Griffith University researchers have developed an AI 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 said, “With our system, the central machine only needs to periodically call on local nodes to send updates they've made to their decision making models without needing to see the images they've captured.”
This study showed responsible AI design can be useful for future developments of this application of technology.