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Crowdsight (SDK)

  • Integrate with your own solution
  • Real-time results
  • Cross-platform

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Understand and Predict your Audience with the Software Development Kit

Industry Matches: Retail, Digital Signage

CrowdSight SDK

The CrowdSight SDK enables tracking of multiple people at the same time. This technology can be used to analyze the demographic profiles of your shopping audience and converted customers. The analysis includes information about the shopping experiences of your audience.


  • Face Detection and Face Tracking
  • Emotion Recognition
  • Age Estimation
  • Gender Estimation
  • Head Position/Head Gaze
  • Attention Time


  • C++ expertise needed
  • Windows, OS X, Linux, iOS, Android supported
  • Processors: Intel i5 3.5 GHz recommended
  • RAM: 2 Gb min (Android), all other 4 Gb min
  • Camera: 1280×720 (recommended) and Optical zoom for long-distance tracking

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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


CrowdSight Software Development Kit (SDK)

What is CrowdSight SDK?

The CrowdSight Software Development Kit is a cross-platform software library for automated semantic analysis of people in video and images. CrowdSight SDK can be used to automatically analyze faces in real time via a simple webcam, and communicate the resulting information to the third-party application. CrowdSight SDK can estimate the eye locations, head pose (jaw and pitch), mood, age, gender, six general facial expressions, and attention span of the subjects. The SDK can be easily integrated into third-party software as a collection of C++ libraries for Windows, Mac, and Linux platforms.

All features

Track customers passing by and retrieve information on their attention span or emotions. Retrieve six facial expressions of multiple people simultaneously, like happiness, sadness, disgust, surprise, fear, and anger. You will be able to know which gender group your audience belongs to and to accurately estimate their age category. Process webcam streams in real-time, which will enable you to dynamically target the content according to your audience likings and behavior. Retrieve real-time facial information of your audiences, using your favorite platform: Windows, Mac, Linux, iOS, Android.

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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.