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那么，如何用手部识别用户身份？原理和人脸识别差不多。系统会将用户的的手掌图像分割为更小的图像，从中提取出特征向量，并利用神经网络进行处理。经过特征向量的比对，系统便能辨认出来者的身份。亚马逊称，扫描设备可以放在给定位置的入口或出口，与用户的账户相关联。用户挑选物品后可以直接离开，系统会自动完成结算。

So, how to identify users with their hands? The principle is similar to face recognition. The system will segment the user's palm image into smaller images, extract the feature vector, and process it by neural network. After the comparison of feature vectors, the system can recognize the identity of the person. Amazon said that the scanning device can be placed at the entrance or exit of a given location, which is associated with the user's account. Users can leave directly after selecting items, and the system will automatically complete the settlement.

据《纽约邮报》等媒体报道，今年9月，亚马逊已开始在美国超市Whole Foods中测试这套系统。普通的刷卡交易需要3到4秒，但这一系统只需要0.3 秒，大大加快了结账速度。目前系统的识别错误率约为百万分之一，亚马逊正尝试改进到亿分之一以内。