Researchers design AI system for social distance breach detection

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Griffith University researchers have developed an AI video surveillance system to detect social distancing breaches in an airport without compromising privacy. By keeping image processing gated to a local network of cameras, the team bypassed the traditional need to store sensitive data on a central system. Professor Dian Tjondronegoro from Griffith Business School says data privacy is one of the biggest concerns with this technology because the system has to constantly observe people's activities to be effective. "These adjustments are added to the central decision-making model to improve accuracy." Published in Information, Technology & People, the case study was completed at Gold Coast Airport which, pre-COVID-19 had 6.5 million passengers annually with 17,000 passengers on-site daily.

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