A set of smart vending machines at the University of Waterloo is expected to be removed from campus after students raised privacy concerns about their software.
The machines have M&M artwork on them and sell chocolate and other candy. They are located throughout campus, including in the Modern Languages building and Hagey Hall.
Earlier this month, a student noticed an error message on one of the machines in the Modern Languages building. It appeared to indicate there was a problem with a facial recognition application.
“We wouldn’t have known if it weren’t for the application error. There’s no warning here,” said River Stanley, a fourth-year student, who investigated the machines for an article in the university publication, mathNEWS.
I feel like it’d be tough to find a chip powerful enough to capture demographic attributes while also cheap enough to ship in vending machines? But admittedly I’ve little context on embedded systems and their capabilities
While I have no idea how much a computerized vending machine costs, I found this article about a age/gender classifier that runs on a Raspberry Pi 4.
Looking at the machine’s big touchscreen, I think this classifier would fit on the SBC or require a relatively small upgrade.
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