DeepStream SDK - Accelerating Real-Time AI-Based Video and Image Analytics

Explore accelerated real-time AI-based video and image analytics with NVIDIA's DeepStream SDK in this comprehensive lecture. Learn about Intelligent Video Analytics (IVA) applications across various industries, including retail, smart cities, manufacturing, and warehouse logistics. Discover the DeepStream graph architecture, accelerated plugins, and techniques for achieving real-time performance. Dive into specific use cases such as business intelligence in retail, intelligent traffic systems, automated optical inspection, and inventory sorting. Gain insights into metadata handling, message broker protocols, and end-to-end application development. Understand the integration of DeepStream with Azure IoT Edge messaging and explore reference applications, native YOLO functionality, and Docker container deployment for both GPU and Jetson platforms. Access developer resources and start building powerful AI-driven video analytics solutions using the DeepStream SDK.

Intro
INTELLIGENT VIDEO ANALYTICS (IVA) FOR EFFICIENCY AND SAFETY
DEEPSTREAM - MANY INDUSTRIES, FLEXIBLE DEPLOYMENT
WHAT IS DEEPSTREAM?
WHAT'S NEW IN DEEPSTREAM 4.0
IVA APPLICATION WORKFLOW
DEEPSTREAM GRAPH ARCHITECTURE
DEEPSTREAM ACCELERATED PLUGINS
ACHIEVING REAL-TIME PERFORMANCE
RETAIL: BUSINESS INTELLIGENCE
GST-NVTRACKER
TRACKER TRADEOFF
SMART CITIES: INTELLIGENT TRAFFIC SYSTEM
METADATA TO MESSAGE BROKERS
MESSAGE BROKER PROTOCOLS
END-TO-END APPLICATION
ANALYTICS APPLICATION
PERCEPTION - ANALYTICS - VISUALIZATION
MANUFACTURING: AUTOMATED OPTICAL INSPECTION
IMAGE SEGMENTATION
JPEG PROCESSING
WAREHOUSE LOGISTICS: INVENTORY SORTING
CONVEYOR BELT DEMO
DEEPSTREAM WAREHOUSE PIPELINE
AZURE IOT EDGE MESSAGING
REFERENCE APPLICATIONS
END-TO-END DEEPSTREAM APP
NATIVE YOLO FUNCTIONALITY
DEEPSTREAM DOCKER CONTAINER FOR GPU
DEEPSTREAM DOCKER CONTAINER FOR JETSON
METADATA STRUCTURE
DEVELOPER RESOURCES
START DEVELOPING WITH DEEPSTREAM