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Nvidia he started Blueprint for AI Agents which can analyze video today as part of it Cost of CES 2025 The first opening is CEO Jensen Huang.
The new Nvidia AI Blueprint powered by Metropolis allows organizations and individuals to increase productivity and security, and can help Nvidia’s CEO improve its speed.
The next big moment in AI is in sight – literally.
Today, more than 1.5 billion business cameras are deployed worldwide producing approximately 7 trillion videos per year. However, only a small part of it is investigated.
It is estimated that less than 1% of industrial camera footage is viewed by the public, meaning that the most serious incidents may go undetected.
This comes at a high price. For example, manufacturers are losing trillions of dollars a year due to bad behavior or errors that they could have foreseen, or predicted, using AIs that can detect, analyze and help people take action.
Interactive AI assistants with visual abilities can be like
constant video surveillance, helping factories to run smoothly, promoting worker safety, monitoring operations and even athletics.
In order to further develop such support, Nvidia today announced the availability of such support
The new version of Nvidia AI Blueprint for video search and overview. Built on top of the Nvidia Metropolis platform – and now extended by the Nvidia Cosmos Nemotron language models (VLMs), Nvidia Llama Nemotron large language models (LLMs) and Nvidia NeMo Retriever – the platform gives developers the tools to build and deploy AI assistants. which can analyze large amounts of video and images.
The plan includes the Nvidia AI Enterprise software – which
it includes Nvidia NIM microservices for VLMs, LLMs and advanced AI systems for re-augmented generation – to process batch videos that are 30 times faster than real-time viewing.
The platform has a number of AI features – such as logic reasoning, task planning and tool calling – that will help developers design powerful and diverse visualizations to solve a variety of problems.
AI agents with video analysis capabilities can be combined with other agents with different capabilities to support more advanced AI tasks.
Businesses have the ability to build and deploy their own AI agents from the edge to the cloud.
AI agents with visual perception and analytical skills can be well adapted to help businesses with industrial applications by:
● Increase productivity and reduce waste: Sponsors can help ensure
working methods are followed during the critical period of the industry
methods such as drug assembly. It can also be changed with care
observe and understand the step-by-step actions, and the sequence in which they occur
has been established.
● Improving economic efficiency through the use of good facilities:
Agents can help optimize storage in warehouses by acting in 3D
volume calculation and placement between different cameras
rivers.
● Improving security through incident reporting and
Summarizing: Agents can organize multiple videos and summarize the accident stories. They can also help make sure
compliance with protective equipment in factories, organizing workers
industrial safety.
● Avoiding accidents and production problems: AI agents can detect them
countless events to quickly reduce the risk of work and safety, whether in a
a warehouse, factory or airport, or at an intersection or other urban location.
● Learn from the past: Agents can search for job videos
historical records, and important historical information and use them to solve problems or develop new strategies.
Another industry where AI video analytics is poised to succeed is sports – a $500 billion market worldwide, with hundreds of billions expected to grow over the next few years.
Coaches, teams and players – whether professional or non-professional – rely on video analytics to assess and improve player performance, prioritize safety and promote fan engagement through player analysis and data visualization platforms. With intelligent AI assistants, athletes now have access to deeper insights and a better chance of success.
In his opening keynote at CES, Nvidia’s Huang demonstrated an AI video assistant that evaluates the skill of amateur baseball players compared to professionals. Using recorded videos
from the first inning Huang threw to the San Francisco Giants
baseball team, the AI video assistant was able to define areas
change.
The $3 trillion media and entertainment industry is also poised to benefit from AI video analytics experts. Through the Nvidia Media2 platform, these providers will help create smart, optimized and powerful content that can adapt to the preferences of viewers.
Global partners include plans to build AI assistants for video analytics in their software development processes, including Accenture, Infosys, Linker Vision, Pegatron, TATA Consultancy Services (TCS), Telit Cinterion and VAST.