“Stupid M&M machines” — Vending machine error reveals secret face image database of college students Facial-recognition data is typically used to prompt more vending machine sales.
Ashley Belanger – Feb 23, 2024 10:02 pm UTC EnlargeAurich Lawson | Mars | Getty Images reader comments 279
Canada-based University of Waterloo is racing to remove M&M-branded smart vending machines from campus after outraged students discovered the machines were covertly collecting facial-recognition data without their consent.
The scandal started when a student using the alias SquidKid47 posted an image on Reddit showing a campus vending machine error message, “Invenda.Vending.FacialRecognitionApp.exe,” displayed after the machine failed to launch a facial recognition application that nobody expected to be part of the process of using a vending machine. Enlarge / Reddit post shows error message displayed on a University of Waterloo vending machine (cropped and lightly edited for clarity).SquidKid47 on Reddit
“Hey, so why do the stupid M&M machines have facial recognition?” SquidKid47 pondered.
The Reddit post sparked an investigation from a fourth-year student named River Stanley, who was writing for a university publication called MathNEWS.
Stanley sounded alarm after consulting Invenda sales brochures that promised “the machines are capable of sending estimated ages and genders” of every person who used the machines without ever requesting consent.
This frustrated Stanley, who discovered that Canada’s privacy commissioner had years ago investigated a shopping mall operator called Cadillac Fairview after discovering some of the malls’ informational kiosks were secretly “using facial recognition software on unsuspecting patrons.”
Only because of that official investigation did Canadians learn that “over 5 million nonconsenting Canadians” were scanned into Cadillac Fairview’s database, Stanley reported. Where Cadillac Fairview was ultimately forced to delete the entire database, Stanley wrote that consequences for collecting similarly sensitive facial recognition data without consent for Invenda clients like Mars remain unclear. Advertisement
Stanley’s report ended with a call for students to demand that the university “bar facial recognition vending machines from campus.”
A University of Waterloo spokesperson, Rebecca Elming, eventually responded, confirming to CTV News that the school had asked to disable the vending machine software until the machines could be removed.
Students told CTV News that their confidence in the university’s administration was shaken by the controversy. Some students claimed on Reddit that they attempted to cover the vending machine cameras while waiting for the school to respond, using gum or Post-it notes. One student pondered whether “there are other places this technology could be being used” on campus.
Elming was not able to confirm the exact timeline for when machines would be removed other than telling Ars it would happen “as soon as possible.” She told Ars she is “not aware of any similar technology in use on campus.” And for any casual snackers on campus wondering, when, if ever, students could expect the vending machines to be replaced with snack dispensers not equipped with surveillance cameras, Elming confirmed that “the plan is to replace them.” Invenda claims machines are GDPR-compliant
MathNEWS’ investigation tracked down responses from companies responsible for smart vending machines on the University of Waterloo’s campus.
Adaria Vending Services told MathNEWS that “whats most important to understand is that the machines do not take or store any photos or images, and an individual person cannot be identified using the technology in the machines. The technology acts as a motion sensor that detects faces, so the machine knows when to activate the purchasing interfacenever taking or storing images of customers.” Advertisement
According to Adaria and Invenda, students shouldn’t worry about data privacy because the vending machines are “fully compliant” with the world’s toughest data privacy law, the European Union’s General Data Protection Regulation (GDPR).
“These machines are fully GDPR compliant and are in use in many facilities across North America,” Adaria’s statement said. “At the University of Waterloo, Adaria manages last mile fulfillment serviceswe handle restocking and logistics for the snack vending machines. Adaria does not collect any data about its users and does not have any access to identify users of these M&M vending machines.”
Under the GDPR, face image data is considered among the most sensitive data that can be collected, typically requiring explicit consent to collect, so it’s unclear how the machines may meet that high bar based on the Canadian students’ experiences.
According to a press release from Invenda, the maker of M&M candies, Mars, was a key part of Invenda’s expansion into North America. It was only after closing a $7 million funding round, including deals with Mars and other major clients like Coca-Cola, that Invenda could push for expansive global growth that seemingly vastly expands its smart vending machines’ data collection and surveillance opportunities.
“The funding round indicates confidence among Invendas core investors in both Invendas corporate culture, with its commitment to transparency, and the drive to expand global growth,” Invenda’s press release said.
But University of Waterloo students like Stanley now question Invenda’s “commitment to transparency” in North American markets, especially since the company is seemingly openly violating Canadian privacy law, Stanley told CTV News.
On Reddit, while some students joked that SquidKid47’s face “crashed” the machine, others asked if “any pre-law students wanna start up a class-action lawsuit?” One commenter summed up students’ frustration by typing in all caps, “I HATE THESE MACHINES!I HATE THESE MACHINES!I HATE THESE MACHINES!” reader comments 279 Ashley Belanger Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience. Advertisement Channel Ars Technica ← Previous story Next story → Related Stories Today on Ars
