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Advanced AI Software powered by
computer vision and deep learning
for real-time face analysis

  • Analyze faces in images, videos, and real-life environments
  • Recognize faces and verify identities
  • Most affordable

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Who are we?

Sightcorp is an AI spin-off from the University of Amsterdam. We develop patented proprietary AI Software solutions. Through computer vision and deep learning, we can analyze faces in images, videos, and in real-life environments.

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What can you do with our AI Software?

Our advanced AI Software solutions empower industries like retail and digital signage with real-time actionable insights that help maximize ROI. Through computer vision and deep learning, our technology can analyze faces in images, videos, and in real-life environments.

Demographic Analysis

Measure your customers’ age and gender in real-world scenarios. Adjust ads and campaigns based on their profile.

Emotion Recognition

Understand how your customers feel. Detect and measure facial expressions like happiness, surprise, sadness, disgust, anger, and fear.

Attention Analysis

Understand what motivates your customers and what grabs their attention, by analyzing head movements, eye location and attention time.

Face Recognition

Identify people and verify faces. Use facial recognition software to build a strong customer identification program and become KYC compliant.

Mood Detection

Leverage customers’ mood behavior data to optimize experiences and campaigns. The mood detection can distinguish between neutral and happy mood.

Cross-platform

Build smart human and emotion-aware products and apps, using any of your favorite desktop and mobile environments.

Testimonial

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 easy-to-use CSV exports, which enables us to scale with ease.

─ S. Ahmedov, CEO OmniChannel

In the Media

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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.