Imagine a shop in which you can enter, take whatever you want, and exit without passing by a box. Yes, in fact all the shops are this way, but if leaving without paying someone would try to rincorrervi and placcarvi. The inside-out without pulling out the wallet (but still paying) is exactly what Amazon has made in Seattle with a point of sale by about 170 square meters, which could prove to be both an interesting novelty in the field of commerce, is a dazzling display of technology.
The system is as simple as it should be: to enter the shop, which is called the Amazon Go, it is necessary to scan at the entrance to a QR code that appears on their smartphone thanks to an app; then, you could put in your basket what you want and go to the exit.
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As I said: no crates, no files, no scanning of bar codes. Outputs and just. The payment will be automatic, with the amount of the expense deducted from your account Amazon. To the more careful among you will not be missed a detail: how does Amazon know what I have purchased? And it is here that comes into play, the density of technology of which we spoke before.
The system developed by the engineers of the company of Seattle has been nicknamed, in fact, “Technology Outputs and just’ ” (“Just Walk Out”), which is defined similar to the one that allows the car to guide the standalone is not going to crash.
it Is a combination of sensors and computer vision which, thanks to the machine learning (or, to be more precise, in-depth learning, or “deep learning”) allows the system to understand what you have taken from the shelves and put in the trash. the In the video released by Amazon, the procedure is obviously super-efficient, with no space for errors. It will be interesting to see what will happen in terms of actual usage at the beginning of 2017, when the store will open its doors to all (at the moment it is reserved to the clients of Amazon).
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it Is therefore one of the wonders of artificial intelligence, an area in which Amazon is focusing a lot like Google and Microsoft, in which the company of Jeff Bezos has shown all the intentions dis commetterci. According to a report in the Wall Street Journal, Amazon has plans to open in the future, at least 2,000 of these stores in the USA. Shops without speakers, but even without cashiers, maybe the next category to be swallowed up by the “disruption” of technology.
the commitment of The Seattle based company in the field of artificial intelligence has recently focused on three projects that are particularly interesting, as presented to the conference AWS re:Invent, dedicated to the Amazon Web Services: Lex, Polly and Rekognition. There are three features that will enable developers to take advantage of the AI and deep learning in the development of their applications, being able in this way to interact better with users.
Lex is the advanced machine learning technology behind the voice assistant Amazon Alexa: the two main elements that characterize the capabilities of the automatic recognition of speech and natural language understanding. In other words, the Lex allows developers to build more easily bots, and voice chat that can interact in a way that the less “mechanical” as possible with users in their applications. In fact, the artificial intelligence technology behind Alexa has now been made available to developers.
As specified by Amazon, the Amazon services Lex will be free up to 10,000 text requests and 5,000 requests voice per month, then the cost will be $ 4 (3,71€) for every 1,000 voice prompts and 0.75 dollars (0,7 euro) for every 1,000 text requests.
Polly is a service for text-to-speech, i.e. speech synthesis, in which artificial intelligence has the aim of making more “realistic” pronunciation. For example, if a text in English, there are words in French, developers can use the Speech Synthesis Markup Language (SSML) to explain to Polly what is the correct pronunciation.
Also, thanks to this feature you can do it in a way that words omografe, i.e. written in the same way, they are, however, pronounced in a different way: it will be the context to tell Polly that they are two different terms. “For example, consider the different pronunciations of the word live in a sentence I live in Seattle and Live from New York,” said Andy Jassy, CEO of AWS. The service can be used for a wide range of purposes, such as, for example, the e-book readers, personal assistants or e-learning platforms.
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Finally, Rekognition is an artificial intelligence system for the analysis of images, which can then be used for recognition of faces, objects and landscapes in a photo. Thanks to the IA is assigned a “confidence score” for each identification, i.e. how likely the item identified is actually been recognised in the correct way.
The possibilities offered by the Rekognition include recognize if a person in an image, have the mouth open or closed, if has the beard, if he’s smiling, if you wear glasses: it is a functionality that goes far beyond the “normal” facial recognition systems. The potential applications are so numerous, and range from uses more “conventional” as the automatic indexing of large image galleries, up to the use in security services.
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