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Face Tracking Technology

  • Detect and analyse multiple faces
  • Spot audience behavior trends
  • Real-time analytics

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Use our Face Tracking Software to make Customer Experience More Engaging

Benefit from accurate and real-time insights into your audience’s spontaneous behavior, interests, and demographic profile with Face Tracking.

Looking for Plug & Play?

  • Get started quick and easy
  • No need for hard coding
  • Real-Time Analysis
  • Interactive interface
  • Connection to Toolkit Visualizer

Want to build your own Solution?

  • C++ expertise needed
  • Works offline (one-time internet connection)
  • Windows, OS X, Linux, iOS, Android supported
  • Processor: Intel i5 3.5 GHz recommended

Dashboards

  • Audience Analytics Solution
  • Ready Reports & connected to the Toolkit
  • Plug & Play Solution
  • No need to program
  • Easy to use

 Make smarter data-driven decisions with our Face Tracking Technology.

Turn audience insights into actions by leveraging the power of audience behavior metrics.

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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 the reporting dashboard, which enables us to scale with ease.

─ S. Ahmedov, CEO OmniChannel

 

About Face Tracking

Face Tracking is a computer vision technology that detects and locates the presence of a human face in a digital image or video. The technology is anonymous and only discerns a human face by focusing on facial features, providing information about a person’s gender and age bracket. There is no attempt made by the technology to obtain a positive identification of the person in the footage or image.
Face Tracking is important, especially for retailers and advertising agencies, because it can be used as an audience measurement tool. It can help answer questions such as, “How many people saw my advertisement?” and “What are their ages and gender?”. This information can, in turn, be used to optimize marketing efforts for better performance.

What are the uses of Face Tracking?

In retail, Face Tracking can be used to measure customer traffic, age, and gender. For advertisers using digital signage, it can be used to collect information about the number of viewers, their gender, age group and even attention time. Insights gathered through Face Tracking technology helps businesses to find the best locations for displays, custom-tailor content in real-time and understand audience engagement levels.
Face Tracking generally works by comparing selected facial features from an image with faces stored in a database. The geometric method uses algorithms set to identify the size, shape, and relative position of the eyes, nose, cheekbones, and jaw. Another approach is photometric facial tracking where each image has a value dependent on its features. This value allows images to be compared with stored templates.

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Ready to get started with our Face Tracking 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.