Optimize Processes for Large Spaces with the Multi-Camera Tracking Workflow – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Monika Jhuria <![CDATA[Optimize Processes for Large Spaces with the Multi-Camera Tracking Workflow]]> http://www.open-lab.net/blog/?p=83108 2025-03-21T20:30:26Z 2024-06-02T12:30:00Z This post is the first in a series on building multi-camera tracking vision AI applications. In this part, we introduce the overall end-to-end workflow,...]]> This post is the first in a series on building multi-camera tracking vision AI applications. In this part, we introduce the overall end-to-end workflow,...Decorative image of workflows in a line.

This post is the first in a series on building multi-camera tracking vision AI applications. In this part, we introduce the overall end-to-end workflow, focusing on building and deploying the multi-camera tracking system. The second part covers fine-tuning AI models with synthetic data to enhance system accuracy. Large areas like warehouses, factories, stadiums, and airports are typically��

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