Do you hate self-checkout? Get ready for change you never expected before

Someone checking bananas

Grace Carey / Getty Images

There are those who always do it, who do it sometimes, and who would never consider such an insulting experience.

More technically incorrect

No, I’m not talking about attending an Apple launch event. I’m talking about Choosing self-propulsion over the human kind.

He has become a highly emotive subject, and one that causes snarls among normally mild-mannered people.

Why, some supermarkets You are introducing barriers To prevent shoppers from leaving until self-checked receipts.

also: The first way AI is transforming grocery shopping

But who gets the receipt anyway?

See anything changing?

Naturally, I’m looking for solutions to the world’s problems, so I’m driven into a frenzy This statement: “SeeWare’s new Vynamic Smart Vision POS solution built on distributed machine learning simplifies the in-store checkout process for accurate, frictionless self-service transactions.”

Look at all these words. Aren’t you buzzing with an idea, um, a frictionless shopping life brought to you by intelligent vision and machine learning?

Please, allow me to translate a little bit. There is a big deal here. Well, it’s a big deal for everyone who gets really annoyed when they use self-checkout machines.

You see, this is the story of a company called SeeChange Technologies teaming up with Diebold Nixdorf—half of the name you might know—to create, please wait until fresh products are recognized.

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I take advantage of that because they do. Because they are so excited by the idea that soon a machine will be able to tell the difference between an apple and a banana. Something you managed well soon after you were born.

However, the good tech makers here understand that you can get annoyed when self-driving asks you to press the right button on the fruit you’re buying — wait, did you pick up an organic or some other kind?

To quote these two companies: “Using AI in SeeWare, and SeeChange’s edge-to-cloud AI platform, Diebold Nixdorf has enabled an integrated application of machine learning to recognize products, reducing friction at self-checkout to improve the buyer experience.”

do you see? Now you won’t have to do as much cashier work that the supermarket doesn’t pay you to do. Because supermarkets want you to be happy doing the cashier job that the supermarket doesn’t pay you to do.

Don’t love a little quick flex?

Hark at Matt Redwood, Vice President of Retail Technology Solutions at Diebold Nixdorf: “More and more retailers are looking for efficient solutions that reduce friction points, improve consumer experience and increase checkout efficiency. The difficulty comes when doing this while also keeping solutions open and flexible To anticipate future changes. SeeChange fully aligns with our solutions philosophy of modularity, openness and availability, an approach that enables flexibility and agility when innovating.”

Have you ever seen so many buzzwords in one quote? I mean, modularity, agility, availability, and flexibility all in the same sentence? That’s how smooth identification with fresh produce certainly is.

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I asked SeeChange which retailers might be inclined to enjoy this cool new technology. The company’s CEO, Jason Sologlou, told me: “The trials are expected to be completed by the first quarter and roll out within US retailers in the second quarter of this year.”

What about organic fitness?

Which leaves you with one more self-sealing problem: Will this new technology be able to tell the difference between the organic type and the non-organic one?

“When organic products are marked with labels or other physical differentiators, or if organic products are materially different from their inorganic variants, the system is trained to distinguish between organic and inorganic products,” Sologlu said.

Yes, but what if there is no physical difference?

Sologlu conceded that “if there is no physical differentiation where man cannot tell the difference, then obviously the system cannot differentiate.” “In this case, all variants of indistinguishable items are presented to the shopper to choose which one applies.”

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This is still an improvement over today’s sad ways, he insists: “This state still provides a good experience for the shopper by removing the ‘find the item’ process, and for the retailer it provides the opportunity to create targeted analytics on organic variables and even audit a selection of these cases in real time if they wish.”

You might be tempted to think now that this is modular and agile flexibility.

Me, I’m going to believe it when I see it. Or, alternatively, when someone talks to me about using the self-propelled feature at all.

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