NVIDIA has introduced its latest AI Blueprint, a tool designed to enhance video search and summarization across various industries. This new blueprint is part of NVIDIA Metropolis, a suite of developer tools aimed at building advanced vision AI applications. The AI Blueprint enables developers to create visual AI agents that can analyze vast amounts of video and image data, answer user queries, generate summaries, and issue alerts based on specific scenarios.
Accenture, Dell Technologies, and Lenovo are among the major companies leveraging this new NVIDIA AI Blueprint. These collaborations are helping businesses and public sector organizations develop AI solutions that improve productivity, optimize processes, and enhance safety in environments such as factories, warehouses, retail stores, airports, and traffic intersections. By integrating the AI Blueprint into their existing platforms, these companies can offer tailored AI models that meet the unique needs of their clients.
The AI Blueprint utilizes Vision Language Models (VLMs), which combine computer vision with language processing to interpret and reason about visual data. It supports integration with NVIDIA’s NIM microservices, including models like NVIDIA VILA and Meta’s Llama 3.1 405B. Additionally, developers have the flexibility to swap in other VLMs, Large Language Models (LLMs), and graph databases as required. This adaptability is further enhanced by the NVIDIA NeMo platform, which allows for fine-tuning models to suit specific environments and use cases.
One of the standout applications of the NVIDIA AI Blueprint is in the development of smart city infrastructures. Companies such as K2K are using the blueprint to build AI agents that analyze live traffic camera feeds, providing city officials with real-time insights into traffic conditions, accidents, and street activity. This capability not only aids in urban management but also improves emergency response times.
In manufacturing settings, AI agents developed with the NVIDIA AI Blueprint can monitor production lines to ensure safety protocols are followed, alerting workers to potential hazards. Similarly, in public infrastructure, these AI agents can review aerial footage to detect wear and tear on roads, bridges, and railways, facilitating proactive maintenance efforts. The blueprint also has applications in accessibility, where visual AI agents can generate video summaries for individuals with visual impairments, and in media, where automated video recaps of sporting events can be created.
NVIDIA is also enhancing productivity tools through integrations with applications like Obsidian. By utilizing NVIDIA’s GeForce RTX technology, developers have created plug-ins such as Text Generator and Smart Connections. These plug-ins allow users to generate content and query their notes using large language models (LLMs), making AI more accessible for everyday tasks. For instance, users can generate detailed notes for complex projects or retrieve specific information from extensive note collections effortlessly.
The NVIDIA AI Blueprint is available for free download, allowing developers to experiment and build AI solutions. For production deployment, the blueprint can be utilized through NVIDIA AI Enterprise, a comprehensive software platform that supports data science workflows and accelerates generative AI development.
