Depth cameras were instead replaced by RGB cameras, which he said offer improved detection, while load cell sensors were seen as outdated due to the introduction of computer vision.Īmazon deploys both deep learning and computer vision in its stores, Medioni explained, to perform the trigger operation by detecting the motion of the shopper. Medioni outlined several changes, including the decision to drop both depth cameras and load cell sensors. The pixel and image data were then stored in the cloud.īut five years on, the technology has come a long way. Those cameras were then combined with load cell sensors in shelves that are triggered when something is taken and the weight is displaced. Upon launching Amazon Go in 2018, Amazon built its own depth cameras designed to capture not only an image but also a depth map for every pixel. Today, Amazon’s ‘Just Walk Out’ concept has been adopted by more stores and even lets customers pay with their palm prints.Īt the World Artificial Intelligence Cannes Festival (WAICF), Gérard Medioni, an AWS vice president who helped build the company’s physical store tech, explained how the ‘Just Walk Out’ idea went from an initial concept to being implemented in supermarkets, airports and stadiums. The idea was to alleviate customer frustrations from queueing to pay for purchases. An intuitive system of cameras and AI would determine what they purchased and charge it to their card. Dubbed Amazon Go, shoppers could walk in, pick up items and leave without going to checkout. In 2018, Amazon launched its first, public automated bricks-and-mortar store in Seattle.
0 kommentar(er)
