According to the suit, image recognition was touted in 2014, the year Amazon launched Amazon Photos, as “the tech world’s ‘next big thing’” in part due to the advances of “deep learning,” or the building of deep neural networks that simulate the mechanism of the human brain to interpret and analyze data. At the time, Amazon, however, “lagged slightly behind” Facebook, Apple and Google in the deep-learning arena, and the company, aiming to quickly catch up, acquired in 2015 deep-learning startup Orbeus to help develop its image-recognition capabilities for Amazon Photos, the case relays.
套装说，亚马逊推出了重新识别，更新版本的orbeus的重新识别深度学习界面，2017年说。虽然被告当时已承认其在其主要照片服务中的重新识别时，亚马逊没有向公众披露，即该技术是“通过分析每日上传数十亿的图像”培训，诉讼是诉讼，注意到the product’s appeal to certain third parties:
“换句话说，获得了从每天上传到亚马逊照片的数十亿图像的亚马逊的重新识别，获得了从数千万的图像的面部几何扫描的生物识别标识符。能够从存储在亚马逊照片中存储的所有图像中的“学习”，使重新识别更准确。This, in turn, made Rekognition more valuable to Amazon’s business, governmental, and organizational customers, enabling Amazon to profit from the biometric identifiers and information of not only millions of Prime customers but also millions of non-Prime customers whose images were uploaded to Amazon Photos, often without their knowledge or consent.”
The case looks to represent all Illinois residents who, while residing in the state, had their biometric identifiers, including scans of facial geometry and related biometric information, collected, captured, received or otherwise obtained by Amazon from photographs uploaded to another person’s Amazon Photos account.