NVIDIA AI Blueprint

Utilize NVIDIA AI to build video search and summarization agents.

CommonProductVideoComputer VisionVideo Analysis

NVIDIA AI Blueprint for Video Search and Summarization is a reference workflow based on NVIDIA NIM microservices and generative AI models, designed to build visual AI agents capable of understanding natural language prompts and executing visual question answering. These agents can be deployed in various scenarios, such as factories, warehouses, retail stores, airports, and traffic intersections, assisting operations teams in making better decisions based on rich insights generated from natural interactions.

• Video understanding: Achieve long video comprehension by integrating VLM
LLM
and the latest RAG technology.
• Video summarization: Provide interactive Q&A and custom alerts for real-time streaming via REST API.
• Knowledge graph: Construct and store a knowledge graph of videos for in-depth retrieval and analysis.
• Natural language interaction: Search and summarize video content through interaction with agents using natural language prompts.
• GPU acceleration: Accelerate video ingestion pipelines with GPU processing to reduce processing time.
• Scalability: Support additional GPU expansion to boost processing capacity and reduce latency.
• Easy integration: Offer REST API for convenient integration of agents into existing applications.

\The target audience includes developers and enterprises in the field of video analysis
particularly those in industries such as manufacturing
warehousing
retail
and traffic management. These sectors require extracting valuable information from video content for rapid decision-making. The product enhances their operational efficiency and responsiveness by providing robust video understanding and summarization capabilities.\

Monitoring production lines in factories
automatically detecting anomalies and generating reports.
Analyzing customer behaviors in retail stores
summarizing foot traffic and shopping patterns.
Real-time monitoring at traffic intersections to quickly identify traffic accidents and issue alerts.

1. Apply for early access to NVIDIA AI Blueprint.
2. Integrate video search and summarization agents into your application according to the provided REST API documentation.
3. Use the reference UI provided by NVIDIA for quick testing and configuration adjustments of the agents.
4. Customize the behavior of VLM (Video Language Model) and LLM (Language Learning Model) to meet specific needs by configuring natural language prompts.
5. Leverage knowledge graphs for in-depth analysis and retrieval of video content.

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