Omnigo Outfits Macau Casinos with Incident Reporting System

Biometrics News - Omnigo Outfits Macau Casinos with Incident Reporting System

Omnigo has revealed that its iTrak Incident Reporting platform has become a major component of the security infrastructure in Macau. The software solution has now been deployed by all six of the city’s primary casino operators.

iTrak provides casinos with face-based surveillance tech that makes it easer to track persons of interest and respond to potential security incidents in real time. Once a person of interest has been identified (for positive or negative reasons), the software also makes it easier to distribute that information to other casinos to improve loss prevention and reduce the collective amount of risk carried by those establishments.     

“Casinos can draw from a shared database of banned patrons, advantaged players, and VIP guests from Day One of implementation,” said Omnigo CRO Mark Kornegay. “Sharing data across properties enhances security and surveillance for everyone by allowing casino operators to exchange critical information with each other and with law enforcement.”

Omnigo already provides security software for every casino on the Las Vegas strip and 65 percent of the casinos in Canada. The iTrak platform offers features like Visitor Management Lost and Found in addition to its facial recognition capabilities.

Macau, meanwhile, has displayed a longstanding interest in the security benefits of facial recognition. Government officials announced plans for a biometric border control system back in December of 2015, while the casinos themselves started leveraging facial recognition for a variety of purposes shortly thereafter. For instance, Melco Crown Entertainment was using Cognitec’s FaceVACS solution to identify banned players by the following February.

The city has continued to invest in facial recognition technology in the intervening years. Biometric ATMs were deployed in an effort to reduce money laundering from mainland China, and Macau police are now conducting a face and object recognition test that utilizes the city’s extensive (and expanding) network of surveillance cameras.

December 11, 2019 – by Eric Weiss