Discover how to construct an AI-Enabled Network Video Recorder (AI-NVR) using NVIDIA Metropolis microservices for Jetson in this 23-minute video tutorial. Explore the process of creating an end-to-end insights and analytics application utilizing services such as data ingestion, video storage, inference, and tracking. Begin with an overview of system services and microservices before delving into the AI-NVR introduction. Follow along with hardware and software setup instructions, learn to start system services and microservices, and test the application using VST UI and an Android app. Gain practical knowledge through code samples for fetching RTSP streams, creating tripwires and regions of interest, and retrieving field of view data. Conclude with a summary of resources and additional learning materials to further enhance your understanding of NVIDIA Metropolis and edge AI applications.
Building an AI-Enabled Network Video Recorder with NVIDIA Metropolis Microservices for Jetson
Overview
Syllabus
- Build AI-Enabled Network Video Recorder Using NVIDIA Metropolis Microservices for Jetson
– Introduction to System Services
– Introduction to Microservices
Introducing AI NVR
- Hardware Setup
- Software Setup
- Start AI NVR System Services and Microservices
- Test Application Using VST UI
- Test Application Using Android App
- Run Diagnostics
- Code Sample to Fetch RTSP Streams
- Code Sample to Create a Tripwire
- Code Sample to Create a Region of Interest ROI
- Code Sample to Fetch Field of View FOV Data
- Resources and Summary
Taught by
NVIDIA Developer
