University of Waterloo to Remove Smart Vending Machines Due to Concerns Over Facial Recognition Technology

University of Waterloo to Remove Smart Vending Machines Due to Concerns Over Facial Recognition Technology

In a move that underscores the growing concerns over privacy and surveillance, the University of Waterloo is set to remove smart vending machines from its campus. This decision comes after a student’s discovery suggested that these machines used facial recognition technology, sparking a debate about data privacy and consent on college campuses.

The story began to unfold when a Reddit user, shared a photo showing an error message on an M&M-brand vending machine that read, “Invenda.Vending.FacialRecognition.App.exe — Application error.” This error message hinted at the use of facial recognition software, which was not previously disclosed to the users of the vending machines. The post quickly gained traction and led to further investigation by a curious student, who writes for the local student publication MathNews.

Facial Recognition” by mikemacmarketing is licensed under CC BY 2.0

Stanley’s digging revealed that the vending machines were provided by Adaria Vending Services and manufactured by Invenda Group. Mars, the owner of M&M’s, was reported by CTV News to own the vending machines. In response to the concerns raised, the director of technology services for Adaria Vending Services assured that the technology was not capable of identifying individuals. “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 director stated. The technology was described as a motion sensor to activate the purchasing interface, without capturing or storing images of customers.

Despite these assurances, the university has decided to take action.A representative for the University of Waterloo, confirmed to CTV News that the school has requested the removal of the machines and the disabling of the software in the interim. This decision reflects a growing unease with facial recognition technology, which has been a source of tension on college campuses around the world.

The use of facial recognition technology in educational settings has been controversial. For instance, a school in China implemented a system that scanned students’ faces every 30 seconds, and a woman on TikTok claimed she failed a test after being wrongfully accused of cheating by a test-proctoring AI system. In the United States, students at dozens of universities protested against the use of facial recognition on their campuses.

The incident at the University of Waterloo serves as a reminder of the delicate balance between technological advancement and the protection of individual privacy. As we continue to integrate smart technologies into our daily lives, it is imperative that transparency and consent are prioritized to maintain trust and safeguard personal freedoms. The removal of these vending machines is a step towards ensuring that students feel secure in their educational environment, free from unwarranted surveillance.

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