Amazon is Using Artificial Intelligence to Read Customer's Palms
Amazon One, the new contactless payment system from online retailer Amazon, allows users to fulfill payments using the palm of their hand. Utilizing infrared light, this system reads the unique lines, grooves, ridges, and veins of the palm to authenticate the user and allow access to a linked credit card or account.
Amazon One is being gradually implemented across various retail outlets, grocery stores (including Whole Foods), and entertainment venues. Notably, the card offers a variety of benefits, including verifying a customer's age, functioning as an entry system, or replacing a loyalty card.
Amazon One was also trained to recognize the differences between a live and fake palm, enhancing the overall reliability and security of the tool.
Image Credit: Worawee Meepian
Amazon One is being gradually implemented across various retail outlets, grocery stores (including Whole Foods), and entertainment venues. Notably, the card offers a variety of benefits, including verifying a customer's age, functioning as an entry system, or replacing a loyalty card.
Amazon One was also trained to recognize the differences between a live and fake palm, enhancing the overall reliability and security of the tool.
Image Credit: Worawee Meepian
Trend Themes
1. Infrared-enhanced Biometric Authentication - Utilizing infrared light, the system reads unique palm features for secure user authentication.
2. Multi-purpose Contactless Payment Systems - Offering benefits such as age verification and loyalty card replacement, enhancing user convenience and engagement.
3. Fake Detection Technology Advancements - Training AI to distinguish between real and fake palms for improved tool reliability and security.
Industry Implications
1. Retail - Implementing biometric authentication for seamless and secure contactless payments in brick-and-mortar locations.
2. Hospitality - Exploring the use of palm-reading technology for access control and personalized services in entertainment venues.
3. Technology - Advancing fake detection technology to enhance security measures in biometric authentication systems.
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