The Age of Video Analytics AI Agents Has Arrived
Video content dominates the modern digital landscape, accounting for over 50% of global data traffic. Despite its prevalence, less than 1% of video data is analyzed for insights. This gap is particularly significant in physical industries, which account for nearly half of global GDP and face challenges such as labor shortages and increasing demand for automation. To address this, NVIDIA has made its AI Blueprint for video search and summarization (VSS) generally available, empowering developers to create sophisticated AI agents for real-time and archived video analysis.
Revolutionary Video Analytics Capabilities
The VSS blueprint, powered by the NVIDIA Metropolis platform, combines advanced computer vision models with super intelligent large language models (LLMs) to enable enterprises to easily analyze, search, and summarize vast video volumes. These video analytics AI agents are unlocking unprecedented value across industries, from manufacturing and smart cities to sports leagues. For example, manufacturers are using AI agents to enhance worker safety and productivity by optimizing forklift distribution and worker positioning.
Key Features of the VSS Blueprint
The VSS blueprint offers robust features including:
- Summarizing videos 100 times faster than real-time viewing
- Processing hundreds of live video streams simultaneously
- Audio transcription capabilities for enhanced contextual understanding
- Expanded hardware support, including deployment on single NVIDIA A100 or H100 GPUs
- Edge deployment on NVIDIA RTX 6000 PRO and NVIDIA DGX Spark platforms
Industry Leaders Adopting VSS Technology
Several industry leaders are already leveraging the VSS blueprint to drive business value:
- Pegatron, a leading electronics manufacturer, has reduced labor costs by 7% and defect rates by 67% using visual analytics agents.
- Kaohsiung City, Taiwan, has improved incident response times by up to 80% through a unified smart city vision AI application.
- The National Hockey League is using the VSS blueprint to streamline vision AI workflows for managing massive game footage volumes.
- Siemens has reported a 30% increase in productivity using its Industrial Copilot for Operations, built with VSS components.
Expanding Ecosystem of AI Solutions
NVIDIA’s partners are using the VSS blueprint to accelerate the development of agentic AI video analytics capabilities. For instance, Superb AI set up an advanced airport operations project at Incheon Airport in weeks, while ITMAX is building visual AI agents for Kuala Lumpur’s city management. In the advertising sector, PYLER integrated VSS into brand safety and ad targeting solutions, demonstrating the blueprint’s versatility across various industries.
Developers can try the VSS blueprint on build.nvidia.com and explore more details in NVIDIA’s technical blog. The technology’s potential to transform industries through enhanced video analytics is vast and rapidly evolving.
