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).
- B14 matching algorithm
- new face finder Cara-v3
- new algorithm for age estimation and underage detection (18 or 21)
- alerts for people wearing or not wearing a virus protection face mask
- Web interface for adding recorded media
- Web interface for statistics
Watch product presentations at recent trade shows:
Security Expo, Sydney, 2022
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 instant messenger
- supports enrollment from still image and live video stream
The Enterprise Solution
The Enterprise Solution offers customers all the advantages of a turnkey solution. Cognitec has selected optimal computing and camera equipment to guarantee industry-leading biometric performance. The subscription-based system can be installed at the customer’s premises, at the edge, or in the cloud.
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.
