AWS for M&E Blog
Category: Internet of Things
Powering Fan Engagement for Racing Events with Amazon Location Service
For race organizers and sports teams, providing near real-time participant tracking across vast distances has traditionally required extensive physical infrastructure. With Amazon Location Service, you can now deliver immersive fan experiences by tracking athletes from motorsports to marathons at scale in the cloud. Whether it’s motorsports, cycling, running, or sailing, knowing participants’ locations in near […]
How Swimming Australia uses machine learning for real-time training pool analytics with AWS Panorama
In this blog post, we explore how Swimming Australia uses AWS Panorama from Amazon Web Services (AWS) to perform real-time computer vision (CV) inference at the edge with state-of-the-art computer vision models. We describe how to integrate an end user application with AWS Panorama along with the rationale for design strategies and their impact. This solution features services such as AWS Panorama for machine learning (ML) at the edge, Amazon Simple Queue Service (Amazon SQS) for messaging, Amazon Kinesis Video Stream for video streaming, and AWS App Runner for the end user application.
Delivering rugged video and spatial streaming capability in a flexible, cost-effective solution
The Government of the Australian Capital Territory (ACT) Emergency Services Agency (ESA) leverages the security and reliability of Amazon Web Services (AWS) for live video streaming, archive, and complex spatial data processing. ESA is the ACT Government organisation charged with providing emergency management services to the Canberra community and works closely with its counterparts across […]
How-to: Capturing and amplifying user engagement through real-time sentiment analysis
Often times in the evening, I come across a random television commercial that has nothing to do with my interests and it totally missed the mark. Several weeks back, I began thinking, what if there was a way for advertisers to be able to dynamically adjust content based on how I was feeling? What if […]