Efficient Video Streaming and Vision AI at the Edge with Realtek, Plumerai, and Amazon Kinesis Video Streams

This article discusses a solution for efficient video streaming and vision AI at the edge using Realtek, Plumerai, and Amazon Kinesis Video Streams. The solution combines Amazon Kinesis Video Streams, Realtek's low-power Ameba Pro2 microcontroller, and efficient machine learning models from Plumerai. The architecture allows for event-triggered video uploads coupled with human detection algorithm processing at the edge, reducing bandwidth costs and maintaining privacy. The solution also enables the use of Large Language Models (LLMs) for Agentic AI insights and semantic video search.