Explore the process of building an AI-Enabled Network Video Recorder (AI-NVR) using NVIDIA Metropolis microservices for Jetson in this 24-minute video tutorial. Gain insights into system services, microservices, and the AI-NVR application. Follow step-by-step instructions for hardware and software setup, starting services, and testing the application using VST UI and an Android app. Learn to run diagnostics and implement code samples for fetching RTSP streams, creating tripwires and regions of interest, and retrieving field of view data. Discover valuable resources for developing edge AI applications and solutions using NVIDIA's cloud-native building blocks.
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
