Advanced Human Face Video Collection & Processing

This feature collects and organizes human face video data into structured, actionable insights quickly and efficiently using scalable tools.

Compiling Video Data of Human Faces in a Structured Format

Targeted identification and collection of human face video data will entail identifying the elements of a human face in conjunction with the collection of the human face video data. This may consist of human facial expression, eye/head tilt, facial movement path patterns, and/or metadata dimensions to aid in the targeted collection and structuring of human face video data for facial recognition application processes, Artificial Intelligence (AI) based perspectives, and actionable intelligence.

Compiling Video Data of Human Faces in a Structured Format
This can be conducted as a manual process, or at large scale automated human face video data collection using the technology provided by Computer Vision (CV), and other advanced video analytics technology to increase the speed, accuracy, and reliability of the process.

When human facial video data is collected, it is sometimes stored in and part of a video database or cloud interface of your research lab or enterprise application, as a monitor, analysed, and used to derive actionable intelligence insights for facial recognition, research, AI-based workflows, and forensic investigations.

StatsWorks organizes and compiles human facial video data to operate with Computer Vision and AI-based facial recognition systems to ensure that enterprise, research labs, security systems, and AI-based technologies that rely on it’s data can produce accurate and valuable intelligence data based actionable insights.

Core Features
Human face video data collection designed to integrate seamlessly into your enterprise, research, and AI ecosystems.
How it Works

Share video recordings of faces to capture and structure important facial data.

  • Formats supported: MP4, MOV, and AVI
  • Data output in JSON format: Facial features, expressions, movement, and context
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Share your recordings for new facial data insights in real-time.