Darius Baruo Nov 04, 2024 18:04
NVIDIA introduces a new AI Blueprint enabling industries to develop visual agents for video analysis, enhancing productivity and safety across various sectors.
NVIDIA has launched a pioneering AI Blueprint designed to revolutionize video search and summarization, allowing developers across various industries to build visual AI agents capable of analyzing video and image content. This advancement, as announced by NVIDIA, is set to enhance productivity and safety in sectors reliant on visual data.
Expanding AI Capabilities Across Industries
As enterprises and public sector organizations increasingly depend on visual information from devices like cameras and IoT sensors, NVIDIA’s AI Blueprint offers a customizable workflow combining computer vision and generative AI technologies. The blueprint is part of NVIDIA Metropolis, a suite of developer tools aimed at creating vision AI applications.
Global systems integrators such as Accenture, Dell Technologies, and Lenovo are integrating NVIDIA’s AI Blueprint into their offerings, facilitating the deployment of AI applications in settings like factories, warehouses, airports, and traffic intersections.
Harnessing Vision Language Models
The blueprint utilizes vision language models (VLMs), which merge computer vision and language understanding to interpret the physical world. NVIDIA’s AI Blueprint can be configured with NVIDIA NIM microservices and is compatible with models like Meta’s Llama 3.1 405B, enhancing capabilities in question answering and retrieval-augmented generation.
This innovative solution allows developers to bypass months of model optimization, enabling rapid deployment on NVIDIA GPUs across various platforms, including edge, on-premises, and cloud environments.
Applications and Benefits
In practical applications, AI agents can alert workers to safety breaches in warehouses or identify traffic collisions at busy intersections, aiding emergency response. Additionally, these agents can assess infrastructure conditions, offering proactive maintenance solutions.
Beyond industrial uses, visual AI agents can also summarize videos for individuals with impaired vision, generate sports event recaps, and assist in labeling large visual datasets for AI training purposes.
Global Integration and Future Prospects
Accenture has integrated NVIDIA AI Blueprints into its AI Refinery, enabling custom AI model development. In Southeast Asia, ITMAX and FPT are leveraging the blueprint for smart city and transportation applications, while Dell and Lenovo incorporate it into their AI solutions.
Moreover, companies like K2K in the NVIDIA Metropolis ecosystem are utilizing the blueprint to analyze live traffic feeds, helping city officials improve operations. This technology is currently being deployed in Palermo, Italy, to enhance traffic management.
For more details on this development, the NVIDIA AI Blueprint is showcased at the Smart Cities Expo World Congress in Barcelona. Interested parties can explore how to build visual AI agents and initiate projects with the blueprint on NVIDIA’s website.
Discover more about the NVIDIA AI Blueprint for video search and summarization by visiting the NVIDIA blog.
Image source: Shutterstock
