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Home Incidents

Vending Machine Secret Facial Recognition

February 28, 2024
Reading Time: 2 mins read
in Incidents

The University of Waterloo, based in Canada, faces a controversy as students discovered M&M-branded smart vending machines on campus were secretly collecting facial-recognition data without consent. The scandal began when a Reddit post revealed an error message indicating facial recognition software on the vending machines, prompting an investigation by a concerned student named River Stanley. The investigation uncovered promises from Invenda, the vending machine provider, to collect demographic data without user consent, reminiscent of past privacy violations in Canadian malls. Outraged students demanded the removal of facial recognition-enabled vending machines from campus, prompting the university to disable the software and plan for their removal.

Despite assurances from Adaria Vending Services and Invenda that the machines are GDPR-compliant and do not store personal images, concerns linger over the legality and ethical implications of their data collection methods. The technology purportedly identifies individuals anonymously based on facial analysis, yet questions remain regarding the stringent consent requirements under Canadian privacy laws. Invenda’s recent funding round, involving major clients like Mars and Coca-Cola, raises concerns about the expansion of surveillance opportunities without sufficient transparency or regard for privacy regulations.

University of Waterloo students like River Stanley question Invenda’s commitment to transparency, especially in light of the potential privacy violations and the lack of clarity surrounding data collection practices. The controversy underscores broader concerns about the unchecked proliferation of surveillance technology on university campuses and the need for robust privacy safeguards in the face of advancing technological capabilities.

Reference:
  • Vending machine error reveals secret face image database of college students
Tags: Biometricscyber incidentsCyber Incidents 2024CyberattacksCybersecurityEducationfacial recognitionFebruary 2024M&MUniversity of Waterloo
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