Facial recognition technology is becoming increasingly popular in the gambling industry


Being able to identify undesired individuals and adding them to easily enforceable blacklists has always been an important element of the gambling industry, and now technology is making it even easier with the help of the latest-generation facial recognition biometric identification solutions.

According to industry sources, casinos and other hospitality businesses have tested facial recognition over the past few years, with inconsistent results. However, recent developments and improvements in the technology mean that facial recognition systems can now be used to identify blacklisted individuals, and biometrics can even be used in multi-factor systems for access control in casinos.

Quite obviously, this is a highly competitive and challenging market, especially given the fact that most gambling venues are very busy and the amounts of data facial recognition systems have to process is very high, but experts in the sector expert the use of data analytics, artificial intelligence and other advanced technologies to increase over the next years.

Tensor – suppliers and installers of high-end facial recognition systems

Tensor’s facial recognition solution is perfect for video surveillance and tracking, access control, and commercial marketing management.

The system can dynamically compare images of individuals from incoming video streams, of varying quality, against specific databases and send immediate alerts when positive matches occur. It also quickly manages real-time multi-recognition of faces in highly crowded environments.

The software has an amazingly high level of accuracy and is even able to analyse the 8K resolutions generated by the most high-end CCTV surveillance cameras. Its smart technology has in-built data analytics; detecting and estimating gender, age ranges and ethnicity – there will be more to follow later. The application is also able to conduct 35 million comparisons per second, making it the fastest system in the world.

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