Efficient video streaming and vision AI at the edge with Realtek, Plumerai, and Amazon Kinesis Video Streams

This article details a collaborative solution for efficient video streaming and vision AI at the edge, integrating Amazon Kinesis Video Streams, Realtek's Ameba Pro2 microcontroller, and Plumerai's machine learning models.

• Enables intelligent video monitoring with local AI processing
• Supports human detection and tracking at the edge
• Provides near real-time video streaming to AWS cloud
• Achieves approximately 10 frames per second processing
• Consumes only 20% of CPU and requires just 1.5MB ROM space

Key benefits include privacy preservation, reduced bandwidth costs, and advanced AI-driven video analytics for smart home and enterprise surveillance applications. The solution demonstrates how edge computing can enhance video monitoring capabilities while maintaining efficiency and performance.