FaceVACS-VideoScan

identifies persons of interest in real time, while using anonymous facial analysis to generate people analytics

FaceVACS-VideoScan recognizes people’s faces in live video streams and video footage, compares them to image databases, and instantly finds known persons.

At the same time, the system performs anonymous facial analysis to count individuals, generate demographic statistics, track people flow in time and space, find frequent visitors and detect crowds.

Users can also import recorded videos files to find persons enrolled in image databases, or locate unknown persons in multiple videos.

The software works with a number of industry-leading HD video cameras, and our own face recognition camera (see below).

Technology made in Germany
Version 5.5.2 highlights
  • Investigations web interface
  • GPU ComputingNode enables partial offload of FIR encoding to compatible Nvidia GPUs on Ubuntu 18.04
Product presentations

Watch product presentations at recent trade shows:
Security Expo, Sydney, 2019

How to purchase our products

Contact the sales team via the contact form, or send an email with your contact details and application requirements.

  • stores video snippets for each appearance of a person
  • clusters and displays all appearances of each person
  • sends real-time notifications when user-defined events occur (e.g., Banned Person at Entrance West)
  • computes statistics about people flow, demographics and behavior
  • sends event notifications via email or Telegram instant messenger
  • supports enrollment from still image and live video stream

The Enterprise Solution

Software alone won’t produce optimal results. Camera choice and positioning, an ideal network infrastructure, configuration and deploying the system—all these components play an important part.Find out more about our all-installed, managed service with industry-leading biometric performance.

FaceVACS-VideoScan C5

Cognitec offers a highly specialized IP video camera with built-in face detection and tracking technology as a component of its FaceVACS-VideoScan product, therefore eliminating the need to identify and source suitable cameras.

The camera provides optimal image quality for real-time face recognition, even under challenging conditions, while requiring low computing hardware and bandwidth resources.