Technology

The worst part of all is that no one would think of the fact that a vending machine is performing facial recognition techniques, because in general it is assumed that a vending machine is a mechanical device, as it has been in the past. There is not any user benefit in that.

I researched the manufacuter and in their brochure (see page 6) of a similar vending machine it is revealed what data can be processed:

Among the worst data sets are:

• product demographics
• measuring of foot traffic
• gender/ age/ etc.

Bonus: on page 7 of the product brochure they introduce an app which allows the customer to make purchases directly from their smatphone, with features like

• consumer engagement through gamification, interactive marketing, gifting, scratch-and-win receipts, product sampling and cross selling

"What do customers get?"

• a fun and engaging payment process

Finally! I always thought that payment is not fun enough. What a time to be alive.

This is the best summary I could come up with:

A malfunctioning vending machine at a Canadian university has inadvertently revealed that a number of them have been using facial recognition technology in secret.

Invenda, the company that produces the machines, advertises its use of “demographic detection software”, which it says can determine gender and age of customers.

It claims the technology is compliant with GDPR, the European Union’s privacy standards, but it is unclear whether it meets Canadian equivalents.

In April, the national retailer Canadian Tire ran afoul of privacy laws in British Columbia after it used facial recognition technology without notifying customers.

The government’s privacy commissioner said that even if the stores had obtained permission, the company failed to show a reasonable purpose for collecting facial information.

The University of Waterloo pledged in a statement to remove the Invenda machines “as soon as possible”, and that in the interim, it had “asked that the software be disabled”.

The original article contains 258 words, the summary contains 149 words. Saved 42%. I'm a bot and I'm open source!