Any Industry Can Now Search and Summarize Vast Volumes of Visual Data

From NVIDIA.: 2024-11-04 11:00:05

Enterprises and public sector organizations worldwide are developing AI agents to enhance workforce capabilities using visual information from cameras, IoT sensors, and vehicles. NVIDIA introduces an AI Blueprint for video search and summarization, part of the Metropolis developer tools, to enable developers across industries to build customizable visual AI agents for various applications. Global integrators like Accenture, Dell, and Lenovo are bringing this Blueprint to businesses and cities globally to boost productivity and safety.
The NVIDIA AI Blueprint harnesses Vision Language Models (VLMs) to power visual AI agents for tasks like question answering and context-aware retrieval-augmented generation. Developers can configure the Blueprint with NVIDIA NIM microservices for VLMs and LLMs, enabling easy customization for unique environments and use cases. Deployed on NVIDIA GPUs, this Blueprint can save developers time and accelerate video analysis processes.
AI agents built using the NVIDIA AI Blueprint can be used in warehouses to alert workers of safety breaches, at busy intersections to identify collisions, and in infrastructure maintenance to identify degrading roads or bridges. These agents can also summarize videos for visually impaired individuals, generate event recaps, and label visual datasets for AI model training. The Blueprint is part of a collection of NVIDIA AI Blueprints that simplify AI model development and deployment for various applications.
Enterprise and public sector customers can leverage the full collection of NVIDIA AI Blueprints through NVIDIA’s partner ecosystem. Accenture has integrated the Blueprints into its AI Refinery platform to develop custom AI models. Global systems integrators in Southeast Asia are utilizing the video search and summarization Blueprint for smart city and intelligent transportation applications. Companies like Dell and Lenovo are incorporating the Blueprints into their AI platforms to enhance edge AI applications and support VLM capabilities in AI workflows for different use cases. Companies like K2K are using the Blueprint to build AI agents for real-time traffic analysis in smart city applications.
To learn more about the NVIDIA AI Blueprint for video search and summarization, visit the NVIDIA booth at the Smart Cities Expo World Congress in Barcelona. Discover how to build a visual AI agent for various industries and applications.



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