Chris Adzima describes how his law enforcement agency uses Amazon Rekognition for facial recognition:
Setup was fairly straightforward. In the Washington County jail management system (JMS), we have an archive of mugshots going back to 2001. We needed to get the mugshots (all 300,000 of them) into Amazon S3. Then we need to index them all in Amazon Rekognition, which took about 3 days.
Our JMS allows us to tag the shots with the following information: front view or side view, scars, marks, or tattoos. We only wanted the front view, so we used those tags to get a list of just those.
Read on for sample implementation details, including moving images to S3, building the facial recognition “database,” and using it.