our software can identify 7 basic emotions based on the position and movement of facial muscles. Each analysis produces a confidence score for different types of emotion: anger, disgust, fear, happiness, surprise, sadness, and neutral.

Why is emotion recognition important?

An estimation of emotional responses from your audience or customers is essential for optimizing and improving their experiences. The mood levels can be measured throughout the shopping process; before, during and after a purchase. This technology can also be used to measure the reactions of different people exposed to content such as when looking at digital screens.

Which emotions can you analyze?

Our software can identify 7 basic emotions: anger, disgust, fear, happiness, surprise, sadness, and neutral state.



How accurate is your emotion recognition?

Our software can detect different facial expressions with 75% accuracy. The overall mood can be estimated with accuracy up to 92%.

How can you use Emotion Recognition?

Emotion Recognition has many use cases:

  • Market research: study facial expressions in qualitative testing
  • Digital advertising: measure the emotional response of customers towards your advertising content
  • Online education: improve content based on the emotional response of students

Trusted by Leading Companies

Ready to get started with our emotion recognition technology?

Test it free for 2 weeks on your favorite desktop platform

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Technical Specifications

The table below shows how FaceMatch SDK performs on the Labelled Faces in the Wild (LFW) dataset:

FPRTPRThreshold (Inverse of distance)
0.10.99900 ±0.002130.55448
0.010.99667 ±0.005370.59791
0.0010.99367 ±0.006050.62989

FPR = False Positive Rate
TPR = True Positive Rate

These results are an indication only and are based on the specific dataset Labelled Faces in the Wild. Customers can expect similar performance, with possible variations due to hardware and the availability of annotated data.