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Case Studies


Search for scammers and other unwanted individuals by blacklisting using the face recognition module in the Las Vegas casinos

About Omnigo

Omnigo (Canada) offers the world's leading software solutions for public safety, incident reporting and security management.

"Unwanted Visitor" is one of the solutions that provides face recognition from the casino's blacklist and is installed in 350 casinos, including most casinos in Las Vegas.


Problem Statement

The company was looking for opportunities to improve recognition accuracy rates and reduce false positives in order to increase the efficiency of the "Unwanted Visitor" service. At the time of contacting 3DiVi, the Company used the other vendor's face recognition algorithm.


In early 2018, Omnigo Vice President began testing alternative face recognition algorithms, including 3DiVi.

March 8, 2018

Omnigo Vice President started testing of 3DiVi algorithm on a database of 4,000 people and 700,000 test images. The preliminary results were encouraging and the client decided to move to the pilot stage on real data by integrating face recognition SDK into the security system of one of their Casino clients.

July 5, 2018

Client has completed testing of 3DiVi algorithm with one of Omnigo largest customers. After testing on 1,05 million images of people entering two casino's over a two week period they compared the results with their previous vendor:

3DiVi Results (algorithm v7.3)
    • 221 people recognized from a hotlist of 21,476 people
    • 1,831 alerts were rejected
    Previous vendor results
    • 25 people recognized from a hotlist of 21,476 people
    • 6,255 alerts were rejected
    It turned out that in a two week test period with real patrons on a hotlist, 3DiVi algorithm found approx. 8 times as many people with 70% less false alarms.

    November, 2018

    The first phase of the live pilot has been completed successfully so the deployment of 3DiVi solution has been planned for the end of January, 2019.

    Before the deployment, the client did software testing on two pilot servers.

    January, 2019

    3DiVi Face Recognition SDK was successfully deployed in a live system.
    I have concluded 3DiVi Face SDK testing with one of our biggest customers and I am happy to say that the results are really good. Recognition works 6 times better compared to the solution of another vendor that we used earlier.
    Soren Frederiksen, Omnigo Vice President

    Products used