To help make your visit as informative and user-friendly as possible, we normally use cookies on this website. These do not store personally identifiable information nor can they harm your computer. Without cookies, you'll still be able to visit most of the website but unfortunately some content may be inoperative. Our use of cookies is explained more fully in the link below.

Do you accept our use of cookies?

View Privacy & Cookie Policy

You have opted to decline cookies. To reconsider refer to our Cookie Policy. To reverse your decision click the Reverse Cookies button

You have opted to allow cookies on your computer. You can reverse your decision; some content will then be inoperative.

  • home.jpg

Best rating in NIST vendor test

Published report compares algorithms for automated age estimation

April 7, 2014

Test results on the performance of automated age estimation algorithms, published by the National Institute of Standards and Technology (NIST), confirmed Cognitec Systems’ leading position in the face recognition market. 

The test compared nine algorithms submitted by six participants, five companies and one university, and applied them to seven million images. Results show that Cognitec’s algorithm performs with the highest accuracy for all age groups. Most notably, the algorithm shows superior performance “in the youth and senior age groups, leading the next most accurate algorithm in 5-year accuracy by 30% and 16%, respectively,” according to the report.

Age estimation via face recognition technology has gained importance in recent years, with a growing variety of commercial and government applications. The NIST report lists various examples for such applications, e.g. age-based access control and verification, age estimation in crime and mass disaster investigation, age-adaptive targeted marketing, age-invariant person identification, and age-based indexing of face images.

Cognitec’s product FaceVACS-VideoScan uses age estimation to determine the age ranges of persons seen in video streams and footage. The technology computes age statistics over time, providing businesses with anonymous visitor data to make interior design, advertising placement, staffing and other operational decisions that enhance customer experience.

Since FaceVACS-VideoScan can analyze a face for age and gender as people approach a camera, it can trigger the display of a targeted message on a digital sign or other advertising and message devices.

Note: Results from the Face Recognition Vendor Test 2012 do not constitute endorsement of any particular product by the U.S. Government. The complete report can be downloaded at:

All site content © 2019 3rdForensic Limited. All rights reserved.
Back to Top