Facial recognition and video analytics
for Mass Events and Stadiums

When a person from the watchlist is recognized by face at one of the connected cameras, the video analytics system automatically sends a notification that can be redirected to the security post or the nearest employee. Even in a dense crowd of hundreds of people, the system recognizes wanted persons, violators with a ban on attending matches and other unwanted guests and helps to prevent them from entering an event or competition.

With the silhouette recognition algorithm, the video analytics system accurately counts people in preset areas in the field of view of the cameras, and their attributes — gender and age, clothing type and color, presence of bags, etc. This will help you evaluate event attendance, get reliable information about visitors and use this data to improve the quality of events.

The high accuracy of employee identification by face eliminates possible methods of fraud with cards and similar identifiers. NtechLab solutions allow you to manage employee access and additionally control attendance using facial biometrics.

Analysis of video streams from cameras allows you to quickly use the already processed video data to investigate and prevent offenses at the mass event facility. Once the face of offender has been recognized, he or she will be instantly detected when they appear in front of any connected camera. Thus, you can fully track the chronology of events and quickly investigate incidents.