Introducing NVIDIA Vision Language Models (VLMs) for Dynamic Video Analysis
In the world of Artificial Intelligence (AI), NVIDIA has recently introduced a groundbreaking technology known as Vision Language Models (VLMs) that is set to revolutionize video analysis. This new development, as detailed in NVIDIA’s Technical Blog, offers a more dynamic and flexible approach to interacting with image and video input using natural language. This advancement is a game-changer that enhances AI capabilities at the edge with the Jetson Orin platform.
What are Visual AI Agents and How Do They Work?
Visual AI agents, powered by VLMs, allow users to ask a wide range of questions in natural language and receive insights that accurately reflect the true intent and context of recorded or live videos. These agents can be seamlessly integrated with other services and mobile apps using easy-to-use REST APIs. With VLMs, users can now summarize scenes, generate alerts, and extract actionable insights from videos using natural language, making the technology more accessible and user-friendly.
NVIDIA Metropolis: Accelerating AI Application Development
NVIDIA Metropolis introduces visual AI agent workflows that serve as reference solutions to accelerate the development of AI applications powered by VLMs. These workflows enable developers to extract insights with contextual understanding from videos, whether deployed at the edge or in the cloud. For cloud deployment, NVIDIA NIM provides a set of inference microservices with industry-standard APIs, domain-specific code, optimized inference engines, and enterprise runtime to power visual AI agents.
Building Visual AI Agents on the Edge with Jetson Platform Services
Jetson Platform Services offers a suite of prebuilt microservices that provide essential functionality for building computer vision solutions on NVIDIA Jetson Orin. These services include support for generative AI models and state-of-the-art VLMs, such as VILA, which combines a large language model with a vision transformer for complex reasoning on text and visual input. By leveraging Jetson Platform Services, developers can create VLM-based visual AI agent applications that detect events on live-streaming cameras and send notifications to users through mobile apps.
Integration with Mobile Apps for Real-Time Alerts
The integration of VLM-powered Visual AI Agents with mobile apps allows users to set custom alerts in natural language on selected live streams. The VLM service evaluates the live stream in real-time and notifies users through a WebSocket connected to the mobile app. This seamless integration enables users to ask follow-up questions in chat mode, enhancing the overall user experience.
Conclusion: Unlocking the Potential of VLMs and Jetson Platform Services
The combination of VLMs and Jetson Platform Services opens up a world of possibilities for building advanced Visual AI Agents. Developers can access the full source code for the VLM AI service on GitHub, providing a valuable reference for learning how to use VLMs and develop their own microservices. For more information and updates on this exciting technology, be sure to visit the NVIDIA Technical Blog.
With NVIDIA Vision Language Models and Jetson Platform Services, the future of AI-powered video analysis has never looked brighter. Stay tuned for more groundbreaking developments from Extreme Investor Network.