AWS Machine Learning Blog
Category: HAQM Rekognition Video
Easily perform facial analysis on live feeds by creating a serverless video analytics environment using HAQM Rekognition Video and HAQM Kinesis Video Streams
In this blog post, we’ll use your webcam on your laptop to send a live feed to an HAQM Kinesis Video Stream. From there, a processor within HAQM Rekognition Video analyzes the feed and compares it to a collection we create. The output matches will get sent to us via an email through an integration with AWS Lambda and HAQM Simple Notification Service (HAQM SNS).
Build automatic analysis of body language to gauge attention and engagement using HAQM Kinesis Video Streams and HAQM AI Services
August 30, 2023: HAQM Kinesis Data Analytics has been renamed to HAQM Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. This is a guest blog post by Ned T. Sahin, PhD (Brain Power LLC and Harvard University), Runpeng Liu (Brain Power LLC and MIT), Joseph Salisbury, PhD […]
Use facial recognition to deliver high-end consumer experience with HAQM Kinesis Video Streams and HAQM Rekognition Video
Whatever your use case, real-time face recognition with Kinesis Video Streams and Rekognition Video is easy to set up and doesn’t require expensive hardware. The entire system built here is serverless and Rekognition Video qualifies for the AWS Free Tier.
Automated video editing with YOU as the star!
In this blog post, you will learn how to combine the capabilities of HAQM Rekognition Video and HAQM Elastic Transcoder to automatically convert a long video into a highlight video showing all footage of a given person.