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Amazon Go - Wikipedia
Technology and implementation
Amazon uses several technologies to automate Go stores, including computer vision, deep learning algorithms, and sensor fusion for the purchase, checkout, and payment steps associated with a retail transaction. The store concept is seen as a revolutionary model that relies on the prevalence of smartphones and geofencing technology to streamline the customer experience, as well as supply chain and inventory management. However, public rollout of the Seattle Amazon Go prototype location was delayed due to issues with the sensors' ability to track multiple users or objects within the store, such as when children move items to other shelves or when multiple customers have a similar body habitus.The Amazon Go app for iOS and Android links to their Amazon account and is the primary method of paying for items at the store, alongside cash at certain locations. The app is required to enter the store, which has turnstiles that scan a QR code generated on the app. The app allows users to add others to their Amazon account, so a family's purchases can be charged to the same bill. The ceiling of the store has multiple cameras and store shelves have weight sensors, to detect which item(s) a customer took. If a customer takes an item off the shelf, it will be added to the customer's virtual cart. Similarly, if a customer places an item back on the shelf, it is removed from the customer's virtual cart.
How it works
Amazon One: Pay with the palm of your hand
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