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Amazon One app introduces palm recognition for customers

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  • 2 min read

Amazon’s new Amazon One app allows customers to sign up for the service by capturing a photo of their palm, eliminating the need for physical visits to enrollment locations.

The app is available for download from the Apple App Store or Google Play Store. Previously, customers had to visit a physical location and hover their palm over an Amazon One device to sign up. The new Amazon One app has streamlined this process, enabling users to sign up from anywhere.

One of the primary benefits that the company wants to pass on to its customers is reducing the signup time for first-time users during checkout. Customers can create an online profile within the app to add their palm image, payment method, and other details.

Moreover, users can utilise their palms for age verification, loyalty rewards, and more at over 500 Whole Foods Market stores in the United States, Amazon stores, and several third-party locations such as stadiums, airports, fitness centres, and convenience stores.

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Source: Amazon One

The technology behind Amazon One is powered by AI innovations, including generative AI for creating synthetic palm images and machine learning models for accurate identity matching. The app’s AI system compares palm and vein imagery from the Amazon One device with the user’s camera phone photo to ensure secure enrollment and identity verification.

“When a customer who signed up for Amazon One via the app hovers their palm over an Amazon One device for the first time, our AI system is able to compare and match the palm and vein imagery captured by the Amazon One device with their camera phone photo, and enrollment is considered complete only at this time,” the company said.

Some critics have privacy concerns, including the safety of data stored with the company and how it will use the data. However, to address these privacy and security concerns, Amazon encrypts palm images captured via the app and stores them securely in the AWS cloud.

These images cannot be downloaded or saved to the user’s phone, and the app also has several spoof detection technologies.

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Kumar Hemant

Kumar Hemant

Deputy Editor at Candid.Technology. Hemant writes at the intersection of tech and culture and has a keen interest in science, social issues and international relations. You can contact him here: kumarhemant@pm.me

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