G2E Asia panel sees gait recognition an emerging biometric security tool

The session was a component of the “Roadmap to Growth” series
Categories Biometrics News  |  Surveillance
G2E Asia panel sees gait recognition an emerging biometric security tool

Experts at the Global Gaming Expo (G2E) Asia Online Conference 2020 discussed biometric gait analysis as an emerging security tool, ggrasia reports.

The topic, examined during a “Safety and Security” panel, was part of a broader discussion about how the casino sector could return to growth after the disruption caused by the COVID-19 pandemic.

Since all players have to wear masks for safety reasons, other tools than facial recognition are now needed to make sure players entering a casino are allowed to do so.

Biometric gait recognition would be one of them, according to panelist Chris Chan, head of cybersecurity research at UDomain.

The G2E session also analyzed how casino operators could use the biometric technology they already possess to advance safety and security on their gaming floors, while also saving funds.

In that regard, Dave Dalleske, vice president sales for Asia Pacific at Synectics clarified that video surveillance equipment is already being used by casinos to track individuals based on the color of their clothing, for example.

The conversation then veered towards the management of secure access for entry keys and other casino-resort equipment.

In fact, Martin Woodhouse, head of Asia Pacific, Middle East, and Africa for Traka / Assa Abloy mentioned how using his firm’s browser-based management software these processes could become faster and less time-consuming.

Facial recognition technology was also discussed by the G2E panel, to be utilized in such a way to recognize individuals based on biometric data points gathered by the unmasked, upper portion of their faces.

The panel mentioned China’s SenseTime as one of the companies working towards this goal, as well as the use of thermal-recognition cameras in surveillance equipment.

Gait analysis can also be used for emotion recognition, according to researchers.

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