Amazon Using AI, RFID for Retail Checkout
Amazon is enhancing its frictionless checkout system, Just Walk Out, by integrating artificial intelligence (AI) and RFID technology.
Amazon officials have introduced a new version that leverages AI to provide faster receipts for customers, more accurate tracking of shopper choices, and reduced costs for business owners using the system.
Launched eight years ago, Just Walk Out employs a network of cameras, sensors, and machine learning algorithms to monitor what shoppers intend to purchase. Although the technology was recently removed from Amazon Fresh grocery stores, it continues to be utilized in stadiums, airports, and other businesses.
Previous versions of Just Walk Out relied on multiple AI models that communicated with each other to determine if a shopper picked up a product, if the product image matched the AI’s expectations, and how many items were taken. The new model consolidates these functions into a single system, enabling faster and more accurate decision-making, according to Jon Jenkins, vice president of Amazon’s Just Walk Out team.
The updated model simultaneously processes inputs from various sources, including videos of shoppers, product images, a 3D store map indicating item locations, and shelf sensors that measure weight changes when items are picked up.
Amazon officials have introduced a new version that leverages AI to provide faster receipts for customers, more accurate tracking of shopper choices, and reduced costs for business owners using the system.
Launched eight years ago, Just Walk Out employs a network of cameras, sensors, and machine learning algorithms to monitor what shoppers intend to purchase. Although the technology was recently removed from Amazon Fresh grocery stores, it continues to be utilized in stadiums, airports, and other businesses.
Previous versions of Just Walk Out relied on multiple AI models that communicated with each other to determine if a shopper picked up a product, if the product image matched the AI’s expectations, and how many items were taken. The new model consolidates these functions into a single system, enabling faster and more accurate decision-making, according to Jon Jenkins, vice president of Amazon’s Just Walk Out team.
The updated model simultaneously processes inputs from various sources, including videos of shoppers, product images, a 3D store map indicating item locations, and shelf sensors that measure weight changes when items are picked up.
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