The system will now be able to detect and recognize text in images so customers can feed in signs and documents and get the contents of those images back for further processing. That means Recognition can be used for making images of the physical world more intelligible by systems that are only built for processing textual data.
Customers will also be able to perform real-time face searches across collections of millions of faces. For example, Rekognition could be used to verify that an image of a person matches another one on file in an existing database of up to tens of millions of images, with sub-second latency.
That’s particularly useful in law enforcement cases, when customers want to match one person’s photo with existing images already on file. (It also raises questions about the ethics of a technology company building tools that law enforcement can use to pursue criminals.)
